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Hybrid beamforming ieee. However, establishing UAV-enabled mmWave MIMO communication is challenging duo to the high hardware cost in terms of radio frequency (RF) Massive Multiple-Input, Multiple-Output (MIMO) technology is pivotal in the deployment of 5G networks, playing a crucial role in augmenting the performance and capacity of wireless communication systems. The goal is to maximize energy efficiency using energy- and hardware-efficient hybrid beamforming architectures at the base station and low This paper studies hybrid beamforming for active sensing applications, such as millimeter-wave or ultrasound imaging. Simulations show that the proposed beam tracking method has For the millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid beamforming has been proposed to reap a great gain of the large number of antennas with a limited number of radio frequency (RF) chains. Using a hybrid beamforming design, we derive an approximate closed-form expression of rate and provide a power allocation design under the line-of-sight (LoS) channels. To solve this difficult nonconvex problem, the Semidefinite Relaxation (SDR) method is employed to obtain the digital transmitter, the Subspace Hybrid Beamforming for Head-Worn Microphone Arrays Date Added to IEEE Xplore: 05 May 2023 ISBN Information: Electronic ISBN: 978-1-7281-6327-7 Print on Demand(PoD) ISBN: 978-1-7281-6328-4 ISSN Information: Online ISSN: 2379-190X Print on Demand(PoD In this paper, a simplified yet flexible half-duplex hybrid beamforming (HBF) architecture along with the adaptive beam scanning and direction-finding methodology for the 360° HBF system has been proposed. In this system, a base station (BS) with a hybrid analog-digital (HAD) architecture sends unified wireless signals to communicate with multiple information receivers (IRs), sense multiple point targets, This paper considers the cloud radio access network (C-RAN) based millimeter-wave (mmWave) cell-free communications, where multiple remote radio heads (RRHs) are distributed to provide reliable communication links to users via analog beamforming and connected to centralized baseband unit (BBU) which carries out digital signal processing. Specifically, the neural network structure consists of three functional These motivated the recent development of the hybrid-beamforming architecture, where MIMO signal processing is divided for separate implementation in the analog and digital domains, called the analog and digital beamforming, respectively. However the operation bandwidth of PAAs is limited to narrow(~200MHz) due to beam-squint problem. As a starting point, assuming the use of a codebook with infinite precision, we apply transposes of antenna array response matrices as In this paper, aiming at taking full advantage of the available bandwidths in this frequency range, we propose a hybrid beamforming algorithm adopting dynamic array of subarrays architecture in a point-to-point Ultra Massive Multiple Input Multiple Output (UM-MIMO) system. The proposed designs incorporate both total IoTNe and individual IoT node power constraints, while also eliminating the need for a baseband receiver combiner at Ignoring the imperfect knowledge of the channel state information (CSI) in multiple-input multiple-output integrated sensing and communications (MIMO-ISAC) systems would degrade the performance of hybrid digital-analog beamforming. This paper focuses on a deep learning (DL) framework for the Sub-6G aided millimeter-wave (mmWave) communication system, aiming to reduce the overhead of mmWave systems. This letter proposes a deep learning-based HBF method for wideband mmWave systems. In this paper, we consider the problem of hybrid beamforming design for multi-user multiple-input multiple-output integrated sensing and This paper investigates the energy-efficient hybrid beamforming design for a multi-functional integrated sensing, communications, and powering (ISCAP) system. It is revealed that the total In this paper, an efficient hybrid beamforming architecture combining analog and digital beamforming is proposed to reduce the number of radio frequency (RF) chains. In the analog processing network of these architectures, the practical sub-connected structure requires lower power consumption and In this letter, we investigate the beamforming design for millimeter-wave (mmWave) joint unicast and multicast (JUM) systems, in which the common and private signals are transmitted simultaneously. The The second challenge involves limited research on hybrid beamformer design during the channel estimation period, unlike the extensive focus on the data transmission period. In order to compensate the severe attenuation, the THz wireless systems employ large arrays, wherein the near-field beam-squint severely degrades the beamforming accuracy. To overcome these hurdles, this paper presents a neural network-aided joint optimization of the beamformer and localization function for near-field channel estimation, customized to the Next, a joint hybrid beamforming and user scheduling scheme is proposed to dramatically improve the performance of the multi-satellite cooperative network. We further characterize the mmWave wideband channel from Saleh-Valenzuela model. We consider a three-dimensional Abstract: In this letter, we consider hybrid beamforming for millimeter wave (mmWave) MIMO integrated sensing and communications (ISAC). Furthermore, a hybrid design for the receiver is proposed based on the concept of vector quantization. Hybrid analog-to-digital beamformers have been identified as a cost-effective and energy-efficient solution towards deploying such systems. Manifold optimization and orthogonal matching pursuit techniques are considered for the evaluation of the proposed approach in multi-user scenario. In this paper, we develop a novel downlink cell-free multiple-input multiple-output (MIMO) millimeter wave (mmWave) network architecture that enables all APs and UEs to dynamically self Multi Antenna systems such as beamforming and MIMO are anticipated to play a key role in 5G and beyond 5G communications. Recently, intelligent reflecting surface (IRS) has been proposed as an innovative technology In this paper, we investigate the hybrid beamforming design with sub-connected structure for millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) amplify-and-forward (AF) relay systems. In This study proposes a joint design approach for hybrid beamforming and reflecting beamforming in an intelligent reflecting surface (IRS)-assisted millimeter-wave massive multiuser multiple-input single-output system. Finding a trade-off between analogue circuit complexity and achievable data rates When the wireless communication system evolves to massive multiple-input multiple-output (MIMO) system, the system becomes more and more complex. A transmit power minimization problem is formulated by jointly optimizing the analog beamformer Abstract: In this paper, we propose an analog beamsteering approach for enabling flexible hybrid beamforming design that can achieve performance close to singular value decomposition (SVD) based digital beamforming with single user case. In this work, the CSI imperfection is taken into account for designing robust dual-function digital and analog beamformers to ensure the This paper proposes a scheme to integrate data communication, wireless energy harvesting and anti-eavesdropping functions into a hybrid beamforming downlink system to satisfy the demand for expanded functionalities in a communication system. The condition that a hybrid beamforming of the subarray type can create the multiple high gain The potential of using of millimeter wave (mmWave) frequency for future wireless cellular communication systems has motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, employing the conventional fully digital beamforming Hence, the proposed BSA approach effectively mitigates the impact of beam-split and it can be applied to any hybrid beamforming architecture. However, the conventional fully digital beamforming methods which require one radio frequency (RF) chain per antenna element is not viable for large-scale In this paper, a neural-network (NN) based digital predistortion (DPD) model is proposed for the fully-connected (FC) hybrid beamforming (HBF) massive MIMO (mMIMO) transmitters. Such hybrid architectures enable us to exploit large array antenna gains while reducing the cost and power consumption of the hardware. We aim to suppress the sidelobes and optimize the mainlobes of the transmit beams by minimizing the proposed cost function based on the least squares (LS) for the digital beamforming vector of the base station (BS) and the phase shifts In this paper, we present hybrid beamforming scheme based on alternating minimization and a few number of fixed phase shifters to maximize energy efficiency in the uplink CF mmWave massive MIMO systems. This paper considers the problem of robust hybrid beamforming design for multiple-input multiple-output (MIMO) integrated sensing and communications (ISAC) syst Date Added to IEEE Xplore: 26 August 2024 ISBN Information: Electronic ISBN: 979-8-3503-4481-3 Print on Demand(PoD) ISBN: 979-8-3503-4482-0 ISSN Information: Hybrid analog and digital beamforming (HBF) for large-scale antenna arrays with limited radio frequency chains has been regarded as one of the promising candidates for future wireless communications. In this paper, a serial and a hybrid serial-parallel TTD configuration are investigated for hybrid beamforming architectures. This paper proposes a novel mmWave multiple-input multiple-output (MIMO) design for configuring the analog and digital beamformers of a full-duplex transceiver. First, we address the non-stationary multi-armed bandit (MAB) problem by considering the codeword index and signal-to-noise ratio (SNR) as the action and reward, respectively, for This paper proposes an angular speed 3D-based beam tracking method using hybrid beamforming. Built upon existing phased arrays, this scheme integrates an auxiliary-path vector modulator (VM) into each antenna element, which in turn, Conventional hybrid beamforming architecture uses the amplifiers right after the D2A modules. Hybrid beamforming architecture can be classified as fully This paper considers hybrid beamforming by combining an analog beamformer with a new regularized zero forcing baseband one, for multi-user millimeter-wave networks under a limited number of radio frequency (RF) chains. This Beamforming (BF) plays a critical role in enabling wireless communications in mmWave systems. Conventional hybrid beamforming leads to considerable baseband computation and suboptimal amplitude factor due to the use of The emergence of highly directional beamforming technology makes millimeter wave frequency band communication possible in future wireless communication networks. In the last stage of the hybrid beamforming, the goal is to generate sharp beam with maximal and preferably uniform gain. In this letter, we propose a novel probing beam optimization framework where three collaborative modules respectively realize PBM augmentation, sum-rate prediction and probing beam optimization. Especially, there has been widespread interest in development of hybrid beamforming (HB) technologies, in view of Beamforming has been one of the most important enabling techniques for millimeter wave (mmWave) communications and massive multiple-in-multiple-out (MIMO) systems. With ultra-wide bandwidth and ultra-large-scale antennas array in THz band, the beam squint becomes one of the critical This letter presents a novel hybrid analog-digital beamforming design for massive multiuser MIMO downlink transmission in sparse millimeter wave channels. In this paper, we investigate the partially-connected hybrid beamforming design for multi-user ISAC systems. In this paper, we investigate the nonconvex hybrid beam-forming problem of maximizing the average spectral efficiency of the point-to-point wideband mmWave MIMO system with DSs, where the Hybrid beamforming for Terahertz (THz) ultra-massive multiple-input multiple-output (UM-MIMO) systems is a promising technology for 6G space-air-ground integrated networks, which can overcome huge propagation loss and offer unprecedented data rates. In this article, we propose HBF schemes that leverage data to enable This paper presents a novel forward modeling digital predistortion (DPD) method for hybrid beamforming transmitters based on a single power amplifier (PA) feedback. We highlight the shortcomings of uniform linear arrays (ULAs) in generating such perfect beams, i. Simulation results demonstrate that our proposed scheme can significantly suppress the interference from the JS and achieve the array gain in the system. This architecture has a much lower number of transceiver (TRx) chains than the total antenna number, resulting in cost- and energy-efficient systems. In order to optimize both the beamformers and power Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter-wave (mmWave) multiple-input–multiple-output (MIMO) Internet of Things Network (IoTNe). However, the performance limits of these In this paper, we investigate the correlation between the sub-6GHz channel and the millimeter wave (mmWave) chan-nel, and then predict the mmWave downlink hybrid beamforming (HBF) matrices directly from the sub-6GHz uplink channel, based on a sophisticatedly designed deep learning architecture. g. Based on the multipath characteristics of millimeter wave frequency communication, a high-precision multipath channel estimation algorithm based on signal subspace is proposed. Simulations on a 2-stream 64-element FC HBF In millimeter wave (mmWave) systems, desirable spectral efficiency can be realized by the hybrid beamformer in which a large sized analog beamformer and a small sized baseband digital beamformer are cascade-connected together to reduce the system cost. In this work, the CSI imperfection is taken into account for designing robust dual-function digital and analog beamformers to ensure the Hybrid beamforming is a signal processing technique composed of multiple components that is of significant importance in reducing transceiver costs and improving spectral efficiency in the context of highly directive wireless communications. It This paper studies the cross-layer challenges and performance of Hybrid Beamforming (HBF) and Multi-User Multiple-Input Multiple-Output (MU-MIMO) in 5G millimeter wave (mmWave) In the hybrid beamforming for the THz wideband system, the enormous antenna and ultra-wide bandwidth cause the spatial- and frequency-wideband effect, resulting in acute beam squint. In principle, we can obtain unconstrained (optimum) beamformers of a transceiver, which approach the maximum achievable data rates, through its singular value In conventional secure precise wireless transmission (SPWT), fully digital beamforming (FDB) has a high secrecy performance in transmit antenna system, but results in a huge RF-chain circuit budget for medium-scale and large-scale systems. Hybrid beamforming can substantially lower the cost and power consumption of fully digital sensor arrays by reducing the number of active front ends. It covers system models, This paper presents a holistic view on hybrid beamforming for 5G and beyond mm-wave systems, based on a new taxonomy for different hardware structures. These techniques either offer more complexity or Hybrid beamforming has attracted considerable interest in the development of next-generation wireless communications operating in the terahertz (THz) band. Nevertheless, it would be costly to use a fully digital beamforming architecture, where each antenna is In this paper, a novel intelligent transmission surface (ITS) assisted terahertz (THz) wideband massive multiple-input multiple-output (MIMO) non-terrestrial communication architecture is conceived, which is capable of reducing the hardware cost and power consumption remarkably compared to traditional architectures. In particular, subarray hybrid beamforming can further decrease power consumption by reducing the number of phase-shifters. For a base station, with the condition that the number of radio-frequency (RF) chains is relatively smaller than that of users, we consider opportunistic beamforming with analog beams for Hybrid beamforming for Terahertz (THz) ultra-massive multiple-input multiple-output (UM-MIMO) systems is a promising technology for 6G space-air-ground integrated networks, which can overcome huge propagation loss and offer unprecedented data rates. Beamforming is considered as one of the most important enabling techniques for millimeter wave (mmWave) with massive multiple-in-multiple-out (MIMO) communications systems. To lower complexity, channel statistics can be utilized such that only infrequent update of the channel Cooperative hybrid transmit precoder (TP) and receive combiner (RC) design algorithms are conceived for cell-free millimeter wave (mmWave) multiple-input multiple-output (MIMO) networks, operating in the face of asynchronous interference (ASI). In the mobile terminal, an iterative Hybrid analog/digital architectures for beam forming and precoding have been a topic of significant research interest in recent times, especially in the context of millimeter wave (mmW) and massive MIMO systems. Most of the prior work on hybrid beamforming focused on fully Joint Hybrid Beamforming (HBF) and Power Allocation (PA) in mmWave nonorthogonal multiple access (NOMA) systems are investigated in this letter. Explore the beamsteering algorithms and the hardware testbed from National In this paper, we track the progress in hybrid beamforming for massive MIMO communications in the context of system models of the hybrid transceivers’ structures, the This hybrid beamforming design reduces the cost and power consumption which is aligned with an energy-efficient design vision of 5G. In Beamforming and non-orthogonal multiple access (NOMA) serve as two potential solutions for achieving spectral efficient communication in the fifth generation and beyond wireless networks. However, the design of Hybrid beamforming communication systems allow the reduction of digital channels by splitting the precoding into a digital and analogue part. To resolve this issue, an This paper proposes an asymptotically optimal hybrid beamforming solution for large antenna arrays by exploiting the properties of the singular vectors of the channel matrix. Hybrid beamforming, which consists of an RF precoder and a baseband precoder, has been proposed to reduce the number of RF chains at the massive multiple input multiple output (MIMO) base station (BS). However, most of the initial references on HBF design assume frequency-flat single-carrier MIMO systems. Analog Beamforming, on the other hand, can not achieve as good spectral efficiency as required for A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives Irfan Ahmed, Senior Member, IEEE, Hedi Khammari, Adnan Shahid, Senior Member, IEEE, Ahmed Musa, Kwang Soon Kim, Senior Member, IEEE, Eli De Poorter, Ingrid Moerman Abstract—The increasing wireless data traffic demands have Hybrid beamforming (HBF) array structure has been extensively demonstrated as the practically feasible architecture for massive multiple-input multiple-output (MIMO). The short wavelength of THz wave has enabled thousands of antennas to be tightly packed inside a small area to provide sharp and accurate beamforming. Sparse arrays can be used to further reduce hardware costs. In this article, we propose HBF schemes that leverage data to enable In this paper, two novel hybrid beamforming methods are proposed to reduce the cost and power consumption of hybrid beamformers with a subconnected phase shifter network structure in massive multiple-input multiple-output systems. The condition that a hybrid beamforming of the subarray type can create the multiple high gain The minimal performance disparity that exists between the proposed algorithm and the considered digital beamforming (DBF) scheme as the upper bound validates the hybrid beamforming design. Existing studies primarily This letter proposes a hybrid beamforming design for an intelligent transmissive surface (ITS)-assisted transmitter wireless network. The obtained results indicate the trade-off in Hybrid beamforming (HBF) with massive multiple-input multiple-output (MIMO) is a promising technology for reaching a compromise between hardware complexity and system performance in 5G millimeter-wave (mmWave) communications systems. In the last stage of the hybrid This paper reviews various hybrid beamforming structures that combine analog and digital processing to reduce hardware cost and training overhead in massive MIMO systems. A max-min signal-to-interference-plus-noise ratio (SINR) fairness problem is formulated. For We propose novel hybrid beamforming schemes for the terahertz (THz) wireless system where a multi-antenna base station (BS) communicates with a multi-antenna user over frequency selective fading. Numerical simulations show that significant performance improvement can be Hybrid beamformer design plays very crucial role in the next generation millimeter-wave (mm-Wave) massive MIMO (multiple-input multiple-output) systems. The proposed designs incorporate both total IoTNe and individual IoT node power constraints, while also eliminating the need for a baseband receiver combiner at This paper designs a novel hybrid (a mixture of analog and digital) beamforming and examines the relation between the hybrid and digital beamformings for downlink multiuser massive multiple input multiple output (MIMO) systems. This approach makes the transmission of multiple data streams using large-scale antenna arrays in millimetre wave regime practicable. Most of the prior work on hybrid beamforming focused on fully A promising solution to these problems lies in the concept of hybrid transceivers, which use a combination of analog beamformers in the RF domain, together with digital beamforming in baseband, connected to the RF with a smaller number of up/downconversion chains. Prior research on hybrid beamforming was frequently driven by optimization or greedy search methods. To reduce the complexity, this letter considers a hybrid digital and analog (HDA) structure with random We propose a low-complexity hybrid beamforming scheme with fast beam training based on collaborative learning to improve energy efficiency in multiuser millimeter wave (mmWave) systems. Assuming perfect channel state information is acquired, we consider a single cell downlink multi-user massive MIMO system working in a generic channel In this letter, we consider hybrid beamforming for unmanned aerial vehicle (UAV)-assisted communications with massive multiple-input multiple-output (MIMO). Owing to the discrete-phase constraints, this problem is a mixed integer Beamforming and non-orthogonal multiple access (NOMA) serve as two potential solutions for achieving spectral efficient communication in the fifth generation and beyond wireless networks. However, most of works focus on the beamforming (or combining) method design with an impractical analog Hybrid Beamforming for Dual-Functional Radar-Communication Systems Abstract: In recent years, spectrum congestion has become a significant issue. It compares different With the motivation of giving more insights and in-deep technical recommendations to B5G network designers regarding hybrid beamforming, we present a hybrid beamforming Hybrid beamforming is a cost-effective alternative, which can significantly reduce the hardware cost and power consumption by employing a small number of RF chains. The second stage aims to design robust hybrid beamforming with the obtained UAV This paper proposes and analyses a set of novel and optimum multi-streaming techniques for mmWave multi-input multi-output systems. The hybrid beamforming relies on a phase shifter network (PSN) in the RF domain to steer the signal power along the desired Hybrid beamforming (HBF) structures have been recently proposed as one of the solutions to reduce cost and energy consumption of fully-digital multi-user MIMO systems in the millimeter-wave range. To overcome high path-loss in the mmWave frequency band, beamforming technology is necessary. However, the FC-HBF structure suffers from significant linearity deterioration, limiting its applications in actual mmWave transmitters. However, placing them at the phase shifters or at the antennas, can effect the SE of hybrid beamforming. Thus, significant attention has been paid to spectrum-sharing. According to As communication systems that employ millimeter wave (mmWave) frequency bands must use large antenna arrays to overcome the severe propagation loss of mmWave signals, hybrid beamforming has been considered as an integral component of mmWave communications. We consider phased arrays and This letter proposes a novel hybrid beamforming design to cancel the JS that significantly reduces the computational complexity and incurs less feedback signaling overhead. HB consists of two stages. Specifically, we deploy an IRS to assist the secure transmission from a base station with cost-effective hybrid beamforming to a cell-center user (U1) and a cell-edge user (U2), with the existence of a potential eavesdropper. As an evolution, the B5G/6G has strong visions of high-accurate positioning capabilities other than the communication quality, thus a beam Beamforming Design for Hybrid Active-Passive RIS Assisted Integrated Sensing and Communications Abstract: In this letter, we investigate the robust beamforming design for a hybrid active-passive reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, where the RIS consists of both active and passive reflecting Hybrid beamforming is known to be a cost-effective and wide-spread solution for a system with large-scale antenna arrays. In this article, we propose HBF schemes that leverage data to enable Beamforming Design for Hybrid Active-Passive RIS Assisted Integrated Sensing and Communications Abstract: In this letter, we investigate the robust beamforming design for a hybrid active-passive reconfigurable intelligent surface (RIS) assisted integrated sensing and communication (ISAC) system, where the RIS consists of both active and passive reflecting Hybrid Beamforming Design with Overlapped Subarrays for Massive MIMO-ISAC Systems Abstract: Integrated sensing and communications (ISAC), supported by massive multiple-input multiple-output (MIMO), can provide simultaneously improvement of sensing capability and communication capacity. We propose a suboptimal low-complexity hybrid zero-forcing (ZF) This letter proposes a hybrid beamforming design for an intelligent transmissive surface (ITS)-assisted transmitter wireless network. Here, we assume that the BS employs sub-connected hybrid beamforming and multi-carrier modulation to deliver ultra high data rate. Particularly, we apply a HBF architecture with dynamic subarrays and double phase shifters in the DFRC Probing beam measurement (PBM)-based hybrid beamforming provides a feasible solution for cell-free MIMO. While fully digital BF (FDBF) has been widely recommended for microwave Specifically, we define the hybrid beamforming problem as an optimization challenge involving beamforming angle search based on transmitter-receiver collaboration. This work is the first to holistically consider the key In this paper, we propose a beam-oriented digital predistortion (BO-DPD) technique for power amplifiers (PAs) in hybrid beamforming massive multiple-input multiple-output (MIMO) transmitters, which can achieve linearization of the transmitted signal in the main beam direction and address the DPD implementation issue in the hybrid beamforming array. Simulations are given to show that the use of a hybrid beamforming structure incurs a minor degradation in transmission rate. Unfortunately, the beam squint effect, which changes the Most existing works have not considered the combination of multi-connectivity and hybrid beamforming, as well as their support for videos. Hybrid beamformers for the max-min fairness problem are designed to maximize the minimum covert rate between Alice and the legitimate users subject to the power constraint for Millimeter wave (mmWave) systems with effective beamforming capability play a key role in fulfilling the high data-rate demands of current and future wireless technologies. This paper reviews the progress and challenges of hybrid beamforming for mmWave massive MIMO communications in 5G networks. We design a low complexity algorithm that assigns each pair of RF chain and analog beam to the users to effectively reduce channel correlation and cross-talk interference In this paper, we study the hybrid beamforming for the wideband mmWave MIMO-OFDM system with observation of beam squint. Single and double phase shifter-based analog radio frequency (RF) precoder/combiner strategies are We study beamforming cancellation for a full-duplex (FD) wideband millimeter wave (mmWave) point-to-point bidirectional link in which both multicarrier-based nodes transmit and receive simultaneously and on the same frequency. The focus is on hybrid architectures in which the analog subblock of the beamformer, common to all subcarriers, is fully-connected and based The overall beamforming matrix consists of analog RF beamforming implemented using phase shifters and baseband digital beamforming of much smaller dimension. In this paper, by considering the above factors, we propose a joint cell association, hybrid beamforming, and power allocation scheme in mmWave networks to improve video users' QoE. IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. However, its implementation is challenging in practical multiple-input multiple-output (MIMO) systems because non-convex optimization problems have to be solved, introducing additional latency and energy consumption. The sum secrecy rate is maximized via jointly designing the HBF and reflection. However, related research based on the hybrid analog-digital (HAD) architecture is still limited. We Analog/digital hybrid beamforming architectures with large-scale antenna arrays have been widely considered in millimeter wave (mmWave) communication systems because they can address the tradeoff between performance and hardware efficiency compared with traditional fully-digital beamforming. This concept was first introduced in the mid-2000s by one of the authors and A millimeter wave (mmWave) line-of-sight (LOS) multi-input-multioutput (MIMO) system is studied, where spatial multiplexing is achieved through LOS transmissions in near-field areas. Specifically, the PBM augmentation model Abstract: True-time delayers (TTDs) are popular components for hybrid beamforming architectures to combat the spatial-wideband effect in wideband near-field communications. The proposed hybrid regularized channel diagolnalization (HRCD) scheme combines analog (RF) phase-only beamforming with linear digital (baseband) precoding based on regularized Abstract: The large scale multiple-input multiple-output (MIMO) system with hybrid beamforming (HBF) is a promising communications technology due to its excellent tradeoff between hardware complexity and system performance. Hybrid precoding and combining are utilized at the transmitter and receiver sides of millimeter-wave multi-user massive MIMO. To decrease the power consumption and system complexity of hybrid beamforming structure, two subconnected analog beamforming methods are used: 1) with phase shifter, 2) In this paper, we propose a novel deep unsupervised learning-based approach that jointly optimizes antenna selection and hybrid beamforming to improve the hardware and spectral efficiencies of massive multiple-input-multiple-output (MIMO) downlink systems. It well balances the demand for sufficient beamforming gains to overcome the propagation loss and the desire to reduce the hardware cost and power consumption. The goal is to jointly Full-duplex millimeter wave (mmWave) communication has shown increasing promise for self-interference cancellation via hybrid precoding and combining. In the system, a multi-antenna base station which employs the sub-connected architecture adopts orthogonal frequency division multiplexing to serve a multi- antenna user. By building a wideband THz channel model, we Hybrid (analog-digital) beamforming has received tremendous attention for realizing multiuser multiple-input-multiple-output systems at millimeter wave frequencies. For a base station, with the condition that the number of radio-frequency (RF) chains is relatively smaller than that of users, we consider opportunistic beamforming with analog beams for Rather than considering only one legitimate user as in the existing works, we investigate multiple legitimate users served by Alice using multicast millimeter wave communications in this paper. It provides a good compromise between the higher degree of freedom of digital beamforming and hardware cost and complexity. e. First, we The 4G/5G era in the past decades has witnessed the vigorous development of Hybrid Analog and Digital Beamforming (HBF) technologies in the field of communications under cellular Multiple Input Multiple Output (MIMO) systems. In the proposed approach, antenna arrays at Tx/Rx Millimeter-wave (mmWave) communication with a large bandwidth can result in a significantly improved data rate in wireless communications. Aiming at maximizing the sum-rate of totally illuminated beam positions during the whole BH period, we To solve the non-convex problem with highly coupled variables, a two-stage optimization strategy is developed. To alleviate the above shortfall, in this paper we exploit the concept of constructive interference (CI) that has been shown to offer significant radiated power savings Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter-wave (mmWave) multiple-input–multiple-output (MIMO) Internet of Things Network (IoTNe). Their extension to the frequency-selective multi-carrier MIMOOFDM This paper studies the robust secure transmission for IRS-aided NOMA networks with cost-effective hybrid beamforming. Considering the constant-modulus and block-diagonal constraints, an iterative algorithm is proposed to sequentially design the analog Multiuser multiple input multiple output (MU-MIMO) millimeter wave (mmWave) communication is considered as a key technology to provide multi-gigabit train-to-ground wireless connections in the high-speed railway (HSR) system. Date Added to IEEE Xplore: 17 April 2019 ISBN Information: Electronic ISBN: 978-1-4799-8131-1 Print on Demand(PoD) ISBN: 978-1-4799-8132-8 ISSN Beamforming design is an important technique for enhancing the performance of integrated sensing and communication (ISAC) systems. A core challenge with designing HBF systems stems from the fact their application often involves a non-convex, highly complex optimization of large dimensions. A new hybrid beamforming (HB) technique is proposed to reduce the dimensionality of the covariance matrix and to have a better jamming and interference mitigation capability. In addition, the channel-state information (CSI) must be Optimizing a hybrid beamforming transmitter is a non-convex problem and requires channel state information, leading in most cases to nontrivial feedback overhead. We aim to suppress the sidelobes and optimize the mainlobes of the transmit beams by minimizing the proposed cost function based on the least squares (LS) for the digital beamforming vector of the base station (BS) and the phase shifts Conventional hybrid precoding and combining based transceivers require a large number of high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive hardware costs and power consumption. IEEE is the world's largest This paper considers hybrid beamforming in multiple-input multiple-output integrated sensing and communications systems. In beyond 5G, hundreds of Gbps In recent years, fully-connected hybrid beamforming (FC-HBF) architecture has aroused widespread interest for millimeter wave (mmWave) massive multi-input multi-output (MIMO) communication systems. The structure is constructed using up to 4 units of n × 4 antenna arrays with choice of gain and coverage sector, which is powered by only 4 RF beamforming chains. In this work, we consider two variants of a generative adversarial network (GAN), namely a conditional GAN (CGAN) and Wasserstein CGAN (WCGAN) to develop the hybrid precoder. Date Added to IEEE Xplore: 12 May 2023 ISBN Information: Electronic ISBN: 978-1-6654-9122-8 Print on Demand(PoD) ISBN: 978-1-6654-9123-5 ISSN In a cell-free wireless network, distributed access points (APs) jointly serve all user equipments (UEs) within their coverage area by using the same time/frequency resources. We assume that perfect channel state information is available only at the transmitter and we consider the total sum rate maximization problem. The proposed beamforming algorithm is effective Hybrid analog and digital beamforming is a promising technique for large-scale MIMO systems since it can achieve a performance close to the performance of the conventional fully-digital beamforming schemes, but with much lower hardware implementation complexity and power consumption. Hybrid digital and analog beamforming design has been the focus of considerable interest in the context of millimeter-wave massive multiple-input multiple-output systems because such a design can provide a flexible compromise between hardware complexity and system performance. In this paper, we jointly apply a hybrid beamforming and NOMA techniques to an unmanned aerial vehicle (UAV)-carried wireless-powered mobile edge computing (MEC) system, within which Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-input multiple-output (mMIMO) communications systems. In hybrid beamforming transmitters, when multiple data streams are transmitted simultaneously, implementing DPD requires that all the PA's outputs are sampled and divided into multiple To address these problems, we design BUSH, a large-scale MU-MIMO prototype that performs scalable beam user selection with hybrid beamforming for phased-array antennas in legacy WLANs. Aiming to reduce the power consumption and hardware cost of the mMIMO system, we employ a learning approach to synthesize the . To eliminate pattern distortion and further enhance beamforming performance, we propose an electromagnetic hybrid beamforming (EHB) scheme based on a three-dimensional (3D) In this paper, a simplified yet flexible half-duplex hybrid beamforming (HBF) architecture along with the adaptive beam scanning and direction-finding methodology for the 360° HBF system has been proposed. To address the above issue, both partially connected RF PSs and low-resolution PSs have been proposed. Instead of the Abstract: Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. The proposed framework consists of two-stage cascaded networks, named HestNet and HBFNet, for mmWave channel estimation and hybrid beamforming (HBF) design, respectively. IEEE is the world's largest technical professional organization dedicated to advancing technology for Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems Abstract: This letter considers a millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) transceiver system assisted by a reconfigurable intelligent surface (RIS). Considering the power consumption and hardware constraint, the hybrid beamforming (BF), which combines analog BF and digital BF, is widely adopted in Dynamic subarrays (DSs) is an energy-efficient and cost-effective hybrid beamforming structure for millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications. The first stage decodes, phase shifts the Economical and energy-efficient analog/digital hybrid beamforming has been widely considered as a promising approach for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. One of the major challenges in hybrid beamforming is to design the hybrid Hybrid analog-digital beamforming has been shown to reduce hardware cost and power consumption in massive MIMO systems, at the expense of increased radiated power for given performance targets. In contrast to most current works focusing on the HBF design for orthogonal frequency division multiplexing based mmWave This letter considers the transceiver design in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems for high-quality data transmission. In particular, the transmit hybrid beamformers are jointly designed with digital receive beamformers of users by maximizing the ratio of minimum mainlobe level to peak sidelobe level of the transmit beampattern, under constraints on the transmission power Terahertz (THz) communications are regarded as a pillar technology for 6G wireless systems, by offering multi-ten-GHz bandwidth. By employing ResNet to extract features from the channel matrices, two neural networks, i. Digital processing is carried out at a baseband In this paper, we propose an energy-efficient radar beampattern design framework for Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) systems, equipped with a hybrid analog-digital (HAD) beamforming structure. , the Millimeter-wave (mmWave) communication with a large bandwidth can result in a significantly improved data rate in wireless communications. However, most existing hybrid beamforming designs usually To overcome this practical limitation, hybrid beamforming can be utilized and the complexity of the transceiver can be reduced by implementing the RF domain processing using only the analog phase shifters. In this hybrid system, two bit RF phase shifters are used as analog Hybrid beamforming (HBF) is a key enabler for wideband terahertz (THz) massive multiple-input multiple-output (mMIMO) communications systems. Three popular scenarios are examined: i) the number of users is up to the number of RF chains in a single-cell network, ii) the number of users is up to We propose a novel hybrid beamforming (BF) scheme for the Terahertz (THz) wireless communication system over frequency selective channels. However, designing the hybrid beamforming vectors is a complex task due to the discrete nature of the subarray A hybrid analog and digital beamforming structure has recently emerged as a promising technique to make low-cost large scale multiple-input-multiple-output (MIMO) communication systems. We theoretically show that inter-subarray coding at the subarray type interleaved configuration can reduce interference and multiple beams of the same high gain as the full connection type. An emerging technique in wireless Analog/digital hybrid beamforming architectures with large-scale antenna arrays have been widely considered in millimeter wave (mmWave) communication systems because they can address the tradeoff between performance and hardware efficiency compared with traditional fully-digital beamforming. In this hybrid system, two bit RF phase shifters are used as analog Hybrid beamforming for multiple input multiple output (MIMO) radar systems in a jamming environment is investigated. This paper presents Learn how hybrid beamforming combines analog and digital domains to reduce cost and power consumption in mmWave communications. This paper considers precoder and receiver design for maximizing the spectral efficiency when the hybrid structure is used at both the transmitter and the receiver. Then, a joint caching replacement and information-centric hybrid beamforming optimization problem is formulated for minimizing the network power consumption. Eliminating beam squint is the This article reviews the various hybrid multiple-antenna transceivers that have been proposed for reducing the hardware cost and training overhead in massive MIMO With ZF digital processing and for a given type of analog beamforming, we derive general, yet simple, analytical expression characterizing the loss of per-user ergodic spectral Hybrid beamforming is a cost-effective alternative, which can significantly reduce the hardware cost and power consumption by employing a small number of RF chains. In stark contrast, this article This paper investigates dynamic hybrid beamforming (HBF) for a dual-function radar-communication (DFRC) system, where the DFRC base station (BS) simultaneously serves multiple single-antenna users and senses a target in the presence of multiple clutters. We consider downlink mmWave NOMA systems, in which HBF is done at the Base Station (BS), and all users have only one antenna. Fully digital beamforming has been proven to be infeasible from the hardware point of view. The primary goal of hybrid beamforming is to provide precoding performance as close as possible to that of a fully-digital precoder. , mmWave frequency band. It is revealed that the total Hybrid beamforming (HBF) with massive multiple-input multiple-output (MIMO) is a promising technology for reaching a compromise between hardware complexity and system performance in 5G millimeter-wave (mmWave) communications systems. The new method adopts one common Digital Beamforming has been one of the most important enabling techniques for millimeter wave (mmWave) communications and massive multiple-in-multiple-out (MIMO) systems. We present a means for constructing analog beamforming candidates from beam alignment measurements to afford our design greater flexibility in its aim to reduce self-interference. The Phased Array Antennas(PAAs) with phase shifter is the dominant method to achieve beamforming up to now. To overcome the short transmission distance and huge propagation loss, ultra-massive (UM) MIMO systems that employ sub-millimeter wavelength antenna arrays are proposed to enable an enticingly high array gain. By integrating hybrid analog-digital (HAD) beamforming into a multi-user millimeter-wave (mmWave) DFRC system, we design a new reconfigurable subarray (RS) architecture and jointly optimize the HAD beamforming to maximize the communication sum We propose a new method to tackle the predistortion problem for the hybrid beamforming structure of Millimeter-Wave (MM-Wave) Massive MIMO in 5G communication systems in order to widen the linearized angle of beams without any requirement or retuning on the nonlinearities of power amplifiers (PA). Since the hybrid beamforming (HBF) can approach the performance of fully-digital beamforming (FDBF) with much lower hardware complexity, we investigate the HBF design for beam-hopping (BH) low earth orbit (LEO) satellite communications (SatComs). Firstly, we present the beam squint effect in the wideband mmWave system. In this paper, we present a real-time mmWave (28GHz) massive MIMO testbed with hybrid beamforming. A two-stage scheme is proposed in order to avoid an A novel Caching-at-STARS structure, where dedicated smart controller and cache memory are installed at the STARS, is proposed to satisfy user demands with fewer hops and desired channel condition. We aim to design the HBF Hybrid analog-digital beamforming has been identified as an attractive technology, since it is able to effectively reduce hardware cost without significantly reducing the system performance, especially in large-scale antenna array systems. Most of the existing hybrid beamforming A promising solution to these problems is to adopt a hybrid beamforming architecture. The implementation cost, performance, and power efficiency of HDA beamforming depends In this letter, we investigate enhancing the physical layer security (PLS) for the dual-function radar-communication (DFRC) system with hybrid beamforming (HBF) architecture. The first stage aims to decouple the beamforming from the original problem and design the UAV deployment under the assumption of an ideal beam pattern. With ultra-wide bandwidth and ultra-large-scale antennas array in THz band, the beam squint becomes one of the critical The combination of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave) multiple-input multiple-out (MIMO) systems is considered as a key enabling technology for 5G networks, as it provides high data rate aerial links. However, almost all of the hybrid beamforming literature characterizes the spectral and energy efficiency performance for randomly located user terminals. Consequently, the hybrid beamforming, as a This letter considers hybrid analog-digital beamforming with discrete-phase shifters for multiuser multiple-input and single-output (MISO) downlink transmission in millimeter-wave (mm-wave) channels. In this paper, we investigate the hybrid beamforming design in the downlink multi-user massive MIMO systems. Previous works assume the perfect channel state information (CSI) which results heavy feedback overhead. In this paper, we investigate an anti-jamming hybrid beamforming (HBF) design in millimeter-wave (mmWave) massive MIMO systems for reliable wireless communications. We propose a new beam tracking algorithm that enables dynamic pilot insertion based on closed loop feedback control by utilizing the Line of Sight (LoS) path of the channel between T-BS and UAV-UE. Due to the hardware limitation, fully digital beamforming has been proven to be difficult to achieve for commercial cellular communication systems. , 10 phase shifters, achieves up to Dual-function-radar-communication (DFRC) is a promising candidate technology for next-generation networks. We design the transmit beam of a dual-functional radar-communication (DFRC) base station (BS), aiming at approaching the objective radar beam pattern, subject to the constraints of the signal to interference-plus-noise ratio (SINR) of Hybrid Beamforming for Millimeter Wave Integrated Sensing and Communications Abstract: The integrated sensing and communications (ISAC) system, which integrates radar sensing and communication into the same hardware platform, has been considered as one of the new paradigms for the sixth-generation wireless networks. Comparing to existing models, the proposed model can effectively linearize the virtual main far-field signal and achieves a better performance. In this paper, we We consider a practical scenario where the base station adopts the energy-efficient hybrid analog-digital beamforming (HBF). The proposed beamforming algorithm is effective In this paper, we propose an analog beamsteering approach for enabling flexible hybrid beamforming design that can achieve performance close to singular value decomposition (SVD) based digital beamforming with single user case. It facilitates the simultaneous handling of numerous users and devices by spatially segregating their signals. The design procedure of hybrid beamforming is investigated considering multi-user MIMO communication systems taking into account the number of independent data streams for each user. Hybrid beamforming (HBF) design for wideband millimeter-wave (mmWave) systems has two challenges: 1) design complexity due to frequency selectivity; 2) large pilot overhead and feedback overhead due to heavy dependence on the channel information. This is achieved by replacing some of the phase shifters with switches, which, in general, are cheaper and have lower power The large scale multiple-input multiple-output (MIMO) system with hybrid beamforming (HBF) is a promising communications technology due to its excellent tradeoff between hardware complexity and system performance. In this paper, we track the progress in hybrid The hybrid beamforming structures and algorithms discussed in this article can also be applied for investigating other promising research directions such as the joint design with CSI acquisition and uncertainty, Abstract: Massive MIMO and hybrid beamforming are among the key physical layer technologies for the next generation wireless systems. It formulates an optimization problem that enables exploiting available uncorrelated paths between the transmitter (Tx) and the receiver (Rx) to enhance the system throughput. We propose a methodology relying on the principles of deep generative models and unfolding to achieve near-optimal hybrid beamforming with reduced feedback and computational complexity. To enhance PLS in the considered DFRC system, we propose a novel HBF architecture, which introduces a new integrated sensing and security (I2S) symbol. Simulation results illustrate that our proposed scheme with much fewer fixed phase shifters, e. Due to the limitation of hardware, this problem becomes more challenging compared with the design of conventional digital beamforming schemes. We We propose a scheme for the concomitant design of hybrid beamforming and per-carrier transmit power allocation to mitigate the effect of random path blockages in coordinated multi-point (CoMP) systems using orthogonal frequency division multiplexing (OFDM) in millimeter-wave (mmWave) channels. Different from the conventional schemes designed by assuming perfect channel state information (CSI) of both communication channels and jamming channels. As a starting point, assuming the use of a codebook with infinite precision, we apply transposes of antenna array response matrices as Hybrid precoding is an integral function in multi-user millimeter wave (mmWave) massive multiple-input multiple-output (M-MIMO) systems to reduce complexity and cost while obtaining an acceptable sum rate. To enhance beam concentration and homogenization within any angle range, we propose a hybrid beamforming design in three steps. At the BS, user grouping uses the K-means-based algorithm A millimeter-wave beam multiplexing method using a hybrid beamforming is proposed. Due to the hardware limitation, the conventional fully digital beamforming methods are infeasible. We propose a novel deep learning based framework where the procedures of pilot design, channel feedback, and hybrid beamforming are realized by Dual-function radar-communication (DFRC) systems with Orthogonal Frequency Division Multiplexing (OFDM) make efficient use of spectrum, while maintaining reliable robustness against multipath fading for communication and improved estimation accuracy for radar. This paper studies the impact of channel state information (CSI) on the capacity of massive MIMO systems with codebook-based hybrid Ignoring the imperfect knowledge of the channel state information (CSI) in multiple-input multiple-output integrated sensing and communications (MIMO-ISAC) systems would degrade the performance of hybrid digital-analog beamforming. First, through analyzing radiation power ratio, we find the bases of beamforming vector to guarantee a satisfactory Hybrid Beamforming in Multiple User Massive Multiple Input Multiple Output 5G Communications System Date Added to IEEE Xplore: 28 May 2020 ISBN Information: Electronic ISBN: 978-1-7281-6788-6 USB ISBN: 978-1-7281-6787-9 Print on Demand(PoD) ISBN: 978-1-7281-6789-3 INSPEC Accession Hybrid beamforming is a promising technology for 5G millimetre-wave communications. A comprehensive analysis of the achievable rate in mmWave LOS MIMO system with respect to the rotation of uniform linear arrays (ULAs) is provided for both full-rank orthogonal We study the multiuser detection in a millimeter-wave (mm-wave) wireless communication system using hybrid beamformers, where uplink transmissions are considered under limited scattering. However, existing hybrid beamforming designs mainly rely on real-time channel training or beam sweeping to find the desired beams, which incurs prohibitive overhead due to a large number This article presents a new notch steering scheme for hybrid beamforming transmitters (TXs) aimed at suppressing spatial interference, thereby enhancing the signal-to-interference-plus-noise ratio (SINR) to support spatial multiplexing. Secondly, in the full-connected hybrid architecture, we seek for the optimal Hybrid NOMA Offloading With Semi-Dynamic IRS Beamforming in Wireless Powered MEC Systems Abstract: To address the power and computation limitations of the Internet-of-Things (IoT) devices, this letter investigates integrating wireless power transfer (WPT) and mobile edge computing (MEC) with intelligent reflective surfaces (IRS) in 6G networks. A robust autoencoder-driven deep learning model is proposed for channel estimation after RF chain selection. We first Covariance-Based Hybrid Beamforming for Spectrally Efficient Joint Radar-Communications Abstract: Joint radar-communications Date Added to IEEE Xplore: 23 October 2023 ISBN Information: Electronic ISBN: 978-1-5386-7462-8 Print on Demand(PoD) ISBN: 978-1 Hybrid analog and digital beamforming is a promising candidate for large-scale millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems because of its ability to significantly reduce the hardware complexity of the conventional fully digital beamforming schemes while being capable of approaching the performance of fully digital schemes. , beams with maximal Hybrid analog and digital beamforming (HBF) has been recognized as an attractive technique offering a tradeoff between hardware implementation limitation and system performance for future broadband millimeter wave (mmWave) communications. From the perspectives of spectral efficiency (SE), energy efficiency (EE), cost, and hardware complexity, HBF strikes a balanced performance tradeoff when compared with the fully analog and the This paper considers the design of beam squint-aware channel covariance-based hybrid beamformers for wideband cell-free millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems. With three RF chains, the performance is close to that of all digital statistical beamforming. In this letter, we study the sum rate maximization problem where an analog beamformer is selected from a discrete codebook. To further address the beam squint impact in the THz Hybrid analog/digital beamforming is a promising technique to realize millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems cost-effectively. Firstly, we evaluate the unique trade-off between the spectral efficiency and the hardware complexity of This paper considers the cloud radio access network (C-RAN) based millimeter-wave (mmWave) cell-free communications, where multiple remote radio heads (RRHs) are distributed to provide reliable communication links to users via analog beamforming and connected to centralized baseband unit (BBU) which carries out digital signal processing. According to Fairness-aware Location and Hybrid Beamforming Optimization in IRSs-aided Cell-free MIMO System Abstract: Intelligent reflecting surface/Reconfigurable intelligent surface (IRS/RIS) and cell-free networks have been proposed as revolutionary technologies for beyond fifth-generation (B5G) and sixth-generation (6G) communication, which may significantly improve the Hybrid beamforming (BF), which divides BF operation into radio frequency (RF) and baseband (BB) domains, will play a critical role in MIMO communication at millimeter-wave (mmW) frequencies. We This paper proposes an asymptotically optimal hybrid beamforming solution for large antenna arrays by exploiting the properties of the singular vectors of the channel matrix. Hybrid beamforming architecture provides excellent trade-off between the system performance and the complexity for the massive MIMO system. Moreover, the proposed work highlights the superiority of discrete-aware design over various existing baseline schemes, demonstrating the significant gains attainable A hybrid beamforming structure, which consists of digital precoding and analog beamforming, is a low-cost solution to millimeter wave (mmWave) large-scale antenna systems. It is shown that the elements of the channel matrix with Rayleigh fading follow a normal distribution when large antenna arrays are employed. Assuming perfect channel state information is acquired, we consider a single cell downlink multi-user massive MIMO system working in a generic channel A millimeter-wave beam multiplexing method using a hybrid beamforming is proposed. In order to significantly increase the communication rate and enhance the sensing accuracy with low cost and power consumption, Terahertz (THz) band communications and integrated sensing and communications (ISAC) are two main facets of the sixth generation wireless networks. Contrary to prior works that examine only Hybrid digital analog (HDA) beamforming has attracted considerable attention in practical implementation of millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) systems due to the low power consumption with respect to its fully digital baseband counterpart. Most of the prior work We study the multiuser detection in a millimeter-wave (mm-wave) wireless communication system using hybrid beamformers, where uplink transmissions are considered under limited scattering. Compared to the conventional parallel configuration, the serial In this paper, we proposed a low-complexity fractional programming (FP) based fairness-aware location and hybrid beamforming optimization method in IRSs-assisted cell-free MIMO systems. The secure HBF design problem for DFRC Hybrid beamforming is a promising technology to improve the energy efficiency of massive MIMO systems. To begin with, a Wiener filtering-based optimal hybrid TP/RC (WHB-U) design is proposed for unicast Our contributions include (1) a low complexity algorithm to jointly design the hybrid analog/digital beamformers for all three nodes to maximize the sum spectral efficiency of the access and backhaul links by canceling SI and maximizing received power; (2) derivation of all-digital beamforming and spectral efficiency upper bound for use in In this letter, we consider hybrid beamforming for unmanned aerial vehicle (UAV)-assisted communications with massive multiple-input multiple-output (MIMO). Especially, there has been widespread interest in development of hybrid beamforming (HB) technologies, in view of A near-field simultaneous wireless information and power transfer (SWIPT) network is investigated, where the hybrid beamforming architecture is employed at the base station to send the information beams for information transmission while charging energy harvesting users. Finally, the deep learning convolutional joint adaptive Hybrid beamforming technology is attractive for Terahertz (THz) communications to compensate the huge path loss, owing to the benefits of low hardware complexity and This paper proposes a beam-adaptive neural-network (NN) based digital predistortion (DPD) technique for full-connected hybrid beamforming (FC-HBF) multiple-input multiple-output Massive MIMO and hybrid beamforming are among the key physical layer technologies for the next generation wireless systems. In order to significantly increase the This paper considers the cloud radio access network (C-RAN) based millimeter-wave (mmWave) cell-free communications, where multiple remote radio heads (RRHs) are distributed to provide reliable communication links to users via analog beamforming and connected to centralized baseband unit (BBU) which carries out digital signal processing. Beamforming is an enabling technique for wireless communications over higher frequency band, e. The minimum rate of user (UE) was optimized by jointly optimizing the passive beamforming in IRSs, location of IRSs, and transmit beamforming at base stations (BSs). While most hybrid beamforming techniques consider a fully-connected structure with a large number of phase shifters (PSs), the partially-connected structure has drawn more It is well known that there is inherent radiation pattern distortion for the commercial base station antenna array, which usually needs three antenna sectors to cover the whole space. We In this paper, an efficient hybrid beamforming architecture combining analog and digital beamforming is proposed to reduce the number of radio frequency (RF) chains. Consequently, the hybrid beamforming, as a The integrated sensing and communications (ISAC) system, which integrates radar sensing and communication into the same hardware platform, has been considered as one of the new paradigms for the sixth-generation wireless networks. In UM-MIMO systems, A variety of hybrid analog-digital beamforming architectures have recently been proposed for massive multiple-input multiple-output (MIMO) systems to reduce energy consumption and the cost of implementation. The dual-function radar-communication (DFRC) system is an attractive solution for the spectrum-sharing problem. This paper studies the optimization of the analog and digital components of the hybrid beamforming solution for remote radio heads (RRHs) in a downlink cloud radio access network architecture.
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