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18th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC)

作者： Ortega, Alvaro Javier Sampaio-Neto, Raimundo David, Rodrigo Pereira Sidia Manaus Brazil Pontificia Univ Catolica Rio de Janeiro Rio de Janeiro Brazil INMETRO Rio De Janeiro Brazil

ISBN: (纸本)9781665467490

In this paper, a hybrid precoder and a hybrid combiner are proposed. The analog beamformer of the hybrid precoder aims at the system sum-rate maximization. In contrast, the baseband beamformer of the hybrid precoder applies a low-dimensional baseband precoder to mitigate the inter-user/symbol interference and runs the proposed power allocation algorithm. The design of the power allocation matrix allocates the available transmit power such that the instantaneous bit error rate (BER) is reduced. On the other hand, the proposed hybrid combiner works cooperatively with the analog beamformer of the hybrid precoder to further increase the sum rate. Extensive simulation results evidence the positive effects of the proposed method in terms of BER and sum-rate performance compared to other processing techniques from the literature.

关键词： hybrid precoder hybrid combiner millimeter-wave massive MU-MIMO power allocation

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Green Joint Radar-Communications: RF Selection with Low Resolution DACs and hybrid Precoding

Green Joint Radar-Communications: RF Selection with Low Reso...

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IEEE International Conference on Communications (ICC)

作者： Kaushikl, Aryan Vlachos, Evangelos Masouros, Christos Tsinos, Christos Thompson, John Univ Sussex Sch Engn & Informat Brighton E Sussex England Athena Res & Innovat Ctr Ind Syst Inst Athena Greece UCL Dept Elect & Elect Engn London England Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust Luxembourg Luxembourg Univ Edinburgh Inst Digital Commun Edinburgh Midlothian Scotland

ISBN: (数字)9781538683477

ISBN: (纸本)9781538683477

This paper considers a multiple-input multiple-output (MIMO) joint radar-communication (JRC) transmission with hybrid precoding and low resolution digital to analog converters (DACs). An energy efficient radio frequency (RF) chain and DAC bit selection approach is presented for a sub-arrayed hybrid MIMO JRC system. We introduce a weighting formulation to represent the combined radar-communications information rate. The presented selection mechanism is incorporated with fractional programming to solve an energy efficiency maximization problem for JRC which selects the optimal number of RF chains and DAC bit resolution. Subsequently, a weighted minimization problem to compute the precoding matrices is formulated, which is solved using an alternating minimization approach. The numerical results show the effectiveness of the proposed method in terms of high energy efficiency whilst maintaining good rate and desirable radar beampattern performance.

关键词： Joint radar-communications energy efficient RF chain optimization low resolution DACs hybrid precoder

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Recast Subspace Pursuit-based Channel Estimation for hybrid Beamforming NarrowBand Millimeter-Wave Massive MIMO Systems 95

Recast Subspace Pursuit-based Channel Estimation for Hybrid ...

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IEEE 95th Vehicular Technology Conference: (VTC-Spring)

作者： Oyerinde, Olutayo Oyeyemi Univ Witwatersrand Sch Elect & Informat Engn Johannesburg 2050 South Africa

ISBN: (数字)9781665482431

ISBN: (纸本)9781665482431

Millimeter wave (mmWave) wireless communication systems with hybrid beamforming require reliable estimation of channel state information to perform optimally. Though the combined high-speed analog-to-digital converters (ADCs) and hybrid precoder/combiner architecture of this system ameliorate the problem of high-power consumption, they make channel estimation to become cumbersome. The paper proposed a channel estimation scheme that is based on a conventional subspace pursuit algorithm. The proposed estimator is named Recast Subspace Pursuit (ReSP)-based channel estimator. Besides taking advantage of the inherent sparsity in the mmWave Massive MIMO channel, the ReSP-based estimator also exploits the a-priori knowledge of channel matrix support-set as side information for the estimation procedure. Simulation results confirm that the proposed ReSP-based channel estimator can exhibit improved performance than some traditional and earlier proposed channel estimation schemes.

关键词： millimeter wave hybrid precoder channel estimation narrowband channel SP

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Deep Learning Based Low-Resolution hybrid Precoding Design for mmWave MISO Systems

Deep Learning Based Low-Resolution Hybrid Precoding Design f...

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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Bo, Zhu Liu, Rang Guo, Yiqun Li, Ming Liu, Qian Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Liaoning Peoples R China Dalian Univ Technol Sch Comp Sci & Technol Dalian 116024 Liaoning Peoples R China

ISBN: (纸本)9781728173078

Millimeter wave (mmWave) communication has been considered as a key enabling technology for next generation cellular systems. In order to combat severe path-loss of mmWave channel, hardware-efficient hybrid beamforming schemes are widely considered in mmWave massive multi-input multi-output (MIMO) systems. However, the high computational complexity for obtaining accurate channel estimation and designing hybrid beamformer is a major challenge, which hurdles the deployment of mmWave massive MIMO systems. In this paper, we consider a multi-user mmWave communication system with low-resolution phase shifters (PSs) and aim to design a novel deep learning based low-complexity and robust hybrid precoding design algorithm. A convolutional neural network (CNN) is utilized to predict/design analog precoders with roughly estimated channels using a small amount of pilot signals. Analog precoder can be efficiently predicted from the imperfect channel convolutional neural network (IC-CNN). Once the analog precoder is obtained, the digital precoder is designed by minimum mean square error method. Simulation results demonstrate that the proposed algorithm is efficient and can achieve satisfactory performance with a significant reduction in computing time.

关键词： Millimeter wave (mmWave) communications hybrid precoder deep learning imperfect channel state information low-resolution phase shifters

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Adjusted Orthogonal Matching Pursuit based Channel Estimation for hybrid Beamforming Millimeter Wave Wireless Communication Systems 15

Adjusted Orthogonal Matching Pursuit based Channel Estimatio...

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15th International Conference on Signal Processing and Communication Systems (ICSPCS)

作者： Oyerinde, Olutayo Oyeyemi Flizikowski, Adam Marciniak, Tomasz Univ Witwatersrand Sch Elect & Informat Engn ZA-2050 Johannesburg South Africa UTP Univ Sci & Technol Fac Telecommun Comp Sci & Elect Engn PL-85796 Bydgoszcz Poland

ISBN: (纸本)9781665436991

The paper considers Millimeter Wave Wireless Communication systems based on hybrid precoder-combiner structure with low-bit resolution analog-to-digital converters (ADCs). Though the hybrid precoder-combiner structure and low-bit resolution ADCs address the problem of huge power consumption in the system, channel estimation for the system is cumbersome. In this paper, a new channel estimation scheme based on adjusted Orthogonal Matching Pursuit (OMP) algorithm is proposed. The estimator named "AdOMP-based channel estimator" exploited the side information available at the receiver of the system to enhance the channel estimation procedure. We show through computer simulation that the proposed AdOMP-based channel estimator exhibit better performance, in the wideband wireless channel, in comparison with other three estimators i.) as the number of transmit antennas increases, ii.) as the number of radio frequency (RF) chains increases, and iii.) across the number of frames employed.

关键词： millimeter wave hybrid precoder channel estimation wideband channel OMP

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Energy-Efficient hybrid Precoding for Millimeter Wave MIMO Systems 10

Energy-Efficient Hybrid Precoding for Millimeter Wave MIMO S...

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10th International Conference on Communications and Networking in China (CHINACOM)

作者： Ma, Chunhua Pan, Cunhua Pan, Yijin Han, Xiaoqing Chen, Ming Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)9781479987955

In this paper, we investigate energy-efficient hybrid precoding for the Millimeter Wave (mmWave) multi-input multi-output (MIMO) systems. The considered multivariate optimization problem is hard to tackle because of the non-convex objective function and constraints. To solve the intractable problem, we propose a two-step optimization algorithm to obtain a near-optimal solution. The original multivariate optimization problem is first transformed into an equivalent univariate optimization problem whose solution is a optimal single precoder. Then, by minimizing the Euclidean distance between the optimal single precoder and the hybrid precoder, a near-optimal hybrid precoder are obtained via orthogonal matching pursuit (OMP) based algorithm. Numerical results validate that the energy efficiency (EE) performance of the proposed hybrid precoding algorithm is approximating to the optimality, and it obviously outperforms the spectral efficient hybrid precoding algorithm at the middle-high transmit power. In addition, we show the impacts of different system parameters on the energy-efficient performance.

关键词： Energy efficient hybrid precoder Millimeter Wave OMP-based algorithm

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Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment

Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave ...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Feng, Ming Xu, Hao Univ Nevada Dept Elect & Biomed Engn Reno NV 89557 USA

ISBN: (纸本)9781538692233

This paper investigates how to maximize the practical communication quality of multi-user millimeter-wave (mmWave) MIMO systems with uncertain environment through effectively using the mobility from multi-robots as dynamic relays and adopting machine learning techniques. mmWave MIMO has been considered as a promising wireless communication technology due to the high frequency usage efficiency from beamforming. However, the uncertain environment could seriously affect the effectiveness and practicality of beamforming since wireless channels may have a more complicated structure, and the coordination among multiple nodes could be more difficult. For instance, the uncertain distribution of mobile users could significantly affect the performance of wireless channels, and then significantly degrade practical communication quality. Therefore, this paper presents a novel Multi-Robot Enhanced Intelligent Multi-User Millimeter-Wave MIMO (MREI-MU-MIMO) system that adopt both dynamic codebook based beam training protocol and online reinforcement learning to supervise the mobility of multi-robot-relay as well as handle the serious effects form the uncertain environment. Firstly, a novel dynamic codebook development is presented that cannot only lower the complexity of existing beamforming codebooks and also handle the complicated channel structure under uncertainty during multi-user beam training. Then, a decentralized Deep Q-Network (DQN) reinforcement learning algorithm has been developed to intelligently manage multi-robot mobility and further effectively assign the optimal MIMO to handle the uncertainty from environment. The effectiveness of the proposed design has been demonstrated through real-time simulation and experiment.

关键词： Reinforcement learning DQN hybrid precoder Dynamic Codebook Millimeter-Wave MIMO

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hybrid Beamforming for Minimum Outage via Stochastic Approximation

Hybrid Beamforming for Minimum Outage via Stochastic Approxi...

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2021 CIE International Conference on Radar, Radar 2021

作者： Shi, Yunmei Huang, Yi Tongji University Dept. of Electronic and Information Engineering Shanghai China

ISBN: (纸本)9781665498142

We consider an outage based approach for hybrid beamforming where the channels are modeled as random vectors drawn from an unknown distribution. Our formulation can be applied to both point-to-point transmit beamforming as well as single-group multicasting scenarios. In this paper, the way to design the hybrid precoder is first to design a fully digital (FD) precoder dropping the hybrid structure constraints, and then, with the desired FD precoder, to design the hybrid solutions employing a delicate mapping strategy. Numerical results are included to illustrate the effective performance of our methods. © 2021 IEEE.

关键词： fully digital hybrid precoder outage probability transmit beamforming

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Random SBT Precoding for Angle Estimation of mmWave Massive MIMO Systems Using Sparse Arrays Spacing

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IEEE ACCESS 2020年 8卷 163380-163393页

作者： Lin, Yuan-Pei Yang, Ting-Ming Natl Chiao Tung Univ Hsinchu 30010 Taiwan

In this article, we consider the estimation of angle of arrival (AoA) and angle of departure (AoD) for mmWave MIMO channels. For mmWave systems, there is typically a large number of antennas but limited radio frequency (RF) chains. The RF chain limitation indirectly restricts the effective number of antennas or the effective array size. In radar applications, it is known that a larger array size leads to more accurate AoA estimation or more resolvable paths. It is also known that with sparse arrays, which places antennas in a nonuniform sparse manner, an enlarged virtual array can be constructed when the sources are uncorrelated. We show that the idea of sparse arrays can also be used in mmWave systems to have augmented array sizes. The main difficulty in applying sparse arrays to mmWave MIMO channels lies in the fact the signals of different paths can be correlated in mmWave system, but uncorrelatedness is necessary for applying sparse array results. We show that the paths can be decorrelated by employing random precoders and combiners that are submatrices of banded Toeplitz matrices (SBT). When the precoder and combiner are SBT that are designed according to the antenna spacing of a sparse array, we can construct enlarged virtual transmit and receive arrays. With enlarged virtual arrays, accurate estimates can be obtained, as will be demonstrated by simulation examples.

关键词： Estimation Radio frequency Antenna arrays Training Channel estimation Covariance matrices Angle estimation hybrid precoder massive MIMO mmWave submatrix of a banded Toeplitz sparse arrays

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Compressive sensing-based channel estimation schemes for wideband millimeter wave wireless communication systems

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COMPUTERS & ELECTRICAL ENGINEERING 2022年第PartA期104卷

作者： Oyerinde, Olutayo O. Flizikowski, Adam Marciniak, Tomasz Univ Witwatersrand Sch Elect & Informat Engn ZA-2020 Johannesburg South Africa Bydgoszcz Univ Sci & Technol Fac Telecommun Comp Sci & Elect Engn PL-85796 Bydgoszcz Poland

The introduction of both hybrid precoder-combiner structure and low-bit resolution analog-to -digital converters (ADCs) makes channel estimation in millimeter (mm) Wave Massive MIMO systems to be challenging. In the literature, several channel estimation schemes presented focus on narrowband channels. However, few works are found to be presented for the case of wideband channels for this system. In this paper, two new channel estimation techniques are proposed with the first scheme based on the Projection-based Orthogonal Matching Pursuit (POMP) algorithm. The second estimation scheme is based on the Predictive Orthogonal Least Squares (POLS) al-gorithm. In all the simulation results, POLS shows the best performance but with the highest computational complexity cost, with POMB exhibiting the next best performance with a lower computational complexity cost. In terms of compromise between performance and computational complexity cost, the proposed POLS-based channel estimator is the best estimator for the wide -band mmWave Massive MIMO systems.

关键词： Wideband channel mmWave Massive MIMO Compressive sensing Channel estimation hybrid precoder Orthogonal projection

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