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Improved Gauss-Seidel detector for large-scale MIMO systems

IET COMMUNICATIONS 2022年第4期16卷 291-302页

作者： Khoso, Imran A. Zhang, Xiaofei Shaikh, Abdul Hayee Sahito, Fahad Dayo, Zaheer Ahmed Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 211106 Peoples R China Beijing Univ Posts & Telecommun Coll Elect & Commun Engn Beijing Peoples R China

Large-scale multiple-input multiple-output (LS-MIMO) is one of the promising technologies beyond the 5G cellular system in which large antenna arrays at the base station (BS) improve the system capacity and energy-efficiency. However, the large number of antennas at the BS makes it challenging to design low-complexity high-performance data detectors. Thus, a number of iterative detection methods, such as Gauss-Seidel and conjugate gradient, are introduced to achieve complexity-performance tradeoff. However, their performance deteriorates for the systems with small BS-to-user antenna ratio or for the channels that exhibit correlation. This paper proposes a new efficient iterative detection algorithm based on the improved Gauss-Seidel iteration to address this problem. The proposed method performs one conjugate gradient iteration that enables better performance with less number of iterations. A new hybrid iteration is introduced and a low-complexity initial estimation is utilised to enhance detection accuracy while reducing the complexity further. In addition, a novel preconditioning technique is proposed to maintain the benefits of the proposed detector in correlated MIMO channels. It is mathematically demonstrate that the proposed detector achieves low approximated error. Theoretical analysis and numerical results show that the proposed algorithm provides a faster convergence rate compared to conventional methods.

关键词： conjugate gradient iteration detection accuracy iterative detection methods correlated MIMO channels hybrid iteration system capacity exhibit correlation signal detection complexity-performance tradeoff MIMO communication improved Gauss-Seidel iteration 5G cellular system BS-to-user antenna ratio base station efficient iterative detection algorithm performance deteriorates LS-MIMO large-scale MIMO systems low approximated error energy-efficiency multiple-input multiple-output cellular radio iterations 5G mobile communication improved Gauss-Seidel detector gradient methods low-complexity initial estimation low-complexity high-performance data detectors antenna arrays

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MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第6期71卷 6738-6743页

作者： Thien Huynh-The Toan-Van Nguyen Quoc-Viet Pham da Costa, Daniel Benevides Kim, Dong-Seong Kumoh Natl Inst Technol ICT Convergence Res Ctr Gumi 39177 Gyeongsangbuk D South Korea Kumoh Natl Inst Technol Dept IT Convergence Gumi 39177 Gyeongsangbuk D South Korea Utah State Univ Dept Elect & Comp Engn Logan UT 84321 USA Pusan Natl Univ Korean Southeast Ctr Ind Revolut Leader 4 Yangsan 50612 Gyeongsangnam D South Korea Technol Innovat Inst AI & Telecom Res Ctr Abu Dhabi 9639 U Arab Emirates Natl Yunlin Univ Sci & Technol Future Technol Res Ctr Touliu 64002 Yunlin Taiwan

Automatic modulation classification (AMC) plays a vital role in cognitive radio to improve spectrum utilization efficiency, however, most of the existing works have focused on single-carrier communications in single-input single-output systems. In this paper, we propose an efficient AMC method for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems with the assumption of unknown frequency-selective fading channels and signal-to-noise ratio. At the receiver, the complex envelope samples of a burst signal acquired by multiple antennas are decomposed into in-phase and quadrature samples, which are then structured into a high-dimensional data array. To learn the modulation patterns from received signals, we develop a deep network, namely three-dimensional MIMO-OFDM convolutional neural network (MONet). With cuboidal convolution filters, the proposed MONet allows the network to capture underlying features as intra- and inter-antenna correlations at multi-scale signal representations. Relying on simulations, MONet achieves the classification accuracy of over 95% at 0 dB SNR under various channel impairments and shows the robustness with different MIMO antenna configurations.

关键词： Modulation Receiving antennas OFDM Correlation Convolution Transmitting antennas Three-dimensional displays Automatic modulation classification 3D convolutional neural network orthogonal frequency-division multiplexing multiple-input multiple-output

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Secure Beamforming in DLA-Based CAP-MIMO

Secure Beamforming in DLA-Based CAP-MIMO

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41st IEEE Military Communications Conference (IEEE MILCOM) - Communications Supporting Military Operations in a Contested Environment

作者： Cheng, Zhenqiao Li, Nanxi Zhu, Jianchi She, Xiaoming Ouyang, Chongjun Chen, Peng China Telecom Beijing Res Inst 6G Res Ctr Beijing 102209 Peoples R China Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (纸本)9798350321814

This work proposes a novel secure beamforming design for discrete lens array (DLA)-based continuous aperture phased (CAP) multiple-input multiple-output wiretap channels. The base station exploits a switching network to connect a subset of its analog beams or DLA feed antennas to the available radio frequency chains. The switching network and transmit beamformers are jointly designed to maximize the weighted secrecy sum-rate for this setting. The principal design problem reduces to an NP-hard mixed-integer non-linear programming. We invoke the fractional programming technique and the penalty dual decomposition method to develop a tractable iterative algorithm that effectively approximates the optimal design. Our numerical investigations validate the effectiveness of the proposed algorithm and its superior performance compared with the benchmark.

关键词： Beam selection discrete lens array multiple-input multiple-output physical layer security

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Super-UWB MIMO antenna with high isolation

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MICROWAVE AND OPTICAL TECHNOLOGY LETTERS 2022年第11期64卷 2095-2102页

作者： Rahim, Sajjad Yang, Xue-Xia Elobied, Abubaker A. Xiao, Bo-Zhong Shanghai Univ Sch Commun & Informat Engn Dept Commun Engn Shanghai Peoples R China

A 1 x 2 multiple-input multiple-output (MIMO) antenna with super-ultra wideband (super-UWB) operation and high isolation is proposed. The antenna element has an eye-shape radiator fed by a tapered shape feedline on the top side and a defected ground structure etched on the bottom ground plane. A high isolation between two radiators is achieved by introducing a T-shape and two small arm shape stubs at the center of the ground plane. The proposed design was verified by a fabricated prototype and measurement. The measured results show that the MIMO antenna achieves impedance bandwidth of 3 similar to 45 GHz, isolation of 21 dB, and a peak gain of 10.1 dBi. The envelope correlation coefficient is less than 0.02. The overall size of the design is only 0.26 lambda 0L x 0.3 lambda 0L (lambda 0L is the free space wavelength at 3 GHz).

关键词： defected ground structure high isolation multiple-input multiple-output super-UWB ultra-wideband

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Performance Analysis of STBC-Based MIMO PLC System in Cyclostationary Noise Environment

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年第8期71卷 9026-9031页

作者： Dash, Soumya P. Bhuyan, Jashaswini Mallik, Ranjan K. Indian Inst Technol Bhubaneswar Sch Elect Sci Argul Khordha 752050 Odisha India Indian Inst Sci Dept Elect Commun Engn Bengaluru 560012 India Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

The paper proposes a multiple-input multiple-output-based power line communication (PLC) system subject to Rayleigh fading and corrupted by additive cyclostationary Gaussian noise. The proposed coherent receiver structure employs a block reception rule at the reception unit for detecting the space-time block-coded transmitted data symbols. A closed-form expression for the pairwise error probability (PEP) is derived using a characteristic function approach. Exact and asymptotic expressions for the average PEP are obtained for the special case of Alamouti code transmission which show that the PLC system under consideration offers full diversity. Numerical results depict the improvement in the system performance with increase in the number of receive diversity branches and the average signal-to-noise ratio per branch and decrease in the correlation value between the noise samples.

关键词： Receivers Symbols Indexes Codes MIMO communication Data communication Reliability Coherent detection cyclostationary noise multiple-input multiple-output pairwise error probability (PEP) powerline communication space-time block coding

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2D Generalized Optical Spatial Modulation for MIMO-OWC Systems

IEEE PHOTONICS JOURNAL

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IEEE PHOTONICS JOURNAL 2022年第4期14卷 1页

作者： Chen, Chen Zeng, Lin Zhong, Xin Fu, Shu Zeng, Zhihong Liu, Min Haas, Harald Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China Univ Edinburgh LiFi Res & Dev Ctr Inst Digital Commun Edinburgh EH9 3JL Midlothian Scotland Univ Strathclyde Technol Innovat Ctr Glasgow G1 1RD Lanark Scotland Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1RD Lanark Scotland

In this paper, a novel two-dimensional (2D) generalized optical spatial modulation (GOSM) scheme is proposed for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. By grouping multiple successive time slots as one time block, 2D GOSM mapping can be performed not only in the space domain but also in the time domain. Specifically, two types of 2D GOSM mapping schemes are designed, including 2D-1 and 2D-2 GOSM mappings. Moreover, to address the high complexity issue of optimal joint maximum-likelihood (ML) detection and the noise amplification and error propagation issues of zero-forcing-based ML (ZF-ML) detection, a deep neural network (DNN)-aided detection scheme is further designed for 2D GOSM systems. Simulation results demonstrate the superiority of the proposed 2D GOSM scheme with deep learning-aided detection for high-speed and low-complexity MIMO-OWC systems. More specifically, a remarkable 3.4-dB signal-to-noise ratio (SNR) gain can be achieved by 2D GOSM in comparison to the conventional one-dimensional (1D) GOSM, when applying the DNN-aided detection.

关键词： Light emitting diodes Symbols Modulation Optical transmitters Optical modulation Adaptive optics High-speed optical techniques Deep learning multiple-input multiple-output Optical wireless communication

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Modeling and Optimization of OAM-MIMO Communication Systems With Unaligned Antennas

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IEEE TRANSACTIONS ON COMMUNICATIONS 2022年第6期70卷 3682-3694页

作者： Xiong, Xusheng Lou, Hanqiong Ge, Xiaohu Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Peoples R China China Int Joint Res Ctr Green Commun & Networking Wuhan 430074 Peoples R China

The orbital angular momentum (OAM) wireless communication technique is emerging as one of potential techniques for the Sixth generation (6G) wireless communication system. The most advantage of OAM wireless communication technique is the natural orthogonality among different OAM states. However, one of the most disadvantages is the crosstalk among different OAM states which is widely caused by the atmospheric turbulence and the misalignment between the transmitting and receiving antennas. Considering the OAM-based multiple-input multiple-output (OAM-MIMO) transmission system with unaligned antennas, a new channel model is proposed for performance analysis. Moreover, the purity and crosstalk models of the OAM-MIMO transmission system with unaligned antennas are derived for the non-Kolmogorov turbulence. Furthermore, the error probability, bit error rate (BER) and capacity models are derived for OAM-MIMO transmission systems with unaligned antennas. To overcome the disadvantage caused by the unaligned antennas and non-Kolmogorov turbulence, a new optimization algorithm of OAM state interval is proposed to improve the capacity of the OAM-MIMO transmission system. Numerical results indicate that the capacity of OAM-MIMO transmission system is improved by the proposed optimization algorithm. Specifically, the capacity increment of the OAM-MIMO transmission system adopting the proposed optimization algorithm is up to 28.7% and 320.3% when the angle of deflection between the transmitting and receiving antennas is -24 dB and -5 dB, respectively.

关键词： Transmitting antennas Receiving antennas Wireless communication Optimization MIMO communication Atmospheric modeling Crosstalk Orbital angular momentum multiple-input multiple-output capacity error probability Laguerre-Gaussian

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Error Probability Analysis for Time-Varying Chaos Unitary Matrix-Based Differential MIMO System

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IEEE WIRELESS COMMUNICATIONS LETTERS 2022年第7期11卷 1399-1403页

作者： Zhai, Xiaodan Song, Guochao Xiao, Lixia Liu, Guanghua Ishikawa, Naoki Jiang, Tao Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Res Ctr 6G Mobile Commun Wuhan 430074 Peoples R China China Acad Informat & Commun Technol Mobile Commun Innovat Ctr Beijing 100191 Peoples R China Huazhong Univ Sci & Technol Sch Cyber Sci & Engn Wuhan 430074 Peoples R China Yokohama Natl Univ Fac Engn Yokohama Kanagawa 2408501 Japan

The time-varying (TV) chaos unitary matrix based differential multiple-input multiple-output (D-MIMO) system is capable of achieving beneficial performance gains without channel state information (CSI). To elaborate a little further, the chaos sequence is embedded into the data-carrying matrices by a unique time-varying matrix. By employing differential coding during two adjacent signal blocks, a non-coherent detector can be developed without CSI knowledge. However, its theoretical performance analysis becomes challenging due to its complex construction. To address this issue, the theoretical average bit error probability (ABEP) lower and upper bounds of the TV-D-MIMO system are analyzed using the moment generating function (MGF) over generalized fading channel. The experimental results are shown that the derived ABEP upper and lower bounds are tight with the simulation results, which is helpful for future performance evaluation.

关键词： Chaos Fading channels Time-varying systems MIMO communication Error probability Encoding Indexes multiple-input multiple-output time-varying chaos unitary matrix differential coding chaos sequence average bit error probability

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Statistically Robust Transceiver Design for Multi-RIS Assisted Multi-User MIMO Systems

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IEEE COMMUNICATIONS LETTERS 2022年第6期26卷 1428-1432页

作者： Xu, Kaizhe Gong, Shiqi Cui, Miao Zhang, Guangchi Ma, Shaodan Univ Macau State Key Lab Internet Things Smart City Macau Peoples R China Univ Macau Dept Elect & Comp Engn Macau Peoples R China Guangdong Univ Technol Sch Informat Engn Guangzhou 510006 Peoples R China

In this letter, we investigate the robust transceiver design for a downlink multi-user multiple-input multiple-output (MIMO) system assisted by multiple reconfigurable intelligent surfaces (RISs), where the base station (BS) and multiple users are all equipped with multiple antennas. Different from most previous RIS related works focusing on worst-case performance optimization, which may lead to overly conservative transceiver designs, we assume stochastic channel estimation errors for the considered system, and aim to minimize the average sum mean square error (MSE) of the considered system by jointly optimizing the transmit precoders, the receive equalizers, and the RIS reflecting coefficients. To address the non-convexity of the formulated problem induced by strongly coupled optimization variables, we develop a low-complexity alternating optimization (AO) algorithm to find a locally optimal solution, where the unique optimal solution to each subproblem can be derived in closed-form. Numerical simulations demonstrate the robustness and excellent average sum MSE performance of the proposed AO algorithm compared to the adopted benchmark scheme.

关键词： Channel estimation MIMO communication Transceivers Optimization MISO communication Correlation Robustness Reconfigurable intelligent surface multiple-input multiple-output channel statistics alternating optimization

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A Sparse-Coded multiplexing Approach for MIMO Over-the-Air Federated Learning

A Sparse-Coded Multiplexing Approach for MIMO Over-the-Air F...

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IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Zhong, Chenxi Yuan, Xiaojun Univ Elect Sci & Tech China Yangtze Delta Reg Inst Huzhou Peoples R China Univ Elect Sci & Tech China Natl Key Lab Wireless Commun Huzhou Peoples R China

ISBN: (纸本)9798350310900

The communication bottleneck of over-the-air federated learning (OA-FL) lies in uploading the gradients of local learning models. In this paper, we study the reduction of the communication overhead in the gradients uploading by using the multiple-input multiple-output (MIMO) technique. We propose a novel sparse-coded multiplexing (SCoM) approach that employs sparse-coding compression and MIMO multiplexing to balance the communication overhead and the learning performance of the FL model. We derive an upper bound on the learning performance loss of the SCoM-based MIMO OA-FL scheme by quantitatively characterizing the gradient aggregation error. We show that the optimal number of multiplexed data streams to minimize the upper bound is given by the minimum of the numbers of transmit and receive antennas. We then formulate an optimization problem of designing precoding and post-processing matrices to minimize the gradient aggregation error, and develop an efficient algorithm to solve the problem. The numerical results indicate the effectiveness of the proposed SCoM approach.

关键词： Over-the-air federated learning multiple-input multiple-output multiplexing turbo compressed sensing

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