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A near maximum likelihood performance modified firefly algorithm for large MIMO detection

SWARM AND EVOLUTIONARY COMPUTATION 2019年 44卷 828-839页

作者： Datta, Arijit Bhatia, Vimal Indian Inst Technol Indore Discipline Elect Engn Indore Madhya Pradesh India Indian Inst Technol Indore Signals & Software Grp Discipline Elect Engn Indore Madhya Pradesh India

To meet the ever-growing demand for high data rates, employing a large number of antennas at both the transmitter and receiver is a necessity for future advanced wireless systems. multiple-input multiple-output (MIMO) systems, which are equipped with multiple antennas, provide high data rates with high spectral efficiency. However, the design of an efficient, robust and non-erroneous detection algorithm is a huge challenge in large MIMO systems. In this paper, a stochastic bio-inspired meta-heuristic algorithm is proposed for large MIMO detection. The proposed algorithm is motivated by the bioluminescence of fireflies and uses a probabilistic metric to update solutions in the search space. Robustness of the proposed algorithm is verified under channel estimation errors at the receiver. Simulation results reveal that the proposed algorithm outperforms unordered congestion control ant colony optimization, congestion control ant colony optimization, standard particle swarm optimization, binary particle swarm optimization, memetic particle swarm optimization, firefly algorithm, firefly algorithm with neighborhood attraction, minimum mean square error and successive interference cancellation based MIMO detection techniques in terms of bit error rate (BER) performance. The proposed algorithm achieves near maximum likelihood BER performance with lower computational complexity. This makes the proposed algorithm an appropriate candidate for reliable detection in future large MIMO systems.

关键词： Firefly algorithm multiple-input multiple-output Minimum mean square error Channel estimation error Maximum likelihood Successive interference cancellation

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LR-aided sphere decoding of generalized spatial modulation signals

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2019年 109卷 8-16页

作者： Daryanavardan, Negar Derakhtian, Mostafa Neinavaie, Mohammad Gazor, Saeed Shiraz Univ Elect & Comp Engn Shiraz Iran Queens Univ Kingston ON Canada

This paper presents a new low complexity sphere decoding (SD) for the generalized spatial modulation (GSM). We introduce a pre-processing stage using the lattice reduction (LR) aided minimum mean squared error (MMSE) equalization in the GSM systems. This stage speeds up the search in the decoding tree and provides a lattice dependent (LD) initial choice of the radius. Moreover, we derive a lattice independent (LI) initial radius that guarantees the optimal performance at a high signal-to-noise ratio (SNR). We also propose an iterative method to increase the radius in order to achieve the maximum likelihood (ML) performance at all SNRs. We show that the proposed algorithm achieves the ML performance while requiring prominently less computational complexity (CC) than an exhaustive search. In addition, we analyze the CC of the resulting algorithm at high SNRs and we derive an analytical expression for the complexity. The simulation results demonstrate a noticeable decrease in the CC of the proposed sphere decoding algorithm in comparison with its counterparts, particularly at low SNRs. (C) 2019 Published by Elsevier GmbH.

关键词： Computational complexity Sphere decoding multiple-input multiple-output Generalized spatial modulation

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Low-complexity adaptive tracking control of MIMO nonlinear systems with unknown control directions

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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2019年第7期29卷 2203-2222页

作者： Zhang, Jin-Xi Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China

This paper is concerned with the tracking control problem for a class of multiple-input-multiple-output systems with unmatched disturbances and the unknown additive and multiplicative nonlinearities. The objective is to provide a low-complexity control solution in the sense that (i) approximating structures are not involved, despite unknown nonlinearities and (ii) iterative calculations of command derivatives are avoided in the backstepping design. A robust adaptive control strategy is proposed to fulfill the task. In the control design, a new-type adaptive law is first developed to update Nussbaum gains to handle control direction uncertainties, while ensuring Nussbaum gains bounded. Then, the potential robustness of error constraint techniques is exploited to counteract the effects of unknown nonlinearities and disturbances and achieve predefined transient and steady-state tracking performance. Finally, simulation results are given to illustrate the above theoretical findings.

关键词： adaptive control low-complexity multiple-input multiple-output nonlinear systems unknown control directions

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Performance of adaptive subcarrier modulated MIMO wireless optical communications in Malaga turbulence

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OPTICS COMMUNICATIONS 2019年 435卷 265-270页

作者： Chen, Dan Huang, Genquan Liu, Gaohui Lei, Yu Xian Univ Technol Sch Automat & Informat Xian 710048 Shaanxi Peoples R China Xian Elect Engn Res Inst Xian 710100 Shaanxi Peoples R China

Space diversity of multiple-input multiple-output (MIMO) system combined with the adaptive subcarrier modulation technique can effectively reduce the atmospheric channel fading effects. Malaga turbulent probability density function is obtained based on the MeijerG function. The asymptotic expression of average bit error rate in non-adaptive and adaptive modulated MIMO wireless optical systems are derived respectively, and M-ary phase shift keying (MPSK) and M-ary differential phase shift keying (MDPSK) modulation are used in these two kinds of systems. Under moderate turbulence conditions, error performances are analyzed with numerical simulations between these two systems. The results show that the average bit error performance in the adaptive modulated system can be significantly better than the non-adaptive modulated system. But under the same conditions of modulation order and target bit error rate, error performance of non-adaptive modulation is easier to be affected by transmit and receive aperture number than adaptive modulation in MIMO system.

关键词： Optical communication Malaga turbulence Adaptive modulation multiple-input multiple-output Error performance

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Treating Content Delivery in Multi-Antenna Coded Caching as General Message Sets Transmission: A DoF Region Perspective

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第6期18卷 3129-3141页

作者： Cao, Youlong Tao, Meixia Shanghai Jiao Tong Univ Shanghai Inst Adv Commun & Data Sci Dept Elect Engn Shanghai 200240 Peoples R China

Coded caching can create coded multicasting and, thus, significantly accelerates content delivery in broadcast channels with receiver caches. While the original delivery scheme in coded caching multicasts each coded message sequentially, it is not optimal for multiple-input multiple-output (MIMO) broadcast channels. This paper aims to investigate the full spatial multiplexing gain in multi-antenna coded caching by concurrently transmitting all coded messages. In specific, we propose to treat the content delivery as the transmission problem with general message sets where all possible messages are present, each with different length and intended for different user set. We first obtain inner and outer bounds of the degrees of freedom (DoF) region of a K-user (M, N) broadcast channel with general message sets, with M and N being the number of transmit and receive antennas, respectively. Then for any given set of coded messages, we find its minimum normalized delivery time (NDT) by searching the optimal DoF tuple in the DoF regions. The obtained minimum NDT is optimal at antenna configuration M/N is an element of (0, 1] boolean OR [ K, infinity) and is within a multiplicative gap of M/N to optimum at M/N is an element of (1, K). Our NDT results can be evaluated for any user demand with both centralized and decentralized cache placements.

关键词： Caching multiple-input multiple-output degrees of freedom region normalized delivery time general message sets coded multicasting

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Signal Shaping for Generalized Spatial Modulation and Generalized Quadrature Spatial Modulation

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第8期18卷 4047-4059页

作者： Guo, Shuaishuai Zhang, Haixia Zhang, Peng Dang, Shuping Liang, Cong Alouini, Mohamed-Slim King Abdullah Univ Sci & Technol Comp Elect & Math Sci & Engn Div Thuwal 23955 Saudi Arabia Shandong Univ Sch Control Sci & Engn Shandong Prov Key Lab Wireless Commun Technol Jinan 250061 Shandong Peoples R China Weifang Univ Sch Comp Engn Weifang 261061 Peoples R China

This paper investigates the generic signal shaping methods for the multiple-data-stream generalized spatial modulation (GenSM) and the generalized quadrature spatial modulation (GenQSM). Three cases with different channel state information at the transmitter (CSIT) are considered, including no CSIT, statistical CSIT, and perfect CSIT. A unified optimization problem is formulated to find the optimal transmit vector set under size, power, and sparsity constraints. We propose an optimization-based signal shaping (OBSS) approach by solving the formulated problem directly and a codebook-based signal shaping (CBSS) approach by finding the sub-optimal solutions in discrete space. In the OBSS approach, we reformulate the original problem to optimize the signal constellations used for each transmit antenna combination (TAC). Both the size and the entry of all signal constellations are optimized. Specifically, we suggest the use of a recursive design for the size optimization. The entry optimization is formulated as a non-convex large-scale quadratically constrained quadratic programming (QCQP) problem and can be solved by the existing optimization techniques with rather high complexity. To reduce the complexity, we propose the CBSS approach using a codebook generated by the quadrature amplitude modulation (QAM) symbols and a low-complexity selection algorithm to choose the optimal transmit vector set. The simulation results show that the OBSS approach exhibits the optimal performance in comparison with existing benchmarks. However, the OBSS approach is impractical for large-size signal shaping and adaptive signal shaping with instantaneous CSIT due to the demand of high computational complexity. As a low-complexity approach, the CBSS shows comparable performance and can be easily implemented in large-size systems.

关键词： multiple-input multiple-output generalized spatial modulation generalized quadrature spatial modulation signal shaping preceding maximizing the minimum euclidean distance sparsity constraint

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Precoder Design for MIMO Visible Light Communications With Decision-Feedback Receivers

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IEEE PHOTONICS TECHNOLOGY LETTERS 2019年第7期31卷 521-524页

作者： Zhai, Yanrong Tong, Jun Xi, Jiangtao Hangzhou Dianzi Univ Sch Commun Engn Hangzhou 310018 Zhejiang Peoples R China Univ Wollongong Sch Elect Comp & Telecommun Wollongong NSW 2522 Australia

Decision-feedback equalization is considered for point-to-point multiple-input multiple-output visible light communication systems. Based on the geometric mean decomposition (GMD) and uniform channel decomposition (UCD), two precoders under the signal non-negativity and total average power constraints are designed for such systems. The GMD scheme can decompose the channel into multiple parallel sub-channels with equal gains. The UCD scheme further improves performance through power allocation. Simulation results of bit-error-rate and capacity are presented. It is shown that the proposed schemes can outperform conventional linear designs and the UCD scheme performs better than the GMD scheme.

关键词： Visible light communication multiple-input multiple-output uniform channel decomposition geometric mean decomposition decision feedback equalization

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Deep Learning-Based Sphere Decoding

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第9期18卷 4368-4378页

作者： Mohammadkarimi, Mostafa Mehrabi, Mehrtash Ardakani, Masoud Jing, Yindi Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2R3 Canada

In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the decoding hypersphere is learned by a deep neural network (DNN). The performance achieved by the proposed algorithm is very close to the optimal maximum likelihood decoding (MLD) over a wide range of signal-to-noise ratios (SNRs), while the computational complexity, compared to existing sphere decoding variants, is significantly reduced. This improvement is attributed to the DNN's ability of intelligently learning the radius of the hypersphere used in decoding. The expected complexity of the proposed DL-based algorithm is analytically derived and compared with existing ones. It is shown that the number of lattice points inside the decoding hypersphere drastically reduces in the DL-based algorithm in both the average and worst-case senses. The effectiveness of the proposed algorithm is shown through the simulation for high-dimensional multiple-input multiple-output (MIMO) systems, using high-order modulations.

关键词： Sphere decoding integer least-squares problem maximum likelihood decoding deep learning deep neural network multiple-input multiple-output complexity analysis

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VLSI Design of a High Throughput Hybrid Precoding Processor for Wireless MIMO Systems

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IEEE ACCESS 2019年 7卷 85925-85936页

作者： Chen, Kuan-Ting Hwang, Yin-Tsung Liao, Yen-Chang Natl Chung Hsing Univ Dept Elect Engn Taichung 40227 Taiwan Ilitek Corp Div Digital IC Design Hsinchu 30288 Taiwan

Hybrid precoding, a combination of radio frequency (RF) beamforming and digital precoding, has been investigated intensively these days for millimeter wave (mmWave) communication systems employing large antenna arrays. The key problem is constructing beamforming and precoding matrices for the RF beamformer and the digital baseband, respectively, based on the channel matrix decomposition result. This paper presents a new computing algorithm to achieve the matrix decomposition efficiently without compromising the performance. The algorithm computes beamforming (steering) and precoding matrices in separate phases to alleviate the computing overheads of iterative matrix updates. This measure also creates the computing parallelism to facilitate efficient hardware implementation. A novel computing scheme based on QR decomposition and blockwise inversion techniques is also developed to tackle the most critical least square solution module. This leads to a computing complexity reduction by a factor of 0.3 N when compared with the popular orthogonal matching pursuit (OMP) scheme, where N is the antenna array size. The simulation results indicate the percentage of choosing correct steering vectors is 90%, which is as good as the OMP scheme can achieve. A hardware accelerator design of the proposed scheme is developed by using a TSMC 40 nm CLN40G technology. The design, with a gate count of 419.3 k, can operate up to 333 MHz with a power consumption of 267.1 mW. This suggests a throughput rate of processing 10.4 M channel matrices per second. The core size is merely 0 58mm(2) while the entire die size including I/O pads is 2.26mm(2).

关键词： multiple-input multiple-output hybrid precoding array beamforming millimeter wave orthogonal matching pursuit QR-decomposition hardware accelerator

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Secure Transmission for Interference Networks: User Selection and Transceiver Design

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IEEE SYSTEMS JOURNAL 2019年第3期13卷 2839-2850页

作者： Zhao, Nan Cao, Qiuyi Gui, Guan Cao, Yang Zhang, Shun Chen, Yunfei Sari, Hikmet Dalian Univ Technol Sch Informat & Commun Engn Dalian 116023 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Shaanxi Peoples R China Nanjing Univ Posts & Telecommun Nanjing 210028 Jiangsu Peoples R China Univ Warwick Sch Engn Coventry CV4 7AL W Midlands England Sequans Commun F-92700 Colombes France

Interference is usually regarded as a detrimental factor that degrades the performance of a wireless network. However, when it is used properly, the security of transmission can be effectively improved. In this paper, user selection and transceiver design are proposed to guarantee the secure transmission in a multiple-input multiple-output interference network with an eavesdropper. First, user selection is performed to select the most suitable user to transmit confidential information according to the topology and path loss in each time slot among all users. Then, based on user selection, the transceivers of the users are jointly designed to maximize the secrecy rate of the selected user while guaranteeing a minimum transmission rate for other users. Due to the nonconvexity of the optimization problem, it is transformed into a convex second-order cone programming with the help of successive approximations. An alternate iteration algorithm is proposed to obtain the optimal solution. The fairness of the user selection is considered, and a modified scheme is proposed to share the opportunity of secure transmission among users. Finally, simulation results are presented to show the effectiveness and efficiency of the proposed schemes.

关键词： Interference networks multiple-input multiple-output physical layer security secrecy rate transceiver design user selection

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