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Coding Gain Distance Exact Estimation for Space-Time Trellis Coded Modulation

CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2013年第2期32卷 919-929页

作者： Vladeanu, Calin Univ Politehn Bucuresti Bucharest 061071 Romania

Space-time (ST) trellis coded modulation (TCM) represents a high spectral efficiency technique for multiple antennas transmissions over fading channels. In literature, it was shown that ST-TCM technique offers full diversity when the rank criterion is met. However, "brute force" methods were used in almost all previous work to search for full diversity ST-TCM codes. In the present paper, we aim to derive an exact expression for the minimum coding gain distance (CGD) in the case of full diversity ST-TCM codes with minimum memory size, for two transmit antennas. Therefore, we transpose the ST-TCM design rules into operations over the set of modulo-M integer numbers (Z (M) ), between the current trellis state and encoder's input information symbol value, in order to derive the transmitted M-levels phase shift keying modulated (M-PSK) output values. In this context, a new design method is introduced to control the code's minimum CGD value of full diversity ST-TCM schemes.

关键词： multiple-input multiple-output Space-time trellis coded modulation Transmit diversity Coding gain distance

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Preliminary results of a new MIMO plasma shape controller for EAST

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FUSION ENGINEERING AND DESIGN 2018年 128卷 38-46页

作者： Guo, Y. Xiao, B. J. Wang, Y. H. Liu, L. Huang, Y. Yuan, Q. P. Pironti, A. Albanese, R. Ambrosino, R. Yang, F. Qiu, Q. L. Calabro, G. Crisanti, F. Chinese Acad Sci Inst Plasma Phys Hefei 230031 Anhui Peoples R China Univ Sci & Technol China Sch Nucl Sci & Technol Hefei 230026 Anhui Peoples R China Univ Sci & Technol China Dept Modern Phys Hefei 230026 Anhui Peoples R China Univ Cassino Univ Napoli Federico 2 CREATE Via Claudio 19 I-80125 Naples Italy Univ Napoli Parthenope Via Claudio 19 I-80125 Naples Italy Anhui Med Univ Dept Comp Sci Hefei Anhui Peoples R China ENEA EUROfus Via E Fermi 45 I-00044 Rome Italy

The efficient and safe operation of large fusion devices relies on plasma configuration inside the vacuum chamber. Due to EAST PF coils distribution, it is difficult to physical decouple plasma control parameters and poloidal field (PF) coils current. In this paper, we present a MIMO decoupling controller aimed to overcome the intrinsic limitations of simpler SISO controller, this new controller has been validated by means of the Tokamak Simulation Code (TSC) and implemented on the EAST tokamak. Preliminary results show the potential of this approach for the EAST plasma shape control systems.

关键词： multiple-input multiple-output Plasma shape control EAST TSC

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Analytical performance of MIMO-SVD systems in Ricean fading channels with channel estimation error and feedback delay

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2008年第4期7卷 1315-1325页

作者： Au, Edward K. S. Jin, Shi McKay, Matthew R. Mow, Wai Ho Gao, Xiqi Collings, Iain B. Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China SE Univ Natl Mobile Commun Res Lab Nanjing Peoples R China UCL London WC1E 6BT England Commonwealth Sci & Ind Res Org Informat & Commun Technol Ctr Epping NSW 1710 Australia

This paper analyzes bit error rate (BER) and outage probability of singular value decomposition-based multiple-input multiple-output systems with channel estimation error and feedback delay over uncorrelated Ricean fading channels. By utilizing marginal unordered and ordered eigenvalue distributions of complex noncentral Wishart. matrices, we derive exact closed-form expressions on the average system performance and high signal-to-interference-plus-noise ratio (SINR) approximations on the individual eigen-subehannels, respectively, under the assumption of equal power allocation. Our expressions apply for various modulation formats and arbitrary numbers of transmit and receive antennas. Our results show that in low-to-moderate SINR regimes, both the BER and the outage probability increase with channel estimation error, feedback delay and the Ricean K-factor at a polynomial rate that is inversely proportional to the difference between the numbers of transmit and receive antennas. We also show that, with channel estimation, error and feedback delay, the diversity orders of the BER and outage probability are zero and an irreducible error floor exists at high SINR.

关键词： channel estimation error feedback delay multiple-input multiple-output singular value decomposition

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Reconfigurable Intelligent Surface-Assisted Generalized Spatial Modulation With Phase Offset: Efficient Designs for Single-RF MIMO Systems

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第10期73卷 15239-15254页

作者： Zhang, Lechen Xiao, Yue Lei, Xia Ma, Teng Xiang, Wei Univ Elect Sci & Technol China Natl Key Lab Wireless Commun Chengdu 611731 Peoples R China Sci & Technol Commun Networks Lab Shijiazhuang 050021 Peoples R China La Trobe Univ Sch Comp Engn & Math Melbourne Vic 3086 Australia

In this contribution, a practical reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) system is presented to improve the performance and spectral efficiency (SE) of state-of-the-art RIS-assisted spatial modulation systems by introducing phase offsets on the RIS and transmitter. As opposed to conventional RIS-assisted spatial modulation schemes, the proposed RIS-assisted generalized spatial modulation with phase offset (RIS-GSM-P) scheme activates an arbitrary number of transmit antennas to form a wider variety of transmit antenna combinations (TAC) for improving SE. Depending on whether the direct path is available or not, two phase offset schemes are conceived to enhance the beamforming of the RIS and to widen the channel difference between TACs. Finally, a unified framework for the theoretical bit error rate upper bound of the proposed RIS-GSM-P scheme is presented, which is also compatible with several conventional RIS-assisted transmission schemes. Furthermore, a low-complexity detector is provided to reduce the detection complexity. Monte Carlo simulation results are provided to demonstrate the effectiveness of the proposed schemes and to validate our theoretical analysis.

关键词： Phase modulation MIMO communication Transmitters Vectors Bit error rate Array signal processing Complexity theory Reconfigurable intelligent surface multiple-input multiple-output spatial modulation (SM) phase offset maximum likelihood detection low-complexity detector

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A fuzzy C-regression model algorithm using a new PSO algorithm

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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2018年第1期32卷 115-133页

作者： Taieb, Adel Soltani, Moez Chaari, Abdelkader Natl Higher Engn Sch Tunis ENSIT Lab Engn Ind Syst & Renewable Energy 5 Ave Taha Hussein TunisBP 56 Tunis 1008 Tunisia

In this paper, a new methodology is introduced for the identification of the parameters of the multiple-input-multiple-output local linear Takagi-Sugeno fuzzy models using the weighted recursive least squares (WRLS). The WRLS is sensitive to initialization, which leads to no convergence. In order to overcome this problem, adaptive chaos particle swarm optimization is proposed to optimize the initial states of WRLS. This new algorithm is improved versions of the original particle swarm optimization algorithm. Finally, comparative experiments are designed to verify the validity of the proposed clustering algorithm and the Takagi-Sugeno fuzzy model identification method, and the results show that the new method is effective in describing a complicated nonlinear system with significantly high accuracies compared with approaches in the literature.

关键词： chaos adaptive particle swarm optimization fuzzy C-regression model clustering algorithm identification multiple-input multiple-output Takagi-Sugeno fuzzy models

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The performance analysis of multi-hop MIMO free space optical communications with space-time block codes over exponentiated Weibull fading channels

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OPTICS COMMUNICATIONS 2019年 442卷 95-100页

作者： Huang, Chao Wang, Ping Pang, Weina Guo, Lixin Liu, Xiaoxia Xidian Univ Sch Telecommun Engn State Key Lab Integrated Serv Networks Xian 710071 Shaanxi Peoples R China Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Shaanxi Peoples R China

The symbol error rate (SER) performance of decode-and-forward (DF) based multiple-input multiple-output (MIMO) mull-hop free-space optical (FSO) systems is investigated with space-time block coding (STBC) over the exponentiated Weibull (EW) fading channel. The moment generating function (MGF) and Gauss-Laguerre quadrature rule are adopted to derive the end-to-end (EE) analytical SER expressions for this considered FSO communication system. The SER performance is further studied under various hops, STBC schemes, and turbulence conditions detailly. In addition, the asymptotic EE SER expressions are obtained to evaluate the diversity orders. Results show that the SER performances of this FSO system under EW atmospheric turbulence distribution can be improved considerably by employing the STBC scheme, and the diversity order depends not only on the numbers of transmitting and receiving antennas, but also on the channel fading parameters. The SERB of EW distribution are compared with Lognormal (LN) and gamma-gamma (G-G) distributions in weak and strong turbulence atmosphere, respectively. We also verify these analytical results through Monte Carlo simulations. This work is beneficial to the design of FSO system.

关键词： Exponentiated Weibull distribution Multi-hop Free-space optical communications multiple-input multiple-output Space-time block codes

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Optimization of a two-way MIMO amplify-and-forward relay network

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EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2014年第1期2014卷 1页

作者： Zhang, Ying Chen, Yinjiang Pan, Chuanyi Zhao, Huapeng Kang, Ning Univ Elect Sci & Technol China Coll Elect Engn Chengdu 610066 Peoples R China Inst High Performance Comp Dept Elect & Photon Singapore 138632 Singapore

In this paper, we consider optimization of a two-way multiple-input multiple-output (MIMO) amplify-and-forward relay network which consists of a pair of transceivers and several relay nodes. multiple antennas are equipped on the transceivers and relays. multiple access broadcast scheme which finishes communication in two time slots is considered. In the first time slot, signals received by the relays are scaled by several beamforming matrices. In the second time slot, the relays transmit the scaled signals to the two transceivers. Upon receiving these signals, a MIMO equalizer is implemented at each transceiver to recover the desired signal. In this paper, zero forcing equalizers are used. Joint optimization of the beamforming matrices and the equalizers are realized using the following criteria: 1) the total relay transmission power is minimized subject to the minimal output signal-to-noise ratio (SNR) constraint at each transceiver, 2) the minimal output SNR of the two transceivers is maximized subject to total relay transmission power constraint, and 3) the minimal output SNR of the two transceivers is maximized subject to individual relay transmission power constraint. It is shown that the proposed optimization problems can be formulated as the second-order cone programming problems which can be solved efficiently. The validity of the proposed algorithm is verified by computer simulations.

关键词： Amplify-and-forward Beamforming multiple-input multiple-output Relaying Second-order cone programming Zero-forcing

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Sum-Rate Maximization in the Multicell MIMO multiple-Access Channel with Interference Coordination

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2014年第1期13卷 36-48页

作者： Nguyen, Duy H. N. Tho Le-Ngoc McGill Univ Dept Elect & Comp Engn Dept Elect Engn Montreal PQ H3A 0E9 Canada

This paper is concerned with the maximization of the weighted sum-rate (WSR) in the multicell MIMO multiple access channel (MAC). We consider a multicell network operating on the same frequency channel with multiple mobile stations (MS) per cell. Assuming the interference coordination mode in the multicell network, each base-station (BS) only decodes the signals for the MSs within its cell, while the inter-cell transmissions are treated as noise. Nonetheless, the uplink precoders are jointly optimized at MSs through the coordination among the cells in order to maximize the network weighted sum-rate (WSR). Since this WSR maximization problem is shown to be nonconvex, obtaining its globally optimal solution is rather computationally complex. Thus, our focus in this work is on low-complexity algorithms to obtain at least locally optimal solutions. Specifically, we propose two iterative algorithms: one is based on successive convex approximation and the other is based on iterative minimization of weighted mean squared error. Both solution approaches shall then reveal the structure of the optimal uplink precoders. In addition, we also show that the proposed algorithms can be implemented in a distributed manner across the coordinated cells. Simulation results show a significant improvement in the network sum-rate by the proposed algorithms, compared to the case with no interference coordination.

关键词： Multicell interference coordination coordinated multipoint transmission/reception multiple-input multiple-output multiple access channel convex optimization MMSE

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Modulation classification for MIMO systems: State of the art and research directions

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CHAOS SOLITONS & FRACTALS 2016年 89卷 497-505页

作者： Bahloul, Mohammad Rida Yusoff, Mohd Zuki Abdel-Aty, Abdel-Haleem Saad, M. Naufal M. Al-Jemeli, Marwan Univ Teknol PETRONAS Dept Elect & Elect Engn Ctr Intelligent Signal & Imaging Res Perak Malaysia Al Azhar Univ Fac Sci Phys & Comp Dept Assiut Egypt Limkokwing Univ Creat Technol Fac Informat & Commun Technol Cyberjaya Malaysia

Blind techniques and algorithms for multiple-input multiple-output (MIMO) signals interception have recently attracted a great deal of research efforts. This is due to their important applications in the military and civil telecommunications domains. One essential step in the signal interception process is to blindly recognize the modulation scheme of the MIMO signals. This process is formally called Modulation Classification (MC). This paper discusses the modulation classification for MIMO systems and presents a comprehensive and critical literature review of the existing MC algorithms for MIMO systems;where possible, gaps in the knowledge base are identified and future directions for the research work are suggested. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Modulation classification multiple-input multiple-output Statistical features Pattern recognition

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Power Allocation Based on Reinforcement Learning for MIMO System With Energy Harvesting

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第7期69卷 7622-7633页

作者： Mu, Xingchi Zhao, Xiaohui Liang, Hui Jilin Univ Coll Commun Engn Changchun 130012 Peoples R China

This paper focuses on the use of a reinforcement learning (RL) approach to find two online power allocation policies in a point to point EH-MIMO wireless communication system. In our study, we train the power allocation policies in order to learn the map between the environment and the agent. Particularly, in order to avoid "dimension disaster" problem which may happen in our proposed SARSA power allocation policy, we introduce a linear approximation method to get an approximate SARSA power allocation policy. The linear approximation can handle infinite number of states and trade-off between complexity and performance of power allocation is significantly improved. The simulation results show that the proposed SARSA and approximate SARSA power allocation policies have a considerable throughput increase compared with the benchmark policies, such as greedy, random and conservative policies.

关键词： Resource management MIMO communication Wireless communication Approximation algorithms Energy harvesting Transmitters Batteries Power allocation throughout maximization reinforcement learning energy harvesting multiple-input multiple-output

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