Channel capacity of multiple-input multiple-output systems with transmit and receive correlation

被引:0
|
作者
Wang Jun1
2. Beijing Communications Laboratories Co.
机构
基金
中国国家自然科学基金;
关键词
multiple input multiple output; channel capacity; spatial correlation; channel state information;
D O I
暂无
中图分类号
TN911 [通信理论];
学科分类号
081002 ;
摘要
In order to investigate the impact of channel model parameters on the channel capacity of a multiple-input multiple-output (MIMO) system, a novel method is proposed to explore the channel capacity under Rayleigh fiat fading with correlated transmit and receive antennas. The optimal transmitting direction which can achieve maximum channel capacity is derived using random matrices theory. In addition, the closed-form expression for the channel capacity of MIMO systems is given by utilizing the properties of Wishart distribution when SNR is high. Computer simulation results show that the channel capacity is maximized when the antenna spacing increases to a certain point, and furthermore, the larger the scattering angle is, the more quickly the channel capacity converges to its maximum. At high SNR (>12 dB), the estimation of capacity is close to its true value. And, when the same array configuration is adopted both at the transmitter and the receiver, the UCA yields higher channel capacity than ULA.
引用
收藏
页码:21 / 26
页数:6
相关论文
共 50 条
  • [21] A study on the channel capacity of multiple-input multiple-output (MIMO) wireless system
    Trung, Ha Duyen
    Benjapolakul, Watit
    Araki, Kiyomichi
    2007 IFIP INTERNATIONAL CONFERENCE ON WIRELESS AND OPTICAL COMMUNICATIONS NETWORKS, 2007, : 427 - +
  • [22] The Capacity Region of the Degraded Multiple-Input Multiple-Output Compound Broadcast Channel
    Weingarten, Hanan
    Liu, Tie
    Shamai , Shlomo
    Steinberg, Yossef
    Viswanath, Pramod
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2009, 55 (11) : 5011 - 5023
  • [23] RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity
    Tuan, H. D.
    Nasir, A. A.
    Dutkiewicz, E.
    Poor, H. V.
    Hanzo, L.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 72 (01) : 117 - 132
  • [24] Cross-entropy optimisation of multiple-input multiple-output capacity by transmit antenna selection
    Zhang, Y.
    Ji, C.
    Malik, W. Q.
    O'Brien, D. C.
    Edwards, D. J.
    IET MICROWAVES ANTENNAS & PROPAGATION, 2007, 1 (06) : 1131 - 1136
  • [25] Capacity analysis of cooperative amplify and forward multiple-input multiple-output systems
    Eltira, Khadiga
    Jibreel, Nareeman
    Younis, Abdelhamid
    Mesleh, Raed
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2021, 32 (10)
  • [26] Channel Capacity of Multiple-Input Multiple-Output Systems for Optimal Antenna Spacing by Particle Swarm Optimizer
    Chiu, Chien-Ching
    Yu, Chia-Ying
    Liao, Shu-Han
    Wu, Min-Kang
    WIRELESS PERSONAL COMMUNICATIONS, 2013, 69 (04) : 1865 - 1876
  • [27] Channel Capacity of Multiple-Input Multiple-Output Systems for Optimal Antenna Spacing by Particle Swarm Optimizer
    Chien-Ching Chiu
    Chia-Ying Yu
    Shu-Han Liao
    Min-Kang Wu
    Wireless Personal Communications, 2013, 69 : 1865 - 1876
  • [28] Blind equalization and channel estimation for multiple-input multiple-output communications systems
    Tugnait, JK
    1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 2443 - 2446
  • [29] Simple correlated channel model for ultrawideband multiple-input multiple-output systems
    Adeane, J.
    Malik, W. Q.
    Wassell, I. J.
    Edwards, D. J.
    IET MICROWAVES ANTENNAS & PROPAGATION, 2007, 1 (06) : 1177 - 1181
  • [30] Radio Vortex Multiple-Input Multiple-Output Communication Systems With High Capacity
    Zhu, Qibiao
    Jiang, Tao
    Qu, Daiming
    Chen, Da
    Zhou, Nanrun
    IEEE ACCESS, 2015, 3 : 2456 - 2464