On the MIMO channel capacity of multi-dimensional signal sets

被引:0
|
作者
Ng, SX [1 ]
Hanzo, L [1 ]
机构
[1] Univ Southampton, Sch ECS, Southampton SO17 1BJ, Hants, England
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this contribution two general formulae were derived for the capacity evaluation of Multi-Input Multi-Output (MIMO) systems using multi-dimensional signal sets, different modulation schemes and an arbitrary number of transmit as well as receive antennas. It was shown that transmit diversity is capable of narrowing the gap between the capacity of the Rayleigh-fading channel and the AWGN channel. However, since this gap becomes narrower when the receiver diversity order is increased, for higher-order receiver diversity the performance advantage of transmit diversity diminishes. A MINIO system having full multiplexing gain has a higher achievable capacity, than the corresponding MIMO system designed for achieving full diversity gain, provided that the channel SNR is sufficiently high.
引用
收藏
页码:1594 / 1598
页数:5
相关论文
共 50 条
  • [1] On the MIMO channel capacity of multidimensional signal sets
    Ng, SX
    Hanzo, L
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2006, 55 (02) : 528 - 536
  • [2] Utilizing Multi-Dimensional MmWave MIMO Channel Features for Location Verification
    Zhang, Pinchang
    Liu, Yangyang
    He, Ji
    SENSORS, 2022, 22 (23)
  • [3] Dimensionality reduction on multi-dimensional transfer functions for multi-channel volume data sets
    Kim, Han Suk
    Schulze, Juergen P.
    Cone, Angela C.
    Sosinsky, Gina E.
    Martone, Maryann E.
    INFORMATION VISUALIZATION, 2010, 9 (03) : 167 - 180
  • [4] Low-Complexity Signal Detection by Multi-Dimensional Search for Correlated MIMO Channels
    Zheng, Liming
    Fukawa, Kazuhiko
    Suzuki, Hiroshi
    Suyama, Satoshi
    2011 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2011,
  • [5] The asymptotic capacity of multi-dimensional runlength-limited constraints and independent sets in hypergraphs
    Ordentlich, E
    Roth, RM
    2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, 2003, : 106 - 106
  • [6] Multi-Dimensional Beamforming for Adaptive MIMO Systems
    Gheryani, Mabruk
    Wu, Zhiyuan
    Shayan, Yousef R.
    ISWPC: 2009 4TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, 2009, : 242 - 243
  • [7] Enhancers Multi-dimensional signal integrators
    Jin, Fulai
    Li, Yan
    Ren, Bing
    Natarajan, Rama
    TRANSCRIPTION-AUSTIN, 2011, 2 (05): : 226 - 230
  • [8] Multi-dimensional Signal Mapping for MIMO-BICM-ID over Block Fading Channels
    Alfasi, Muammar A.
    Shayan, Yousef R.
    2009 IEEE 20TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, 2009, : 1327 - 1331
  • [9] A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO With Mobility
    Li, Weidong
    Yin, Haifan
    Qin, Ziao
    Cao, Yandi
    Debbah, Merouane
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (04) : 2215 - 2230
  • [10] Turbo transceivers for MIMO wireless communications and their performance verification via multi-dimensional channel sounding
    Matsumoto, T
    Thomä, S
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2005, E88B (06) : 2239 - 2251