On space-time coding in the presence of spatio-temporal correlation

被引:16
|
作者
Fozunbal, M [1 ]
McLaughlin, SW
Schafer, RW
Landsberg, JM
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
关键词
correlation; design criteria; fading channels; multiple antennas; performance criterion; space-time codes;
D O I
10.1109/TIT.2004.833346
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider the problem of space-time coding over Rician channels in the presence of spatio-temporal correlation. We derive an upper bound on the pairwise word error probability (PWEP) of space-time codes and use it as a basis for a unified approach to analysis and design of space-time codes over any flat, Rician or Rayleigh, block-fading channel. Based on the statistical properties of a Rician channel, the high-signal-to-noise ratio (SNR) behavior of the bound is either exponential or rational. In the former case, design criteria for space-time codes are based on a Euclidean-distance-like measure. However, in the latter case, design criteria are based on a rank criterion together with a coding gain criterion. The analysis of the bound shows that the performance of rank-deficient codes can be highly degraded in the presence of spatio-temporal correlation, but the performance degradation is not severe for full-rank codes. These codes exhibit robustness against the channel correlation profile. Specifically, for channels with a nonsingular covariance matrix, the asymptotic performance of a full-rank code is proportional to its performance in the independent and identically distributed (i.i.d.) case. In the case that the only constraint on the codewords is a maximum energy constraint, we show that the set of rank-deficient codes forms a proper algebraic subset of measure zero in the affine space of space-time codes. Thus, any randomly selected code is full rank with probability one. Hence, in this case, the main challenge in space-time coding is not maximizing diversity but optimizing coding gain. However, optimizing the coding gain is computationally hard and there exists no satisfactory algorithm to solve this problem in general. On the other hand, when we constrain codewords to be from a finite alphabet or to satisfy particular algebraic structures, e.g., group codes, lattice codes, or coset codes, the problem might be tractable, but rank-deficient codes might be highly probable at high spectral efficiency.
引用
收藏
页码:1910 / 1926
页数:17
相关论文
共 50 条
  • [21] CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
    Liang, Yaoyuan
    Liang, Xiao
    Tang, Yansong
    Yang, Zhao
    Li, Ziran
    Wang, Jingang
    Ding, Wenbo
    Huang, Shao-Lun
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 4, 2024, : 3324 - 3332
  • [22] Space-time density of field trip trajectory: exploring spatio-temporal patterns in movement data
    Cho N.
    Kang Y.
    Spatial Information Research, 2017, 25 (01) : 141 - 150
  • [23] On spatio-temporal component selection in Space-Time Independent Component Analysis: An application to ictal EEG
    James, Christopher J.
    Demanuele, Charmaine
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 3154 - 3157
  • [24] Vehicle Travel Time Prediction in Spatio-temporal Space
    Li, Qing
    Lam, William H. K.
    Tam, Mei Lam
    SUSTAINABLE DEVELOPMENT OF URBAN INFRASTRUCTURE, PTS 1-3, 2013, 253-255 : 1662 - 1665
  • [25] Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
    Meng, Xuewei
    Jia, Chuanmin
    Zhang, Xinfeng
    Wang, Shanshe
    Ma, Siwei
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 31 : 30 - 42
  • [26] Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
    Meng, Xuewei
    Jia, Chuanmin
    Zhang, Xinfeng
    Wang, Shanshe
    Ma, Siwei
    IEEE Transactions on Image Processing, 2022, 31 : 30 - 42
  • [27] Learning a spatio-temporal correlation
    Narain, D.
    Mamassian, P.
    van Beers, R. J.
    Smeets, J. B. J.
    Brenner, E.
    PERCEPTION, 2012, 41 : 58 - 58
  • [28] Spatio-temporal coding for wireless communications
    Raleigh, GG
    Cioffi, JM
    IEEE GLOBECOM 1996 - CONFERENCE RECORD, VOLS 1-3: COMMUNICATIONS: THE KEY TO GLOBAL PROSPERITY, 1996, : 1809 - 1814
  • [29] Spatio-temporal coding for wireless communication
    Raleigh, GG
    Cioffi, JM
    IEEE TRANSACTIONS ON COMMUNICATIONS, 1998, 46 (03) : 357 - 366
  • [30] Analysing the space-time distribution of soil water storage of a forest ecosystem using spatio-temporal kriging
    Jost, G
    Heuvelink, GBM
    Papritz, A
    GEODERMA, 2005, 128 (3-4) : 258 - 273