Distributed source coding for satellite communications

被引:97
|
作者
Yeung, RW [1 ]
Zhang, Z
机构
[1] Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, NT, Peoples R China
[2] Univ So Calif, Dept Elect Engn Syst, Inst Commun Sci, Los Angeles, CA 90089 USA
基金
美国国家科学基金会;
关键词
diversity coding; multiterminal source coding; multiuser information theory; satellite communication;
D O I
10.1109/18.761254
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Inspired by mobile satellite communications systems, we consider a source coding system which consists of multiple sources, multiple encoders, and multiple decoders. Each encoder has access to a certain subset of the sources, each decoder has access to certain subset of the encoders, and each decoder reconstructs a certain subset of the sources almost perfectly. The connectivity between the sources and the encoders, the connectivity between the encoders and the decoders, and the reconstruction requirements for the decoders are all arbitrary. Our goal is to characterize the admissible coding rate region. Despite the generality of the problem, we have developed an approach which enables us to study all cases on the same footing. We obtain inner and outer bounds of the admissible coding rate region in terms of Gamma(N)* and <(Gamma)over bar>(N)*, respectively, which are fundamental regions in the entropy space recently defined by Yeung, So far, there has not been a full characterization of Gamma(N)*, so these bounds cannot be evaluated explicitly except for some special cases. Nevertheless, we obtain an alternative outer bound which can be evaluated explicitly. We show that this bound is tight for all the special cases for which the admissible coding rate region is known, The model we study in this paper is more general than all previously reported models on multilevel diversity coding, and the tools we use are new in multiuser,information theory.
引用
收藏
页码:1111 / 1120
页数:10
相关论文
共 50 条
  • [31] Distributed source coding of multiview images
    Tehrani, MP
    Fujii, T
    Tanimoto, M
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2004, PTS 1 AND 2, 2004, 5308 : 300 - 309
  • [32] Distributed source coding for sensor networks
    Xiong, ZX
    Liveris, AD
    Cheng, S
    IEEE SIGNAL PROCESSING MAGAZINE, 2004, 21 (05) : 80 - 94
  • [33] Source-Optimized Clustering for Distributed Source Coding
    Maierbacher, Gerhard
    Barros, Joao
    GLOBECOM 2006 - 2006 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2006,
  • [34] Distributed Video Coding With MIMO for Video Wireless Communications
    Weerakkody, W. A. R. J.
    Fernando, W. A. C.
    Muraleetharan, K.
    Adedoyin, S.
    ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, 2007, : 384 - +
  • [35] Distributed linear block coding for cooperative wireless communications
    Rossi, Pierluigi Salvo
    Petropulu, Athina P.
    Palmieri, Francesco
    Iannello, Giulio
    IEEE SIGNAL PROCESSING LETTERS, 2007, 14 (10) : 673 - 676
  • [36] A Joint Source-Channel Video Coding Scheme Based on Distributed Source Coding
    Zhang, Yixuan
    Ieee, Ce ZhuSenior Member
    Yap, Kim-Hui
    IEEE TRANSACTIONS ON MULTIMEDIA, 2008, 10 (08) : 1648 - 1656
  • [37] Distributed source coding for utilization of inter/intra source correlation
    Mo, Hong
    Chen, Jianhua
    Lang, Xun
    Li, Jingjian
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 105
  • [38] Network Coding Channel Virtualization Schemes for Satellite Multicast Communications
    Ghanem, Samah A. M.
    Gharsellaoui, Ala Eddine
    Tarchi, Daniele
    Vanelli-Coralli, Alessandro
    GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, 2017,
  • [39] CODING AND CODED MODULATION TECHNIQUES FOR RELIABLE SATELLITE AND SPACE COMMUNICATIONS
    LIN, S
    RAJPAL, S
    RHEE, DJ
    LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, 1992, 182 : 18 - 39
  • [40] Energy Efficient Adaptive Network Coding Schemes for Satellite Communications
    Gharsellaoui, Ala Eddine
    Ghanem, Samah A. M.
    Tarchi, Daniele
    Coralli, Alessandro Vanelli
    WIRELESS AND SATELLITE SYSTEMS (WISATS 2016), 2017, 186 : 202 - 212