Joint source coding and transmission power management for energy efficient wireless video communications

被引:89
|
作者
Eisenberg, Y [1 ]
Luna, CE [1 ]
Pappas, TN [1 ]
Berry, R [1 ]
Katsaggelos, AK [1 ]
机构
[1] Northwestern Univ, Dept Elect & Comp Engn, Evanston, IL 60208 USA
关键词
error concealment; error resilience; expected distortion; optimal mode selection; power and rate control;
D O I
10.1109/TCSVT.2002.800309
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a situation where a video sequence is to be compressed and transmitted over a wireless channel. Our goal Is to limit the amount of distortion in the received video sequence, while minimizing transmission energy. To accomplish this goal, we consider error resilience and concealment techniques at the source coding level, and transmission power management at the physical layer. We jointly consider these approaches in a novel framework. In this setting, we formulate and solve an optimization problem that corresponds to minimizing the energy required to transmit video under distortion and delay constraints. Experimental results show that simultaneously adjusting the source coding and transmission power is more energy efficient than considering these factors separately.
引用
收藏
页码:411 / 424
页数:14
相关论文
共 50 条
  • [31] Energy-efficient joint source-channel coding for optical wireless underwater networks
    Srinivasan, Balakrishnan
    Rodoplu, Volkan
    2007 OCEANS, VOLS 1-5, 2007, : 725 - 729
  • [32] 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 - +
  • [33] Joint source and space-time block coding for MIMO video communications
    Lin, S
    Stefanov, A
    Wang, Y
    VTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7: WIRELESS TECHNOLOGIES FOR GLOBAL SECURITY, 2004, : 2508 - 2512
  • [34] Deep Joint Source-Channel Coding for Wireless Image Transmission
    Bourtsoulatze, Eirina
    Kurka, David Burth
    Gunduz, Deniz
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2019, 5 (03) : 567 - 579
  • [35] DEEP JOINT SOURCE-CHANNEL CODING FOR WIRELESS IMAGE TRANSMISSION
    Bourtsoulatze, Eirina
    Kurka, David Burth
    Gunduz, Deniz
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 4774 - 4778
  • [36] Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM
    Yang, Mingyu
    Bian, Chenghong
    Kim, Hun-Seok
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [37] Efficient Line Coding for Low-Power Optical Wireless Communications
    Hinrichs, Malte
    Poddig, Benjamin
    Noelle, Markus
    Hellwig, Peter
    Freund, Ronald
    Jungnickel, Volker
    2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
  • [38] Adaptive Source-FEC Coding for Energy-Efficient Surveillance Video Over Wireless Networks
    Wu, Jiyan
    Cheng, Bo
    Wang, Ming
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2018, 66 (05) : 2153 - 2168
  • [39] A power and bandwidth efficient joint source and channel coding scheme
    Lin, ZH
    Aulin, T
    ICC 2005: IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, 2005, : 1107 - 1111
  • [40] A joint source coding and networking scheme for video streaming over wireless LANs
    Man, H
    Li, Y
    ITRE2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: RESEARCH AND EDUCATION, 2003, : 60 - 64