Title
Optimal Rate Allocation For Distributed Source Coding Over Gaussian Multiple Access Channels
Keywords
CDMA; Distributed source coding; FDMA; Gaussian multiple access channel; optimal rate allocation; Orthogonal CDMA; Slepian-Wolf source coding; successive interference cancelation; superposition coding; TDMA
Abstract
We study the problem of joint optimization of Slepian-Wolf (SW) source coding and transmission rates over a Gaussian multiple access channel with the considerations of circuit power consumption and average transmit power constraint. The goal is to maximize the sample rate at the source nodes. We first derive a criterion to determine the optimality of different multiple access schemes such that the highest sample rate can be achieved at the source nodes when SW coding is used. Based on the derived optimality criterion, we propose a rate allocation procedure to determine the jointly optimal SW coding and transmission rates corresponding to orthogonal code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA) and superposition coding with successive interference cancellation (SCSIC) schemes. Several demonstrative numerical examples are provided to show the performance gain of the proposed joint rate allocation scheme. © 2002-2012 IEEE.
Publication Date
4-1-2013
Publication Title
IEEE Transactions on Wireless Communications
Volume
12
Issue
5
Number of Pages
2002-2013
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TWC.2013.032013.112211
Copyright Status
Unknown
Socpus ID
84878631864 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84878631864
STARS Citation
Wang, Tianqi; Seyedi, Alireza; Vosoughi, Azadeh; and Heinzelman, Wendi, "Optimal Rate Allocation For Distributed Source Coding Over Gaussian Multiple Access Channels" (2013). Scopus Export 2010-2014. 6820.
https://stars.library.ucf.edu/scopus2010/6820