Maximizing Sample Rate for Distributed Source Coding over Multiple Access Channels

We investigate the problem of maximizing the sample rate at the transmitters in a wireless network using distributed source coding (DSC) and lossless transmission. With the consideration of circuit power consumption, average power constraints and DSC rate constraints, we study different orthogonal m...

Full description

Saved in:
Bibliographic Details
Published in2011 IEEE International Conference on Communications (ICC) pp. 1 - 5
Main Authors Tianqi Wang, Heinzelman, W., Seyedi, A., Vosoughi, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Channel coding
Peer to peer computing
Power demand
Time division multiple access
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary:We investigate the problem of maximizing the sample rate at the transmitters in a wireless network using distributed source coding (DSC) and lossless transmission. With the consideration of circuit power consumption, average power constraints and DSC rate constraints, we study different orthogonal multiple access channels (MACs) and prove that the optimal orthogonal MAC is either TDMA or CDMA, depending on the joint entropy of the correlated sources, average power constraints, circuit power consumption, noise power and path loss.
ISBN:9781612842325
1612842321
ISSN:1550-3607
1938-1883
DOI:10.1109/icc.2011.5962915