DocumentCode :
2414184
Title :
Maximizing Sample Rate for Distributed Source Coding over Multiple Access Channels
Author :
Wang, Tianqi ; Heinzelman, Wendi ; Seyedi, Alireza ; Vosoughi, Azadeh
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
code division multiple access; radio transmitters; source coding; time division multiple access; wireless channels; wireless sensor networks; CDMA; DSC rate constraints; TDMA; average power constraints; circuit power consumption; correlated sources; distributed source coding; joint entropy; lossless transmission; noise power; optimal orthogonal MAC; orthogonal multiple access channels; path loss; transmitters; wireless network; Channel coding; Peer to peer computing; Power demand; Time division multiple access; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5962915
Filename :
5962915
Link To Document :
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