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