Paper Info
Title
Communicating the Difference of Correlated Gaussian Sources over a MAC
Abstract
This paper considers the problem of transmitting the difference of two positively correlated Gaussian sources over a two-user additive Gaussian noise multiple access channel (MAC). The goal is to recover this difference within an average mean squared error distortion criterion. Each transmitter has access to only one of the two Gaussian sources and is limited by an average power constraint. In this work, a lattice coding scheme that achieves a distortion within a constant of a distortion lower bound is presented if the signal to noise ratio (SNR) is greater than a threshold. Further, uncoded transmission is shown to be worse in performance to lattice coding methods for correlation coefficients above a threshold. An alternative lattice coding scheme is also presented that can potentially improve on the performance of uncoded transmission.
Year
DOI
Venue
2009
10.1109/DCC.2009.17
DCC '09 Proceedings of the 2009 Data Compression Conference
Keywords
DocType
ISSN
gaussian source,two-user additive gaussian noise,alternative lattice,correlated gaussian sources,average power constraint,multiple access channel,uncoded transmission,noise ratio,error distortion criterion,correlation coefficient,signal to noise ratio,data compression,encoding,random variables,tin,gaussian processes,mean square error,channel coding,source coding,transmitters,distortion,lower bound,mac,lattices,data mining,gaussian noise,statistics
Conference
1068-0314
Citations 
PageRank 
References 
5
0.85
11
Authors
2
Name
Order
Citations
PageRank
Rajiv Soundararajan178233.20
Sriram Vishwanath24185445.45