Title :
Communicating Linear Functions of Correlated Gaussian Sources Over a MAC
Author :
Soundararajan, Rajiv ; Vishwanath, Sriram
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fDate :
3/1/2012 12:00:00 AM
Abstract :
This paper considers the problem of transmitting linear functions of two correlated Gaussian sources over a two-user additive Gaussian noise multiple access channel. The goal is to recover this linear function 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 paper, a lattice coding scheme and two lower bounds on the achievable distortion are presented. The lattice scheme achieves within a constant of a distortion lower bound if the signal-to-noise ratio is greater than a threshold. Furthermore, for the difference of correlated Gaussian sources, uncoded transmission is shown to be worse in performance to lattice coding methods for correlation coefficients above a threshold.
Keywords :
AWGN channels; channel coding; correlation theory; distortion; multi-access systems; radio transmitters; Gaussian source; MAC; average mean squared error distortion criterion; average power constraint; correlated Gaussian source; correlation coefficient; lattice coding scheme; lattice scheme; linear function communication; linear function transmission; signal-to-noise ratio; two-user additive Gaussian noise multiple access channel; Joints; Lattices; Random variables; Receivers; Source coding; Transmitters; Distributed communication; Gaussian multiple access channel (MAC); joint source channel coding; lattice codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2173632