By Topic

A Broadcast Approach to Multiple Access with Random States

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Paolo Minero ; Advanced Network Science, Department of ECE, University of California, San Diego, CA 92093, USA. Email: ; David N. C. Tse

"THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD" In this paper, we employ a broadcast transmission strategy for studying multiple access communication with no channel state information (CSI) at the transmitter. Users simultaneously encode their data into several streams that are then superimposed on top of each other. The receiver decodes a subset of the transmitted streams, dependent on the quality of the channel. We focus on two particular problems: first, we analyze communication over a Gaussian multiple access channel (MAC) with slow fading and no transmitter CSI. Users encode one stream per each fading state. We characterize the fundamental tradeoff between the achievable sum-rates in the various data streams. Next, we study transmission over a two- user synchronous Gaussian MAC in which users transmit in an uncoordinated and random manner. Each user superimposes two data streams, one high priority, ensuring part of the information is received reliably, and one high rate, opportunistically taking advantage of the channel when the other user is not transmitting. We study the performance limit for low and high SNR regimes.

Published in:

2007 IEEE International Symposium on Information Theory

Date of Conference:

24-29 June 2007