Title
A sparsity detection framework for on-off random access channels
Abstract
This paper considers a simple on-off random multiple access channel (MAC), where n users communicate simultaneously to a single receiver. Each user is assigned a single codeword which it transmits with some probability lambda over m degrees of freedom. The receiver must detect which users transmitted. We show that detection for this random MAC is mathematically equivalent to a standard sparsity detection problem. Using new results in sparse estimation we are able to estimate the capacity of these channels and compare the achieved performance of various detection algorithms. The analysis provides insight into the roles of power control and multi-user detection.
Year
DOI
Venue
2009
10.1109/ISIT.2009.5205769
Seoul
Keywords
DocType
ISBN
random mac,sparsity detection framework,single receiver,multi-user detection,new result,on-off random multiple access,standard sparsity detection problem,on-off random access channel,n user,various detection algorithm,m degree,single codeword,orthogonal matching pursuit,upper and lower bounds,degree of freedom,random access,signal to noise ratio,compressed sensing,power control,modulation
Conference
978-1-4244-4313-0
Citations 
PageRank 
References 
6
1.04
16
Authors
3
Name
Order
Citations
PageRank
Alyson K. Fletcher155241.10
Sundeep Rangan23101163.90
Vivek K. Goyal32031171.16