Adaptive rate transmission for spectrum sharing system with quantized channel state information

Mohamed M. Abdallah, Ahmed H. Salem, Mohamed-Slim Alouini, Khalid A. Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The capacity of a secondary link in spectrum sharing systems has been recently investigated in fading environments. In particular, the secondary transmitter is allowed to adapt its power and rate to maximize its capacity subject to the constraint of maximum interference level allowed at the primary receiver. In most of the literature, it was assumed that estimates of the channel state information (CSI) of the secondary link and the interference level are made available at the secondary transmitter via an infinite-resolution feedback links between the secondary/primary receivers and the secondary transmitter. However, the assumption of having infinite resolution feedback links is not always practical as it requires an excessive amount of bandwidth. In this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized CSI available at the secondary transmitter. We develop a computationally efficient algorithm for optimally quantizing the CSI and finding the optimal power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. Our results give the number of bits required to represent the CSI sufficient to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI for Rayleigh fading channels. © 2011 IEEE.
Original languageEnglish (US)
Title of host publication2011 45th Annual Conference on Information Sciences and Systems
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781424498475
DOIs
StatePublished - Mar 2011

Fingerprint Dive into the research topics of 'Adaptive rate transmission for spectrum sharing system with quantized channel state information'. Together they form a unique fingerprint.

Cite this