Adaptive rate transmission for spectrum sharing system with quantized channel state information
Type
Conference PaperKAUST Department
Communication Theory LabComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
Date
2011-03Permanent link to this record
http://hdl.handle.net/10754/564365
Metadata
Show full item recordAbstract
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.Citation
Abdallah, M., Salem, A., Alouini, M.-S., & Qaraqe, K. A. (2011). Adaptive rate transmission for spectrum sharing system with quantized channel state information. 2011 45th Annual Conference on Information Sciences and Systems. doi:10.1109/ciss.2011.5766156Conference/Event name
2011 45th Annual Conference on Information Sciences and Systems, CISS 2011ISBN
9781424498475ae974a485f413a2113503eed53cd6c53
10.1109/CISS.2011.5766156