Title
Interference Management in Cognitive Radio Systems With Feasibility Detection.
Abstract
In this paper, we consider a cognitive radio system with N secondary user (SU) pairs sharing a spectrum with a pair of primary users (PUs). The SU power allocation problem is formulated as a capacity maximization problem under PU and SU quality of service (QoS) and SU peak power constraints. We show that our problem formulation is a geometric program and can be solved with convex optimization techniques. We examine the effect of PU transmissions in our formulations. Solutions for both low- and high-signal-to-interference-and-noise ratio (SINR) scenarios are provided. We show that including PU capacity in the optimization problem in some circumstances leads to increased PU performance while not significantly degrading SU capacity. In a practical wireless communication system, accurate channel state information (CSI) is not often available; hence, we formulate power allocation problems with both perfect and imperfect CSI and analyze the performance loss incurred due to imperfect CSI. Furthermore, we present a novel method of detecting and removing infeasible SU QoS constraints from the SU power allocation problem that results in considerably improved SU performance. Cumulative distribution functions of capacity for various Rayleigh fading channels are presented.
Year
DOI
Venue
2013
10.1109/TVT.2013.2263398
IEEE T. Vehicular Technology
Keywords
Field
DocType
Interference,Optimization,Quality of service,Signal to noise ratio,Resource management,Receivers,Approximation methods
Mathematical optimization,Rayleigh fading,Computer science,Communication channel,Quality of service,Electronic engineering,Cumulative distribution function,Optimization problem,Convex optimization,Channel state information,Cognitive radio
Journal
Volume
Issue
ISSN
62
8
0018-9545
Citations 
PageRank 
References 
3
0.38
13
Authors
4
Name
Order
Citations
PageRank
Sudhir Singh1222.44
Paul D. Teal2348.08
Pawel A. Dmochowski314425.36
Alan J. Coulson428331.45