Title
Robust Probabilistic Distributed Power Control Algorithm for Underlay Cognitive Radio Networks under Channel Uncertainties
Abstract
Due to limited cooperation among users and erratic nature of wireless channel, it is difficult for secondary users (SUs) to obtain exact values of system parameters, which may lead to severe interference to primary users (PUs) and cause communication interruption for SUs. In this paper, we study robust power control problem for spectrum underlay cognitive radio networks with multiple SUs and PUs under channel uncertainties. Precisely, our objective is to minimize total transmit power of SUs under the constraints that the satisfaction probabilities of both interference temperature of PUs and signal-to-interference-plus-noise ratio of SUs exceed some thresholds. With knowledge of statistical distribution of fading channel, probabilistic constraints are transformed into closed forms. Under a weighted interference temperature constraint, a globally distributed power control iterative algorithm with forgetting factor to increase convergence speed is obtained by dual decomposition methods. Numerical results show that our proposed algorithm outperforms worst case method and non-robust method.
Year
DOI
Venue
2014
10.1007/s11277-014-1818-8
Wireless Personal Communications
Keywords
Field
DocType
cognitive radio network,probability constraints,robust power control,spectrum underlay
Mathematical optimization,Transmitter power output,Wireless,Simulation,Iterative method,Computer science,Fading,Power control,Communication channel,Real-time computing,Probabilistic logic,Cognitive radio
Journal
Volume
Issue
ISSN
78
2
1572-834X
Citations 
PageRank 
References 
2
0.38
24
Authors
2
Name
Order
Citations
PageRank
Yongjun Xu115835.23
Xiaohui Zhao28715.89