DocumentCode :
2368625
Title :
Optimal power allocation for OFDM-based cooperative relay cognitive radio networks
Author :
Wang, Shaowei ; Huang, Fangjiang ; Ge, Mengyao ; Wang, Chonggang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1651
Lastpage :
1655
Abstract :
Cognitive radio (CR) network with cooperative relay is potentially a promising technique to solve current spectrum inefficiency and spectrum scarcity problem. In this paper, we study the power allocation in cognitive radio (CR) networks with cooperative relay. The interference to the licensed primary system and the power budget of the CR network are jointly considered. The resulting model is general and the formulated optimization task generally hard to solve. To deal with the intractable coupling variables in the concerned problem, we propose an alternating optimization method, which can work out the optimal solution in an iteration manner and converges rapidly. Experiment results show that our proposed method can significantly increase system capacity, comparing with other representative ones. Furthermore, the proposed method gives a general power optimization framework for CR networks with cooperative relay and can be extended to other scenarios easily.
Keywords :
channel allocation; cognitive radio; convergence; cooperative communication; diversity reception; frequency allocation; interference suppression; iterative methods; optimisation; OFDM; cognitive radio network; convergence; cooperative relay; interference suppression; intractable coupling variable; iteration method; licensed primary system; optimal power allocation; optimization; power budget; spectrum inefficiency; spectrum scarcity problem; Cognitive radio; Interference; OFDM; Optimization; Relays; Resource management; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6363945
Filename :
6363945
Link To Document :
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