DocumentCode :
112581
Title :
Optimal power allocation for multiple input single output cognitive radios with antenna selection strategies
Author :
Fuhui Zhou ; Zan Li ; Jiangbo Si ; Boyang Liu ; Haiyan Huang
Author_Institution :
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´an, China
Volume :
9
Issue :
10
fYear :
2015
fDate :
7 2 2015
Firstpage :
1337
Lastpage :
1345
Abstract :
The opportunistic spectrum access technology is one of the most promising methods for alleviating the spectrum scarcity problem, which enables a secondary user (SU) to utilise a primary user spectrum band that is detected idle. However, the throughput achieved by cognitive radios is limited by the interference constraint imposing on the SU. Multiple input single output antenna techniques and antenna selection (AS) techniques are exploited to combat the interference constraint and improve the achievable average throughput of the SU. The optimal power allocation strategy is proposed to maximise the achievable average throughput. Performance analyses for the achievable average throughputs are performed under the maximum channel gain AS strategy, the minimum interference channel gain AS strategy and the ratio AS strategy. It is proved that the optimal transmitted AS strategy is the ratio AS strategy when the optimal power allocation strategy is used. The optimal sensing parameters are designed to further improve the maximum average throughput. Extensive simulation results are conducted to verify this analysis.
Keywords :
MIMO communication; antenna arrays; cognitive radio; radio spectrum management; radiofrequency interference; signal detection; wireless channels; SU; maximum average throughput; maximum channel gain AS strategy; minimum interference channel gain AS strategy; multiple input single output antenna selection technique; multiple input single output cognitive radio; opportunistic spectrum access technology; optimal power allocation strategy; optimal sensing parameter; primary user spectrum band; secondary user; spectrum scarcity problem;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2014.0939
Filename :
7137694
Link To Document :
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