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