DocumentCode
78043
Title
Optimal power allocation for asymmetric analogue network coding in cognitive radio
Author
Mi Hu ; Jianhua Ge ; Xiaoye Shi
Author_Institution
State Key Lab. of Integrated Service Networks (ISN), Xidian Univ., Xi´an, China
Volume
8
Issue
6
fYear
2014
fDate
April 17 2014
Firstpage
885
Lastpage
892
Abstract
In this study, the optimal power allocation (OPA) problem is studied for the two-way relay channel employing the analogue network coding protocol with the asymmetric traffic requirements in a cognitive radio network. The OPA scheme is proposed by maximising the sum-rate of the success delivery bit from the secondary user (SU) perspective subject to the sum-power constraint and the interference power threshold (IPT) constraints to the primary user (PU). In particular, for the purpose of accomplishing the power allocation more realistically, the interference to each other between the PU and the SU and the relay is taken into consideration and by solving the optimisation problem composed for each case, the closed form expressions of each node power are obtained. All the simulation results have demonstrated that the system with the proposed scheme outperforms the equal power allocation (EPA) scheme irrespective of the IPT. When the IPT constraint is introduced, the sum-rate of the success delivery bit of the SU communication converges to a certain level with the increasing total power. Meanwhile, the proposed strategy is superior to the conventional EPA scheme for any relay location, which is more remarkable when the relay is located on either end node regardless of the traffic symmetry or the asymmetry.
Keywords
cognitive radio; network coding; optimisation; radiofrequency interference; telecommunication traffic; analogue network coding protocol; asymmetric analogue network coding; cognitive radio; equal power allocation cheme; interference power threshold; optimal power allocation; optimisation problem; primary user; secondary user; traffic symmetry; two-way relay channel;
fLanguage
English
Journal_Title
Communications, IET
Publisher
iet
ISSN
1751-8628
Type
jour
DOI
10.1049/iet-com.2013.0691
Filename
6798002
Link To Document