DocumentCode :
684822
Title :
Optimal power allocation and relay selection for cognitive two-way AF relaying network
Author :
Ronghua Luo ; Zhen Yang
Author_Institution :
Key Lab. of Broadband Wireless Commun. & Sensor Network Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
1
Lastpage :
5
Abstract :
In an underlay cognitive two-way Amplify-and-Forward (AF) relaying network, secondary users (SUS) and primary user (PU) can share the licensed spectrum simultaneously under the interference threshold constraint. In this paper, the joint power allocation and optimal relay selection scheme is proposed for allocating radio resource on cognitive nodes effectively. For power allocation problem, the objective function is to maximize the achieved minimum Signal to Interference plus Noise Ratio (SINR) at SUS, and the constraints include the total transmit power of cognitive nodes and PU interference threshold, the optimal power allocation algorithm and a simple distributed power allocation algorithm are proposed. Furthermore, based on these results, an optimal two-way relay selection scheme is proposed. Simulation results show that the proposed joint power allocation algorithms and relay selection scheme can achieve excellent system performance.
Keywords :
amplify and forward communication; cognitive radio; optimisation; relay networks (telecommunication); resource allocation; PU; SINR; SUS; cognitive nodes; distributed power allocation algorithm; interference threshold constraint; licensed spectrum; optimal power allocation scheme; optimal relay selection scheme; optimal two-way relay selection scheme; primary user; radio resource allocation; secondary users; signal to interference plus noise ratio; underlay cognitive two-way amplify-and-forward relaying network; Cognitive two-way AF relaying; Interference threshold; Power allocation; Relay selection;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
Type :
conf
DOI :
10.1049/cp.2012.2408
Filename :
6755787
Link To Document :
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