DocumentCode
38432
Title
A Bandwidth-Efficient Cognitive Radio With Two-Path Amplify-and-Forward Relaying
Author
Abd El-Malek, Ahmed H. ; Zummo, Salam A.
Author_Institution
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume
4
Issue
1
fYear
2015
fDate
Feb. 2015
Firstpage
66
Lastpage
69
Abstract
This letter introduces a new cognitive radio system employing the two-path amplify-and-forward relaying scheme. In the proposed system, the primary user (PU) transmitter cooperates with the secondary user (SU) transmitter and receiver to relay PU data to the PU destination. The proposed algorithm makes use of the interrelay interference (IRI) between the two relay nodes to transmit SU data and minimize their IRI effect on the PU destination. Two optimization problems are formulated to find optimal power allocation between SU transmission and relaying amplifying factors: one to minimize the probability of error and the other one to maximize the average achievable rate. Simulation results show that the proposed algorithm outperforms the single data transmission and the existing two-path relaying scheme. In addition, the PU network achieves a diversity order of 3, when a maximum-likelihood decoder is used, whereas the SU network achieves a diversity order of 2.
Keywords
amplify and forward communication; cognitive radio; diversity reception; error statistics; interference (signal); maximum likelihood decoding; radio receivers; radio transmitters; relay networks (telecommunication); PU destination; PU network; PU transmitter; SU network; SU transmitter; bandwidth-efficient cognitive radio; cognitive radio system; error probability; interrelay interference; maximum-likelihood decoder; optimal power allocation; primary user transmitter; secondary user transmitter; single data transmission; two-path amplify-and-forward relaying; Bandwidth; Bit error rate; Data models; Optimization; Protocols; Relays; Resource management; Cognitive radio; Lagrangian multiplier; amplify-and-forward; cooperative communication; maximum likelihood detection; power allocation;
fLanguage
English
Journal_Title
Wireless Communications Letters, IEEE
Publisher
ieee
ISSN
2162-2337
Type
jour
DOI
10.1109/LWC.2014.2370034
Filename
6954498
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