Paper Info
Title
Rate Maximization and Beamforming Design for Relay-Aided Multiuser Cognitive Networks.
Abstract
This paper studies the rate maximization problem and designs the beamforming strategy for relay-aided multiuser multiantenna cognitive radio (CR) network that coexists with a primary radio (PR) system via opportunistic spectrum sharing (OSS). The beamforming is characterized by two layers: 1) Cognitive beamforming (CB) is employed by CR base station (BS), CR relay station (RS), and secondary users (SUs) to mitigate the interference to and from the PR. 2) Joint CR-BS and CR-RS beamforming is used to maximize the weighted sum rate of the SUs. Since the optimization turns out to be nonconvex, we apply the classic Blahut-Arimoto algorithm and solve the original problem through an iterative approach. Interestingly, each iterative step involves only convex optimizations whose closed forms can be found. Moreover, we derive an upper bound for the sum rate to assist system analysis. Numerical results show that the proposed approach achieves higher performance, compared with the widely studied diagonally structured beamformer design. © 2012 IEEE.
Year
DOI
Venue
2012
10.1109/TVT.2012.2184312
IEEE T. Vehicular Technology
Keywords
Field
DocType
Interference,Array signal processing,Relays,Vectors,Convergence,Argon,Joints
Beamforming,Base station,Mathematical optimization,Computer science,Iterative method,Electronic engineering,Convex optimization,Relay,Maximization,Cognitive network,Cognitive radio
Journal
Volume
Issue
ISSN
61
4
0018-9545
Citations 
PageRank 
References 
11
0.63
8
Authors
5
Name
Order
Citations
PageRank
Tianxiang Luan1322.40
Feifei Gao23093212.03
Xianda Zhang380968.13
James C. F. Li416710.94
Ming Lei536931.97