Paper Info
Title
Robust beamforming for relay-aided multiuser MIMO cognitive radio networks
Abstract
This paper studies robust beamforming design in a relay-assisted multiuser multi-antenna cognitive radio (CR) network that coexists with a primary radio (PR) system via opportunistic spectrum sharing (OSS). The robustness is with respect to imperfect channel knowledge at transmitter. Since the CR-to-PR interference needs to be carefully mitigated in OSS, the recently developed cognitive beamforming (CB) technique is employed by CR base station (BS), CR relay station (RS), and secondary receivers (SRs). Meanwhile, joint CR-BS and CR-RS transmit precoding is adopted to solve the weighted sum rate maximization (WSRM) problem. To cope with the non-convex problem, we apply the classic altering optimization process, namely the Blahut-Arimoto algorithm. Interestingly, it is shown that within each iterative step, we solely need to treat some semidefinite programming (SDP) subproblems with linear matrix inequalities (LMIs), which can be efficiently solved by standard convex optimization methods. Numerical results demonstrate significant performance gain of our approach over non-robust beamforming strategy.
Year
DOI
Venue
2013
10.1109/WCNC.2013.6554949
WCNC
Keywords
Field
DocType
relay networks (telecommunication),semidefinite programming subproblems,oss,lmi,relay-assisted multiuser multiantenna cr network,cb technique,blahut-arimoto algorithm,opportunistic spectrum sharing,radiofrequency interference,relay-aided multiuser mimo cognitive radio networks,cr relay station,precoding,transmitter,convex optimization methods,joint cr-bs,cognitive radio,secondary receivers,pr system,antenna arrays,nonconvex problem,cr-to-pr interference,array signal processing,radio spectrum management,iterative method,imperfect channel knowledge,concave programming,mimo communication,robust beamforming design,primary radio system,weighted sum rate maximization problem,cognitive beamforming technique,linear matrix inequalities,sdp subproblems,altering optimization process,cr base station,cr-rs transmit precoding,wsrm problem,iterative methods,network coding,nonrobust beamforming strategy,robustness,optimization,mimo,interference,lead
Transmitter,Beamforming,Base station,Mathematical optimization,Computer science,MIMO,Robustness (computer science),Semidefinite programming,Precoding,Cognitive radio
Conference
Volume
Issue
ISSN
null
null
1525-3511 E-ISBN : 978-1-4673-5937-5
ISBN
Citations 
PageRank 
978-1-4673-5937-5
6
0.43
References 
Authors
7
5
Name
Order
Citations
PageRank
Tianxiang Luan1322.40
Feifei Gao23093212.03
Xianda Zhang380968.13
James C. F. Li416710.94
Ming Lei536931.97