Abstract | ||
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In this paper, we design downlink (DL) beamforming vectors for a multiuser multicell cognitive radio (CR) network with imperfect channel state information (CSI) at base stations (BS). Specifically, we consider deterministic error in both channel gain and channel covariance. Our objective is to minimize the total DL transmit power subject to quality of service (QoS) constraints of each secondary user (SU) and primary user (PU). The optimization problems for both uncertainty models can be transformed into convex semidefinite programming (SDP) from the standard rank relaxation approach. Interestingly, numerical results show that the obtained solutions fulfill the rank constraint and are therefore exact. © 2013 IEEE. |
Year | DOI | Venue |
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2013 | 10.1109/PIMRC.2013.6666230 | PIMRC |
Keywords | Field | DocType |
array signal processing,cellular radio,cognitive radio,convex programming,multiuser channels,quality of service,radio links,relaxation theory,vectors,wireless channels,BS,CR network,CSI,DL,PU,QoS,SDP,SU,base station,channel covariance,convex semidefinite programming,deterministic error,imperfect channel state information,multiuser multicell cognitive radio network,optimization problem,primary user,quality of service,robust coordinated downlink beamforming,secondary user,standard rank relaxation approach,vector | Radio resource management,Base station,Beamforming,Mathematical optimization,Transmitter power output,Computer science,Convex optimization,Semidefinite programming,Telecommunications link,Cognitive radio | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dhananjaya Ponukumati | 1 | 17 | 1.74 |
Feifei Gao | 2 | 3093 | 212.03 |
Mathias Bode | 3 | 43 | 6.30 |
James C. F. Li | 4 | 167 | 10.94 |
Ming Lei | 5 | 369 | 31.97 |