Paper Info
Title
Robust coordinated downlink beamforming for multicell-cognitive radio networks with probabilistic constraints.
Abstract
In this paper, we design downlink (DL) beam-forming vectors for a multiuser multicell cognitive radio (CR) network with imperfect channel state information (CSI) at base stations (BS). Specifically, we model channel estimation error as a random vector with known statistical distribution. Our objective is to minimize the total DL transmit power subject to probabilistic quality of service (QoS) constraints of every secondary user (SU) and primary user (PU). Utilizing Bernsteintype inequalities [12], we replace the probabilistic constraints with conservative deterministic constraints. By applying rank relaxation, the original problem is reformulated as semidefinite programming (SDP). Interestingly, numerical results show that the obtained solutions fulfill the rank constraint. © 2012 IEEE.
Year
DOI
Venue
2012
10.1109/ICC.2012.6363856
ICC
Keywords
Field
DocType
array signal processing,channel estimation,cognitive radio,error statistics,multiuser channels,optimisation,quality of service,random processes,statistical distributions,BS,Bernstein type inequality,CR,CSI,DL transmit power,PU,QoS,SDP,SU,base station,channel state information,conservative deterministic constraint,coordinated downlink beamforming,model channel estimation error,multiuser multicell cognitive radio network,primary user,probabilistic constraint,quality of service,random vector,rank relaxation,secondary user,semidefinite programming,statistical distribution
Base station,Mathematical optimization,Transmitter power output,Computer science,Communication channel,Quality of service,Probabilistic logic,Semidefinite programming,Cognitive radio,Telecommunications link
Conference
Volume
Issue
ISSN
null
null
1550-3607
Citations 
PageRank 
References 
2
0.38
8
Authors
5
Name
Order
Citations
PageRank
Dhananjaya Ponukumati1171.74
Feifei Gao23093212.03
Mathias Bode3436.30
James C. F. Li416710.94
Ming Lei536931.97