DocumentCode :
2040383
Title :
Worst-case weighted sum-rate maximization for MISO downlink systems with imperfect channel knowledge
Author :
Wijewardhana, U.L. ; Joshi, S. ; Codreanu, M. ; Latva-aho, Matti
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
1248
Lastpage :
1252
Abstract :
We consider the worst-case weighted sum-rate maximization (WSRMax) problem under imperfect channel state information (CSI) in multicell downlink multiple-input singleoutput systems. The problem is known to be NP-hard even for the perfect CSI case. We propose a solution method, based on semi-definite relaxation (SDR) and branch and bound technique, which solves globally the noncovex robust WSRMax problem with an optimality certificate. Novel bounding technique based on SDR is proposed.
Keywords :
cellular radio; computational complexity; optimisation; telecommunication channels; tree searching; CSI case; MISO downlink systems; NP-hard; bounding technique; branch and bound technique; imperfect channel knowledge; imperfect channel state information; multicell downlink multiple-input singleoutput systems; noncovex robust WSRMax problem; semidefinite relaxation; worst-case weighted sum-rate maximization; Downlink; Interference; Receivers; Robustness; Signal to noise ratio; Uncertainty; Upper bound; Branch and bound; multicell networks; robust design; semi-definite programming; weighted sum-rate maximization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810493
Filename :
6810493
Link To Document :
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