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