NDLI: Robust beamforming in two-way relay networks: Quartically perturbed chance constrained formulation and tractable approximation

Content Provider	IEEE Xplore Digital Library
Author	Shuai Ma So, A.M.-C. Kehu Yang
Copyright Year	2014
Description	Author affiliation: Dept. of Sys. Eng. & Eng. Mgmt., Chinese Univ. of Hong Kong, Hong Kong, China (So, A.M.-C.) \|\| ISN Lab., Xidian Univ., Xi'an, China (Shuai Ma; Kehu Yang)
Abstract	In this paper, we consider an outage-based robust beamforming problem in two-way relay networks under the imperfect channel state information (CSI) scenario. Specficially, our goal is to minimize the relay transmit power while keeping the probability of each user's signal-to-interference-plus-noise ratio (SINR) outage as caused by the imperfect CSI below a given threshold. Assuming that the CSI errors follow a complex Gaussian distribution, the probabilistic SINR constraints involve quartic polynomials of complex Gaussian random variables, which, to the best of our knowledge, have not been treated from a computational perspective before. Using moment inequalities for Gaussian polynomials and the semidefinite relaxation technique, we propose a new tractable approximation approach for tackling such constraints. Simulation results show that the proposed method outperforms the existing robust approaches when the CSI errors are large.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	2734
Ending Page	2738
File Size	199856
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854097
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Interference Robustness Array signal processing Approximation methods Relay networks (telecommunications) semidefinite relaxation Two-way relaying robust beamforming chance constrained optimization
Content Type	Text
Resource Type	Article

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