Robust cognitive beamforming for cell-edge coverage in multicell networks with probabilistic constraints

Conference paper

Zarrebini-Esfahani, A., Le, T. and Nakhai, M. 2013. Robust cognitive beamforming for cell-edge coverage in multicell networks with probabilistic constraints. 2013 IEEE Global Communications Conference (GLOBECOM). Atlanta, GA, USA 09 - 13 Dec 2013 IEEE. pp. 1253-1258 https://doi.org//10.1109/GLOCOM.2013.6831246
TypeConference paper
TitleRobust cognitive beamforming for cell-edge coverage in multicell networks with probabilistic constraints
AuthorsZarrebini-Esfahani, A., Le, T. and Nakhai, M.
Abstract

In this paper, we introduce a downlink beamforming strategy in a cognitive cell located at the boarder of two adjacent cells of a multicell network to support the local cell-edge users of both cells. The proposed strategy is formulated as an optimization problem to minimize a linear combination of total transmit power of the cognitive base station (BS) and the resulting total interference on the other users located outside of the cognitive cell, so that the signal-to-interference-plus-noise ratio (SINR) targets of the cell-edge users are maintained. In a realistic scenario where CSI may be imperfect, the beamforming design for the cognitive BS based on perfect channel state information (CSI) can easily end up violating the tolerable interference levels of the users falling outside of the cognitive cell. We reformulate the proposed strategy as a robust optimization problem with outage-probability based constraints to account for the imperfection in CSI. Using the S-Procedure, we transform the intractable probabilistic constraints to a computationally tractable set of conservative deterministic constraints. Finally, applying the rank relaxation, we rewrite the resulting problem in semidefinite programming (SDP) form that can be solved using the standard convex optimization packages. The simulation results confirm the effectiveness of the proposed robust scheme in power-efficiently expanding the range of achievable SINR targets for the cell-edge users.

KeywordsRobust beamforming; S-Procedure; convex optimization
Conference2013 IEEE Global Communications Conference (GLOBECOM)
Page range1253-1258
Proceedings Title2013 IEEE Global Communications Conference (GLOBECOM)
SeriesIEEE Global Communications Conference
ISSN1930-529X
Electronic2576-764X
ISBN
Hardcover9781479913534
PublisherIEEE
Publication dates
Print09 Dec 2013
Online12 Jun 2014
Publication process dates
Deposited05 Jun 2015
Output statusPublished
Digital Object Identifier (DOI)https://doi.org//10.1109/GLOCOM.2013.6831246
Web of Science identifierWOS:000357299601055
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/6821297/proceeding
LanguageEnglish
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