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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20973

Title: Base station beamforming technique using multiple signal-to-interference plus noise ratio balancing criteria
Authors: Bournaka, Georgia
Rahulamathavan, Yogachandran
Cumanan, Kanapathippillai
Lambotharan, Sangarapillai
Lazarakis, Fotis
Keywords: Beamforming
Spatial diversity
Multipoint techniques
Issue Date: 2015
Publisher: © IET
Citation: BOURNAKA, G. ... et al., 2015. Base station beamforming technique using multiple signal-to-interference plus noise ratio balancing criteria. IET Signal Processing, 9 (3), pp. 248-259.
Abstract: We propose a coordinated multicell beamforming technique for signal to interference plus noise ratio (SINR) balancing under multiple base station (BS) power constraints. Instead of balancing SINR of all users in all cells to the same level, we propose a new approach to balance SINR of users in various cells to different maximum possible values. This has the ability to allow users in cells with relatively more transmit power or better channel condition to achieve a higher balanced SINR than that achieved by users in the worst case cells. This multi-level SINR balancing problem is solved using SINR constraints based SINR balancing criterion and subgradient method. The simulation results support the optimality of the results through comparison to semidefinite programming (SDP) based optimization.
Version: Accepted for publication
DOI: 10.1049/iet-spr.2013.0497
URI: https://dspace.lboro.ac.uk/2134/20973
Publisher Link: http://dx.doi.org/10.1049/iet-spr.2013.0497
ISSN: 1751-9675
Appears in Collections:Published Articles (Loughborough University London)

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