Robust beamforming for D2D multicast communication

In this paper, beamforming for device-to-device multicast communication under channel uncertainty arising from incomplete channel state information is considered. The problem is first formulated as a non-robust minimization problem subject to signal-to-interference-plus-noise ratio, transmit power a...

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Bibliographic Details
Published inPhysical communication Vol. 43; p. 101217
Main Authors Uyoata, Uyoata, Mwangama, Joyce, Dlodlo, Mqhele
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2020
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Summary:In this paper, beamforming for device-to-device multicast communication under channel uncertainty arising from incomplete channel state information is considered. The problem is first formulated as a non-robust minimization problem subject to signal-to-interference-plus-noise ratio, transmit power and interference constraints. Using semi-definite programming relaxation, a tractable convex robust counterpart of the beamforming problem was then formulated. Cases of deterministic and probabilistic interference constraints were considered. To simplify the probabilistic constraint, a cumulative distribution function substitution was used. The results show that the channel uncertainty error affects the optimal beamforming vector compared to the negligible effect of the probabilistic constraint.
ISSN:1874-4907
1876-3219
DOI:10.1016/j.phycom.2020.101217