Multi-group multicast beamformer design for MIMO-OFDM transmission

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Title: Multi-group multicast beamformer design for MIMO-OFDM transmission
Authors: Venkatraman, GaneshTolli, AnttiJuntti, MarkkuTran, Le-Nam
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Date: 20-May-2016
Online since: 2021-05-20T12:05:09Z
Abstract: We study the problem of designing multicast precoders for multiple groups with the objective of minimizing total transmit power under certain guaranteed quality-of-service (QoS) requirements. To avail both spatial and frequency diversity, we consider a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. The problem of interest is in fact a nonconvex quadratically constrained quadratic program (QCQP) for which the prevailing semidefinite relaxation (SDR) technique is inefficient for at least two reasons. At first, the relaxed problem cannot be equivalently reformulated as a semidefinite programming (SDP). Secondly, even if the relaxed problem is solved, the so-called randomization procedure should be used to generate a high quality feasible solution to the original QCQP. However, such a randomization procedure is difficult in the considered system model. To overcome these shortcomings, we adopt successive convex approximation (SCA) framework in this paper to find beamformers directly. The proposed method not only avoids the randomization procedure mentioned above but also requires lower computational complexity compared to the SDR approach. Numerical experiments are carried out to demonstrate the effectiveness of the proposed algorithm.
Funding Details: Academy of Finland
Type of material: Conference Publication
Publisher: VDE Verlag
Copyright (published version): 2016 VDE Verlag
Keywords: Coordinated beamformingMulti-input multi-output system (MIMO)Multicast precodersSuccessive convex approximation (SCA)
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Language: en
Status of Item: Peer reviewed
Is part of: European Wireless 2016; 22th European Wireless Conference: 18-20 May 2016
Conference Details: The 22nd European Wireless Conference, Oulu, Finland, 18-20 May 2016
ISBN: 9783800742219
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Appears in Collections:Electrical and Electronic Engineering Research Collection

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