Multicasting MIMO relay optimization based on min-max MSE criterion

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Abstract

In this paper, we consider a multicasting multiple-input multiple-output (MIMO) relay system where the transmitter multicasts a common message to multiple receivers with the aid of a relay node, all equipped with multiple antennas. Given the power constraints at the source and the relay nodes, we aim at minimizing the maximal mean-squared error (MSE) of the signal waveform estimation among the destination nodes through joint source, relay, and receiver matrices optimization. We provide a low complexity solution to this highly nonconvex optimization problem. In particular, we show that under the (moderately) high signal-to-noise ratio (SNR) assumption, the joint source and relay optimization problem can be solved using standard semidefinite programming (SDP) technique. Numerical simulations provided demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Communication Systems (ICCS)
Pages16-20
Number of pages5
ISBN (Electronic)9781467320542
DOIs
Publication statusPublished - 11 Jan 2013
Event2012 IEEE International Conference on Communication Systems - Singapore, Singapore
Duration: 21 Nov 201223 Nov 2012

Conference

Conference2012 IEEE International Conference on Communication Systems
Abbreviated titleICCS 2012
CountrySingapore
CitySingapore
Period21/11/1223/11/12

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Khandaker, M. R. A., & Rong, Y. (2013). Multicasting MIMO relay optimization based on min-max MSE criterion. In 2012 IEEE International Conference on Communication Systems (ICCS) (pp. 16-20) https://doi.org/10.1109/ICCS.2012.6406100