Dirty paper coding based optimal MIMO relay communications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we address the optimal source and relay matrices design issue for a multiple-input multiple-output (MIMO) relay network using the dirty paper coding (DPC) scheme at the source node. The aim is to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. Using the property of uplink-downlink duality, the original DPC-based MIMO relay system is first converted to a dual system with a decision feedback equalizer (DFE) at the destination. Then we jointly optimize the source and relay matrices of the dual system. Finally the optimal source and relay matrices of the DPC-based system are obtained by exploiting the link between the source, relay, and destination matrices of the original and dual MIMO relay systems. Simulation results demonstrate that the proposed DPC-based MIMO relay system performs much better than the existing linear minimal MSE (MMSE)-based relaying approach in terms of bit-error-rate.

Original languageEnglish
Title of host publication2010 16th Asia-Pacific Conference on Communications (APCC)
PublisherIEEE
Pages291-296
Number of pages6
ISBN (Electronic)9781424481279
ISBN (Print)9781424481286
DOIs
Publication statusPublished - 6 Jan 2011
Event16th Asia-Pacific Conference on Communications 2010 - Auckland, New Zealand
Duration: 31 Oct 20103 Nov 2010

Conference

Conference16th Asia-Pacific Conference on Communications 2010
Abbreviated titleAPCC 2010
CountryNew Zealand
CityAuckland
Period31/10/103/11/10

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Dirty paper coding based optimal MIMO relay communications'. Together they form a unique fingerprint.

  • Cite this

    Khandaker, M. R. A., & Rang, Y. (2011). Dirty paper coding based optimal MIMO relay communications. In 2010 16th Asia-Pacific Conference on Communications (APCC) (pp. 291-296). IEEE. https://doi.org/10.1109/APCC.2010.5679719