Transceiver optimization for MIMO multi-relay systems using projected gradient approach

Apriana Toding; Muhammad R. A. Khandaker; Yue Rong

Transceiver optimization for MIMO multi-relay systems using projected gradient approach

Apriana Toding, Muhammad R. A. Khandaker, Yue Rong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.

Original language	English
Title of host publication	2014 International Symposium on Information Theory and its Applications
Publisher	IEEE
Pages	635-639
Number of pages	5
ISBN (Electronic)	9784885522925
Publication status	Published - 11 Dec 2014
Event	2014 International Symposium on Information Theory and Its Applications - Melbourne, Australia Duration: 26 Oct 2014 → 29 Oct 2014

Conference

Conference	2014 International Symposium on Information Theory and Its Applications
Abbreviated title	ISITA 2014
Country/Territory	Australia
City	Melbourne
Period	26/10/14 → 29/10/14

Keywords

beamforming
MIMO relay
non-regenerative relay
parallel relay network
projected gradient

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Cite this

@inproceedings{6683f5bc0f184154a0f2890f4f672593,

title = "Transceiver optimization for MIMO multi-relay systems using projected gradient approach",

abstract = "In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.",

keywords = "beamforming, MIMO relay, non-regenerative relay, parallel relay network, projected gradient",

author = "Apriana Toding and Khandaker, {Muhammad R. A.} and Yue Rong",

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language = "English",

pages = "635--639",

booktitle = "2014 International Symposium on Information Theory and its Applications",

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T1 - Transceiver optimization for MIMO multi-relay systems using projected gradient approach

AU - Toding, Apriana

AU - Khandaker, Muhammad R. A.

AU - Rong, Yue

PY - 2014/12/11

Y1 - 2014/12/11

N2 - In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.

AB - In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.

KW - beamforming

KW - MIMO relay

KW - non-regenerative relay

KW - parallel relay network

KW - projected gradient

UR - http://www.scopus.com/inward/record.url?scp=84920522239&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84920522239

SP - 635

EP - 639

BT - 2014 International Symposium on Information Theory and its Applications

PB - IEEE

T2 - 2014 International Symposium on Information Theory and Its Applications

Y2 - 26 October 2014 through 29 October 2014

ER -

Transceiver optimization for MIMO multi-relay systems using projected gradient approach

Abstract

Conference

Keywords

ASJC Scopus subject areas

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