Optimal joint source and relay beamforming for parallel MIMO relay networks

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

doi:10.1109/WICOM.2010.5600693

Optimal joint source and relay beamforming for parallel MIMO relay networks

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

^*Corresponding author for this work

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

15 Citations (Scopus)

Abstract

In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. We show that both the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using the optimal structure, a joint source and relay power loading algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithm has a significant improvement in the system bit-error-rate performance.

Original language	English
Title of host publication	2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)
Publisher	IEEE
ISBN (Electronic)	9781424437092
ISBN (Print)	9781424437085
DOIs	https://doi.org/10.1109/WICOM.2010.5600693
Publication status	Published - 14 Oct 2010
Event	6th International Conference on Wireless Communications, Networking and Mobile Computing 2010 - Chengdu, China Duration: 23 Sept 2010 → 25 Sept 2010

Conference

Conference	6th International Conference on Wireless Communications, Networking and Mobile Computing 2010
Abbreviated title	WiCOM 2010
Country/Territory	China
City	Chengdu
Period	23/09/10 → 25/09/10

ASJC Scopus subject areas

Computer Networks and Communications
Communication

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10.1109/WICOM.2010.5600693

Cite this

@inproceedings{6965a2384afd4e7da75cca25107ebc25,

title = "Optimal joint source and relay beamforming for parallel MIMO relay networks",

abstract = "In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. We show that both the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using the optimal structure, a joint source and relay power loading algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithm has a significant improvement in the system bit-error-rate performance.",

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

year = "2010",

month = oct,

day = "14",

doi = "10.1109/WICOM.2010.5600693",

language = "English",

isbn = "9781424437085",

booktitle = "2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)",

publisher = "IEEE",

address = "United States",

note = "6th International Conference on Wireless Communications, Networking and Mobile Computing 2010, WiCOM 2010 ; Conference date: 23-09-2010 Through 25-09-2010",

}

Toding, A, Khandaker, MRA & Rong, Y 2010, Optimal joint source and relay beamforming for parallel MIMO relay networks. in 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)., 5600693, IEEE, 6th International Conference on Wireless Communications, Networking and Mobile Computing 2010, Chengdu, China, 23/09/10. https://doi.org/10.1109/WICOM.2010.5600693

TY - GEN

T1 - Optimal joint source and relay beamforming for parallel MIMO relay networks

AU - Toding, Apriana

AU - Khandaker, Muhammad R. A.

AU - Rong, Yue

PY - 2010/10/14

Y1 - 2010/10/14

N2 - In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. We show that both the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using the optimal structure, a joint source and relay power loading algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithm has a significant improvement in the system bit-error-rate performance.

AB - In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. We show that both the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using the optimal structure, a joint source and relay power loading algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithm has a significant improvement in the system bit-error-rate performance.

UR - http://www.scopus.com/inward/record.url?scp=78549238159&partnerID=8YFLogxK

U2 - 10.1109/WICOM.2010.5600693

DO - 10.1109/WICOM.2010.5600693

M3 - Conference contribution

AN - SCOPUS:78549238159

SN - 9781424437085

BT - 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)

PB - IEEE

T2 - 6th International Conference on Wireless Communications, Networking and Mobile Computing 2010

Y2 - 23 September 2010 through 25 September 2010

ER -

Optimal joint source and relay beamforming for parallel MIMO relay networks

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