A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

B. Li; H.H. Dam; K.L. Teo; Antonio Cantoni

doi:10.1109/ICASSP.2015.7178537

A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

B. Li, H.H. Dam, K.L. Teo, Antonio Cantoni

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

5 Citations (Scopus)

Abstract

© 2015 IEEE. Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3078-3082
Volume	2015-August
ISBN (Print)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178537
Publication status	Published - 2015
Event	A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints - South Brisbane, QLD Duration: 1 Jan 2015 → …

Conference

Conference	A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints
Period	1/01/15 → …

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Li, B., Dam, H. H., Teo, K. L., & Cantoni, A. (2015). A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2015-August, pp. 3078-3082). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2015.7178537

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title = "A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints",

abstract = "{\textcopyright} 2015 IEEE. Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.",

author = "B. Li and H.H. Dam and K.L. Teo and Antonio Cantoni",

year = "2015",

doi = "10.1109/ICASSP.2015.7178537",

language = "English",

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volume = "2015-August",

pages = "3078--3082",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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address = "United States",

note = "A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints ; Conference date: 01-01-2015",

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Li, B, Dam, HH, Teo, KL & Cantoni, A 2015, A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2015-August, IEEE, Institute of Electrical and Electronics Engineers, pp. 3078-3082, A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints, 1/01/15. https://doi.org/10.1109/ICASSP.2015.7178537

A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints. / Li, B.; Dam, H.H.; Teo, K.L. et al.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 3078-3082.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

AU - Li, B.

AU - Dam, H.H.

AU - Teo, K.L.

AU - Cantoni, Antonio

PY - 2015

Y1 - 2015

N2 - © 2015 IEEE. Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.

AB - © 2015 IEEE. Zero-forcing beamforming (ZFBF) is a popular pre-coding scheme for MIMO systems. Most of the studies in the literature are under total power constraints. However, the perantenna power constraints (PAPC) are more realistic. The state-of-the-art method is interior point method which is expensive to realize in practice due to the high computational complexity. Hence, a low complexity zero-forcing precoding scheme under the per-antenna power constraints is proposed in this paper. This is achieved by introducing a regularized dual method. Simulations are carried out to show the effectiveness of the proposed method, which has a low computational complexity. In addition, the algorithm can be implemented in parallel to further reduce the computational complexity.

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DO - 10.1109/ICASSP.2015.7178537

M3 - Conference paper

SN - 9781467369978

VL - 2015-August

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EP - 3082

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

Y2 - 1 January 2015

ER -

A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

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