Diffusion PSO-LMS Adaptation over Networks

Sameer H. Arastu; Naveed Iqbal; Muhammad O. Bin Saeed; Azzedine Zerguine

doi:10.1109/IEEECONF51394.2020.9443530

Diffusion PSO-LMS Adaptation over Networks

Sameer H. Arastu, Naveed Iqbal, Muhammad O. Bin Saeed, Azzedine Zerguine

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

2 Scopus citations

Abstract

A hybrid diffusion scheme, PSO-LMS, combining a particle swarm optimization (PSO) strategy and the least-mean square (LMS) algorithm, is developed here to optimize cost functions in a cooperative manner over networks, with a specific focus on channel estimation. The PSO component, through its built-in diffusion process, enhances the proposed scheme's ability to quickly locate the region containing the global minimum, thus enabling the LMS to take over and exploit both the temporal and spatial diversity of the data so as to quickly hone in on the global minimum. Simulation results illustrate the improved performance of this hybrid scheme over both non-cooperative and other hybrid strategies.

Original language	English
Title of host publication	Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	1538-1541
Number of pages	4
ISBN (Electronic)	9780738131269
DOIs	https://doi.org/10.1109/IEEECONF51394.2020.9443530
State	Published - 1 Nov 2020

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2020-November
ISSN (Print)	1058-6393

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

LMS
diffusion adaptation
network
particle swarm optimization

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/IEEECONF51394.2020.9443530

Cite this

Arastu, S. H., Iqbal, N., Bin Saeed, M. O., & Zerguine, A. (2020). Diffusion PSO-LMS Adaptation over Networks. In M. B. Matthews (Ed.), Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 (pp. 1538-1541). Article 9443530 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2020-November). IEEE Computer Society. https://doi.org/10.1109/IEEECONF51394.2020.9443530

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abstract = "A hybrid diffusion scheme, PSO-LMS, combining a particle swarm optimization (PSO) strategy and the least-mean square (LMS) algorithm, is developed here to optimize cost functions in a cooperative manner over networks, with a specific focus on channel estimation. The PSO component, through its built-in diffusion process, enhances the proposed scheme's ability to quickly locate the region containing the global minimum, thus enabling the LMS to take over and exploit both the temporal and spatial diversity of the data so as to quickly hone in on the global minimum. Simulation results illustrate the improved performance of this hybrid scheme over both non-cooperative and other hybrid strategies.",

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author = "Arastu, {Sameer H.} and Naveed Iqbal and {Bin Saeed}, {Muhammad O.} and Azzedine Zerguine",

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Arastu, SH, Iqbal, N, Bin Saeed, MO & Zerguine, A 2020, Diffusion PSO-LMS Adaptation over Networks. in MB Matthews (ed.), Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020., 9443530, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2020-November, IEEE Computer Society, pp. 1538-1541. https://doi.org/10.1109/IEEECONF51394.2020.9443530

Diffusion PSO-LMS Adaptation over Networks. / Arastu, Sameer H.; Iqbal, Naveed; Bin Saeed, Muhammad O. et al.
Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. ed. / Michael B. Matthews. IEEE Computer Society, 2020. p. 1538-1541 9443530 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2020-November).

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

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AB - A hybrid diffusion scheme, PSO-LMS, combining a particle swarm optimization (PSO) strategy and the least-mean square (LMS) algorithm, is developed here to optimize cost functions in a cooperative manner over networks, with a specific focus on channel estimation. The PSO component, through its built-in diffusion process, enhances the proposed scheme's ability to quickly locate the region containing the global minimum, thus enabling the LMS to take over and exploit both the temporal and spatial diversity of the data so as to quickly hone in on the global minimum. Simulation results illustrate the improved performance of this hybrid scheme over both non-cooperative and other hybrid strategies.

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Arastu SH, Iqbal N, Bin Saeed MO, Zerguine A. Diffusion PSO-LMS Adaptation over Networks. In Matthews MB, editor, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. IEEE Computer Society. 2020. p. 1538-1541. 9443530. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/IEEECONF51394.2020.9443530

Diffusion PSO-LMS Adaptation over Networks

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this