Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm

Next-generation cellular networks and beyond are expected to adopt a frequency reuse factor of one to support high spectral efficiency. Consequently, inter-cell interference (ICI) represents a serious issue among neighbouring cells, especially for cell-edge users. In addressing this, joint transmiss...

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Main Authors: Faisal, Ali Raed, Hashim, Fazirulhisyam, Noordin, Nor Kamariah, Ismail, Mahamod, Jamalipour, Abbas
Format: Article
Language:English
Published: Elsevier 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54127/1/Efficient%20beamforming%20and%20spectral%20efficiency%20maximization%20in%20a%20joint%20transmission%20.pdf
http://psasir.upm.edu.my/id/eprint/54127/
https://www.sciencedirect.com/science/article/pii/S1568494616304689
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spelling my.upm.eprints.541272018-02-28T09:12:25Z http://psasir.upm.edu.my/id/eprint/54127/ Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm Faisal, Ali Raed Hashim, Fazirulhisyam Noordin, Nor Kamariah Ismail, Mahamod Jamalipour, Abbas Next-generation cellular networks and beyond are expected to adopt a frequency reuse factor of one to support high spectral efficiency. Consequently, inter-cell interference (ICI) represents a serious issue among neighbouring cells, especially for cell-edge users. In addressing this, joint transmission (JT) represents one of the most sophisticated techniques for mitigating ICI stemming from implementing a frequency reuse factor of one. Moreover, JT also converts the interfering signals into useful signals to improve the spectral efficiency of the system. However, JT produces enormous overhead on both the feedback and backhaul interfaces; thus, partial JT was proposed as a trade-off between signaling demand and increased spectral efficiency. Maintaining an efficient beamforming (BF) matrix based on a sparse aggregated channel matrix is a challenging issue with regard to linear BF techniques such as zero-forcing (ZF). This is mainly because ZF BF can only invert a well-conditioned matrix. Therefore, an adaptive particle swarm optimization (APSO) is included in this paper and used to present an efficient beamformer that achieves equivalent backhaul reduction and high spectral efficiency. Moreover, addressing the lack-of-diversity issue in basic particle swarm optimization (BPSO) is a primary concern of this work. The beamformer obtained with the objective function of sum rate maximization achieves a spectral efficiency of 17.24% compared to BPSO BF. Elsevier 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54127/1/Efficient%20beamforming%20and%20spectral%20efficiency%20maximization%20in%20a%20joint%20transmission%20.pdf Faisal, Ali Raed and Hashim, Fazirulhisyam and Noordin, Nor Kamariah and Ismail, Mahamod and Jamalipour, Abbas (2016) Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm. Applied Soft Computing, 49. pp. 759-769. ISSN 1568-4946; ESSN: 1872-9681 https://www.sciencedirect.com/science/article/pii/S1568494616304689 10.1016/j.asoc.2016.09.009
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Next-generation cellular networks and beyond are expected to adopt a frequency reuse factor of one to support high spectral efficiency. Consequently, inter-cell interference (ICI) represents a serious issue among neighbouring cells, especially for cell-edge users. In addressing this, joint transmission (JT) represents one of the most sophisticated techniques for mitigating ICI stemming from implementing a frequency reuse factor of one. Moreover, JT also converts the interfering signals into useful signals to improve the spectral efficiency of the system. However, JT produces enormous overhead on both the feedback and backhaul interfaces; thus, partial JT was proposed as a trade-off between signaling demand and increased spectral efficiency. Maintaining an efficient beamforming (BF) matrix based on a sparse aggregated channel matrix is a challenging issue with regard to linear BF techniques such as zero-forcing (ZF). This is mainly because ZF BF can only invert a well-conditioned matrix. Therefore, an adaptive particle swarm optimization (APSO) is included in this paper and used to present an efficient beamformer that achieves equivalent backhaul reduction and high spectral efficiency. Moreover, addressing the lack-of-diversity issue in basic particle swarm optimization (BPSO) is a primary concern of this work. The beamformer obtained with the objective function of sum rate maximization achieves a spectral efficiency of 17.24% compared to BPSO BF.
format Article
author Faisal, Ali Raed
Hashim, Fazirulhisyam
Noordin, Nor Kamariah
Ismail, Mahamod
Jamalipour, Abbas
spellingShingle Faisal, Ali Raed
Hashim, Fazirulhisyam
Noordin, Nor Kamariah
Ismail, Mahamod
Jamalipour, Abbas
Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
author_facet Faisal, Ali Raed
Hashim, Fazirulhisyam
Noordin, Nor Kamariah
Ismail, Mahamod
Jamalipour, Abbas
author_sort Faisal, Ali Raed
title Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
title_short Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
title_full Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
title_fullStr Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
title_full_unstemmed Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
title_sort efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
publisher Elsevier
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/54127/1/Efficient%20beamforming%20and%20spectral%20efficiency%20maximization%20in%20a%20joint%20transmission%20.pdf
http://psasir.upm.edu.my/id/eprint/54127/
https://www.sciencedirect.com/science/article/pii/S1568494616304689
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