Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network

Joint processing (JP) is a powerful mechanism in alleviating inter-cell interference (ICI) and maximizing data rate of cell-edge users. However, JP puts tremendous load on both feedback and backhaul overhead, thus partial JP was proposed to overcome high overhead signaling. Unlike linear techniques...

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Main Authors: Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2016
Online Access:http://psasir.upm.edu.my/id/eprint/56032/
http://psasir.upm.edu.my/id/eprint/56032/1/Internet%20utility%20evaluation%20of%20a%20multi-start%20particle%20swarm%20optimization%20beamformer%20in%20a%20partial%20joint%20processing%20cellular%20network.pdf
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author Faisal, Ali Raed
Hashim, Fazirulhisyam
Ismail, Mahamod
Noordin, Nor Kamariah
author_facet Faisal, Ali Raed
Hashim, Fazirulhisyam
Ismail, Mahamod
Noordin, Nor Kamariah
author_sort Faisal, Ali Raed
building UPM Institutional Repository
collection Online Access
description Joint processing (JP) is a powerful mechanism in alleviating inter-cell interference (ICI) and maximizing data rate of cell-edge users. However, JP puts tremendous load on both feedback and backhaul overhead, thus partial JP was proposed to overcome high overhead signaling. Unlike linear techniques such as zero-forcing (ZF), achieving an equivalent backhaul reduction and presenting a totally free ICI system based on limited feedback channel state information can be done by designing and implementing a multi-start particle swarm optimization algorithm (MSPSOA) as a beamforming (BF) mechanism. The performance of the proposed MSPSOA and ZF BF is evaluated based on the acquired spectral efficiency and utility of internet application such as hard real-time, adaptive and elastic applications. The simulation results shows that, the proposed MSPSOA BF achieves spectral efficiency up to 69.5% compared to ZF BF, and it maintains total utility for high data rate requirements of three common internet traffic such as hard real-time, adaptive and elastic applications.
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institution Universiti Putra Malaysia
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spelling upm-560322017-07-03T09:33:04Z http://psasir.upm.edu.my/id/eprint/56032/ Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network Faisal, Ali Raed Hashim, Fazirulhisyam Ismail, Mahamod Noordin, Nor Kamariah Joint processing (JP) is a powerful mechanism in alleviating inter-cell interference (ICI) and maximizing data rate of cell-edge users. However, JP puts tremendous load on both feedback and backhaul overhead, thus partial JP was proposed to overcome high overhead signaling. Unlike linear techniques such as zero-forcing (ZF), achieving an equivalent backhaul reduction and presenting a totally free ICI system based on limited feedback channel state information can be done by designing and implementing a multi-start particle swarm optimization algorithm (MSPSOA) as a beamforming (BF) mechanism. The performance of the proposed MSPSOA and ZF BF is evaluated based on the acquired spectral efficiency and utility of internet application such as hard real-time, adaptive and elastic applications. The simulation results shows that, the proposed MSPSOA BF achieves spectral efficiency up to 69.5% compared to ZF BF, and it maintains total utility for high data rate requirements of three common internet traffic such as hard real-time, adaptive and elastic applications. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56032/1/Internet%20utility%20evaluation%20of%20a%20multi-start%20particle%20swarm%20optimization%20beamformer%20in%20a%20partial%20joint%20processing%20cellular%20network.pdf Faisal, Ali Raed and Hashim, Fazirulhisyam and Ismail, Mahamod and Noordin, Nor Kamariah (2016) Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network. In: 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS 2016), 15-17 Aug. 2016, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia. . 10.1109/ICIAS.2016.7824093
spellingShingle Faisal, Ali Raed
Hashim, Fazirulhisyam
Ismail, Mahamod
Noordin, Nor Kamariah
Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title_full Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title_fullStr Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title_full_unstemmed Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title_short Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
title_sort internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
url http://psasir.upm.edu.my/id/eprint/56032/
http://psasir.upm.edu.my/id/eprint/56032/
http://psasir.upm.edu.my/id/eprint/56032/1/Internet%20utility%20evaluation%20of%20a%20multi-start%20particle%20swarm%20optimization%20beamformer%20in%20a%20partial%20joint%20processing%20cellular%20network.pdf