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...

Full description

Saved in:
Bibliographic Details
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/56032/1/Internet%20utility%20evaluation%20of%20a%20multi-start%20particle%20swarm%20optimization%20beamformer%20in%20a%20partial%20joint%20processing%20cellular%20network.pdf
http://psasir.upm.edu.my/id/eprint/56032/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.56032
record_format eprints
spelling my.upm.eprints.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
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 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.
format Conference or Workshop Item
author Faisal, Ali Raed
Hashim, Fazirulhisyam
Ismail, Mahamod
Noordin, Nor Kamariah
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
author_facet Faisal, Ali Raed
Hashim, Fazirulhisyam
Ismail, Mahamod
Noordin, Nor Kamariah
author_sort Faisal, Ali Raed
title 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_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_sort internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network
publisher IEEE
publishDate 2016
url 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
http://psasir.upm.edu.my/id/eprint/56032/
_version_ 1643836070746390528
score 13.211869