Particle swarm optimization for resource allocation in OFDMA

Shahin Ghcitanchi; Falah Ali; Elias Stipidis

doi:10.1109/ICDSP.2007.4288599

Particle swarm optimization for resource allocation in OFDMA

Shahin Ghcitanchi, Falah Ali, Elias Stipidis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

Particle Swarm Optimization (FSO) is a wellknown technique in Artificial Intelligence (AI) for n-dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.

Original language	English
Title of host publication	2007 15th International Conference on Digital Signal Processing, DSP 2007
Pages	383-386
Number of pages	4
DOIs	https://doi.org/10.1109/ICDSP.2007.4288599
Publication status	Published - 1 Dec 2007
Event	2007 15th International Conference onDigital Signal Processing, DSP 2007 - Wales, United Kingdom Duration: 1 Jul 2007 → 4 Jul 2007

Conference

Conference	2007 15th International Conference onDigital Signal Processing, DSP 2007
Country/Territory	United Kingdom
City	Wales
Period	1/07/07 → 4/07/07

Keywords

FSO
OFDMA
Sub-arrier allocation
Swarm intelligence

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10.1109/ICDSP.2007.4288599

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title = "Particle swarm optimization for resource allocation in OFDMA",

abstract = "Particle Swarm Optimization (FSO) is a wellknown technique in Artificial Intelligence (AI) for n-dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.",

keywords = "FSO, OFDMA, Sub-arrier allocation, Swarm intelligence",

author = "Shahin Ghcitanchi and Falah Ali and Elias Stipidis",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ICDSP.2007.4288599",

language = "English",

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pages = "383--386",

booktitle = "2007 15th International Conference on Digital Signal Processing, DSP 2007",

note = "2007 15th International Conference onDigital Signal Processing, DSP 2007 ; Conference date: 01-07-2007 Through 04-07-2007",

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AU - Ghcitanchi, Shahin

AU - Ali, Falah

AU - Stipidis, Elias

PY - 2007/12/1

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N2 - Particle Swarm Optimization (FSO) is a wellknown technique in Artificial Intelligence (AI) for n-dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.

AB - Particle Swarm Optimization (FSO) is a wellknown technique in Artificial Intelligence (AI) for n-dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.

KW - FSO

KW - OFDMA

KW - Sub-arrier allocation

KW - Swarm intelligence

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U2 - 10.1109/ICDSP.2007.4288599

DO - 10.1109/ICDSP.2007.4288599

M3 - Conference contribution with ISSN or ISBN

AN - SCOPUS:47649093690

SN - 1424408822

SN - 9781424408825

SP - 383

EP - 386

BT - 2007 15th International Conference on Digital Signal Processing, DSP 2007

T2 - 2007 15th International Conference onDigital Signal Processing, DSP 2007

Y2 - 1 July 2007 through 4 July 2007

ER -

Particle swarm optimization for resource allocation in OFDMA

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