University of Surrey

Test tubes in the lab Research in the ATI Dance Research

On Performance Optimization in Self-Organizing Network using Enhanced Simulated Annealing with Similarity Measure

Peyvandi, H, Imran, Muhammad and Tafazolli, Rahim (2012) On Performance Optimization in Self-Organizing Network using Enhanced Simulated Annealing with Similarity Measure In: Recent Research Session, International Symposium on Information Theory (ISIT), Massachusetts Institute of Technology (MIT), 2012-07-01 - 2012-07-06, MIT, Cambridge, USA.

[img]
Preview
PDF
HoPe=ISIT2012.pdf
Available under License : See the attached licence file.

Download (355kB)
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (33kB)

Abstract

Network performance optimization is among the most important tasks within the area of wireless communication networks. In a Self- Organizing Network (SON) with the capability of adaptively changing parameters of a network, the optimization tasks are more feasible than static networks. Yet, with an increase of OPEX and CAPEX in new generation telecommunication networks, the optimization tasks are inevitable. In this paper, it is proven that the similarity among target and network parameters can produce lower Uncertainty Entropy (UEN) in a self-organizing system as a higher degree of organizing is gained. The optimization task is carried out with the Adaptive Simulated Annealing method, which is enhanced with a Similarity Measure (SM) in the proposed approach (EASA). The Markov model of EASA is provided to assess the proposed approach. We also show a higher performance through a simulation, based on a scenario in LTE network.

Item Type: Conference or Workshop Item (Conference Poster)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
NameEmailORCID
Peyvandi, HUNSPECIFIEDUNSPECIFIED
Imran, MuhammadM.Imran@surrey.ac.ukUNSPECIFIED
Tafazolli, RahimR.Tafazolli@surrey.ac.ukUNSPECIFIED
Date : 6 July 2012
Copyright Disclaimer : Paper accepted for presentation at the Recent Results Session, International Symposium on Information Theory (ISIT 2012), Massachusetts, USA. © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Self-Organizing, Similarity Measure, Simulated Annealing, Uncertainty Entropy, Markov Model, Degree of Organization
Depositing User : Symplectic Elements
Date Deposited : 30 Aug 2013 11:05
Last Modified : 26 Jul 2017 11:21
URI: http://epubs.surrey.ac.uk/id/eprint/794818

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800