Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
  • Colleges & Schools
  • Statistics
  • All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Business
  3. School of Business
  4. Business Research Collection
  5. Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm
 
  • Details
Options

Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm

File(s)
FileDescriptionSizeFormat
Download Fenton M. Lynch D. Kucera S. Claussen H. O'Neill M. (2015) (preprint).pdf1.17 MB
Author(s)
Fenton, Michael 
Lynch, David 
Kucera, Stepan 
Claussen, Holger 
O'Neill, Michael 
Uri
http://hdl.handle.net/10197/7297
Date Issued
28 May 2015
Date Available
14T12:54:10Z December 2015
Abstract
Grammatical Evolution (GE) is applied to the problem of load balancing in heterogeneous cellular network deployments (HetNets). HetNets are multi-tiered cellular networks for which load balancing is a scalable means to maximise network capacity, assuming similar traffic from all users. This paper describes a proof of concept study in which GE is used in a genetic algorithm-like way to evolve constants which represent cell power and selection bias in order to achieve load balancing in HetNets. A fitness metric is derived to achieve load balancing both locally in sectors and globally across tiers. Initial results show promise for GE as a heuristic for load balancing. This finding motivates a more sophisticated grammar to bring enhanced Inter-Cell Interference Coordination optimisation into an evolutionary framework.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Start Page
70
End Page
76
Copyright (Published Version)
2015 IEEE
Keywords
  • Grammatical evolution...

  • Load balancing

  • Cellular networks

DOI
10.1109/CEC.2015.7256876
Web versions
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7256876
Language
English
Status of Item
Peer reviewed
Description
2015 IEEE Congress on Evolutionary Computation (IEEE CEC), Sendai, Japan, 25 - 28 May 2015
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Business Research Collection
Scopus© citations
11
Acquisition Date
Feb 7, 2023
View Details
Views
1656
Last Week
1
Last Month
3
Acquisition Date
Feb 8, 2023
View Details
Downloads
450
Last Month
196
Acquisition Date
Feb 8, 2023
View Details
google-scholar
University College Dublin Research Repository UCD
The Library, University College Dublin, Belfield, Dublin 4
Phone: +353 (0)1 716 7583
Fax: +353 (0)1 283 7667
Email: mailto:research.repository@ucd.ie
Guide: http://libguides.ucd.ie/rru

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement