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Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm
File(s)
File | Description | Size | Format | |
---|---|---|---|---|
Fenton M. Lynch D. Kucera S. Claussen H. O'Neill M. (2015) (preprint).pdf | 1.17 MB |
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
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
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