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Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm
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| File | Size | Format | |
|---|---|---|---|
| Download | Fenton M. Lynch D. Kucera S. Claussen H. O'Neill M. (2015) (preprint).pdf | 1.2 MB | Adobe PDF |
| Title: | Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm | Authors: | Fenton, Michael; Lynch, David; Kucera, Stepan; Claussen, Holger; O'Neill, Michael | Permanent link: | http://hdl.handle.net/10197/7297 | Date: | 28-May-2015 | Online since: | 2015-12-14T12:54:10Z | 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. | Funding Details: | 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 | Other versions: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7256876 | Language: | en | Status of Item: | Peer reviewed | Conference Details: | 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/ |
| Appears in Collections: | Business Research Collection CASL Research Collection |
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