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Load Balancing in Heterogeneous Networks using an Evolutionary Algorithm
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Fenton M. Lynch D. Kucera S. Claussen H. O'Neill M. (2015) (preprint).pdf | 1.2 MB | Adobe PDF | Download |
| 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 | 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 | Copyright (published version): | 2015 IEEE | Keywords: | Grammatical evolution;Load balancing;Cellular networks | DOI: | 10.1109/CEC.2015.7256876 | Language: | en | Status of Item: | Peer reviewed | Conference Details: | 2015 IEEE Congress on Evolutionary Computation (IEEE CEC), Sendai, Japan, 25 - 28 May 2015 |
| Appears in Collections: | Business Research Collection CASL Research Collection |
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