Multihop cellular network optimization using genetic algorithms

Authors:
Velmurugan Ayyadurai;Klaus Moessner;Rahim Tafazolli
Affiliations:
University of Surrey, UK;University of Surrey, UK;University of Surrey, UK
Venue:
Proceedings of the 7th International Conference on Network and Services Management
Year:
2011

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Abstract

Future cellular systems demand higher throughput as an important requirement, along with smaller cell sizes to characterize the performance of network services. This paper purposes a way to optimize the multihop cellular network (MCN) deployment in LTE-A/Mobile WiMAX broadband wireless access systems. A simple way to optimize the MCN is to associate direct and multihop users based on maximum channel quality and allocate the resources blocks dynamically based on traffic load balancing as adjustment variables. The changing traffic demands require dynamic network reconfiguration to maintain proportional fairness in achieving the throughput. A self optimizing network based on genetic algorithm (GA) is made to adaptively resize the cell coverage limit and dynamically allocate resources based on active user demands. A policy control scheme to control resource allocations between direct and multihop users can be either fixed resource allocation (FRA) or dynamic resource allocation (DRA).