NDLI: Multihop cellular network optimization using genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Ayyadurai, V. Moessner, K. Tafazolli, R.
Copyright Year	2011
Description	Author affiliation: Center for Communication Systems Research, University of Surrey, UK (Ayyadurai, V.; Moessner, K.; Tafazolli, R.)
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).
Starting Page	1
Ending Page	5
File Size	861002
Page Count	5
File Format	PDF
ISBN	9781457715884
e-ISBN	9783901882449
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-24
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	IFIP
Subject Keyword	Capacity Spread spectrum communication Multihop cellular network Throughput Load management Coverage Resource management Relays Optimization Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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