Channel assignment in multimedia cellular networks

Authors:
Goutam K. Audhya;Bhabani P. Sinha
Affiliations:
BSNL, Calcutta, India;Indian Statistical Institute, Kolkata, India
Venue:
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Year:
2008

Citing 3
Cited 0

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Genetic Algorithms in Search, Optimization and Machine Learning
An Efficient Channel Assignment Technique for Hexagonal Cellular Networks

ISPAN '02 Proceedings of the 2002 International Symposium on Parallel Architectures, Algorithms and Networks
Lower Bound on Bandwidth for Channel Assignment in Multimedia Cellular Networks with 2-Band Buffering

ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications

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Abstract

This paper deals with multimedia channel assignment in a hexagonal cellular network with two-band buffering. After deriving a lower bound on the minimum bandwidth for real-life situations, we present an algorithm for assigning channels using Genetic Algorithm (GA). We also propose an elegant technique for re-use of the channels, using only eighteen distinct frequency bands on a nine-node subgraph of the network, and then extend it for assignment of the complete network. The proposed algorithm converges very rapidly with required bandwidth close to the derived lower bound.