TITLE:
Software Agent Structure for Performance Index Improvement of Cellular Network
AUTHORS:
Megha Kamble, Roopam Gupta
KEYWORDS:
Cellular Network, Hybrid Channel Allocation, Multi Agent System, Agent Negotiation
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.7 No.9,
September
2,
2014
ABSTRACT: Efficient
reuse of limited radio spectrum is vital issue to support increasing number of
mobile terminals and heterogeneous traffic scenarios. Dynamic channel
allocation (DCA) technique is suitable to solve the problem. The drawback of
dynamic channel allocation is it may upgrade performance of one cluster and
degrade performance of other cluster in large scale cellular network. To
balance performance of clusters and increase carried traffic in network, there
is need of enhancement of DCA techniques. To introduce improvement in the
dynamic channel approach, the paper suggested Multi Agent System (MAS) of
physical agents ported at base stations working on the principle of cooperative
negotiation to improve the QoS of the network. We formulated an integrated framework
which includes fundamental mechanism of call admission control and resource
management using hybrid channel allocation (HCA). To balance performance index
of various clusters of network, agent negotiation is executed. Our simulation
results show that it is possible to significantly enhance performance index of
network due to MAS-HCA approach when compared with ES based and ILP based HCA
schemes proposed in literature.