A QCP Approach for Bandwidth Reallocation in Integrated Cellular Network

Maheswaran, C. P.; Sulochana, C. Helen

doi:10.1007/978-81-322-2119-7_109

Cited by 1 publication

(2 citation statements)

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“…The concept of quality points in a game theoretical context is to select the best network which serves the service request of the user. Maheswaran and Helen Sulochana [9] have, in their paper, focused on the Quasi-Source Chosen Procedure (QCP) aspect of routing protocols with respect to Integrated Cellular Networks (ICNs). The QCP algorithm [9] has been so designed that it can be deployed in BSs, which would then assist in the selection of quasi-sources, whenever the need for diverting the calling traffic arose.…”

Section: Preliminary Workmentioning

confidence: 99%

“…Maheswaran and Helen Sulochana [9] have, in their paper, focused on the Quasi-Source Chosen Procedure (QCP) aspect of routing protocols with respect to Integrated Cellular Networks (ICNs). The QCP algorithm [9] has been so designed that it can be deployed in BSs, which would then assist in the selection of quasi-sources, whenever the need for diverting the calling traffic arose. The main objective of QCPs is to select source nodes that have the maximum possibility of detecting relaying routes successfully.…”

Section: Preliminary Workmentioning

confidence: 99%

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Utilizing EEM approach to tackle bandwidth allocation with respect to heterogeneous wireless networks

Maheswaran

Sulochana

2016

ICT Express

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With respect to the rapidly growing Fourth Generation (4G) wireless communication system, an outstanding feature is the heterogeneous wireless access. Despite the fact that this amazing feature allows users to connect to several wireless access networks simultaneously, various challenges with respect to bandwidth allocation (BA) among various heterogeneous networks also arise. A feasible and effective solution to tackle this problem has been proposed in this paper, which concerns a bandwidth allocation using game (BAG) algorithm with respect to heterogeneous wireless networks. This paper proposes modeling a Resource allocation RA or Bandwidth Allocation problem as a game, and then formulating it to increase the total utility to a maximum of the dissimilar networks. The game model that has been proposed in this paper also establishes the existence of the Experimental Economic Method (EEM). In order to divert assigning too much Resource or bandwidth to a single user, utility functions have also been designed. Moreover, simulation results reveal that the scheme proposed in this paper not only achieves a high utility, but also reduces blocking probability within a few iterations.

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Section: Preliminary Workmentioning

confidence: 99%

Section: Preliminary Workmentioning

confidence: 99%