Call Admission Control performance model for Beyond 3G Wireless Networks

TL;DR

This paper develops a Markov chain-based performance model for call admission control in heterogeneous Next Generation Wireless Networks, aiming to reduce call blocking probability across diverse traffic types.

Contribution

It introduces a higher order Markov chain model considering three traffic classes in heterogeneous environments, enhancing QoS management in NGWN.

Findings

Call blocking probabilities are quantified for different traffic types.

Model performs well under fixed and varied traffic scenarios.

Supports applications like voice, web browsing, and file transfer.

Abstract

The Next Generation Wireless Networks (NGWN) will be heterogeneous in nature where the different Radio Access Technologies (RATs) operate together .The mobile terminals operating in this heterogeneous environment will have different QoS requirements to be handled by the system. These QoS requirements are determined by a set of QoS parameters. The radio resource management is one of the key challenges in NGWN. Call admission control is one of the radio resource management technique plays instrumental role in ensure the desired QoS to the users working on different applications which have diversified QoS requirements from the wireless networks . The call blocking probability is one such QoS parameter for the wireless network. For better QoS it is desirable to reduce the call blocking probability. In this customary scenario it is highly desirable to obtain analytic Performance model. In this paper we propose a higher order Markov chain based performance model for call admission control in a heterogeneous wireless network environment. In the proposed algorithm we have considered three classes of traffic having different QoS requirements and we have considered the heterogeneous network environment which includes the RATs that can effectively handle applications like voice calls, Web browsing and file transfer applications which are with varied QoS parameters. The paper presents the call blocking probabilities for all the three types of traffic both for fixed and varied traffic scenario.