A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing

Abstract

Call admission control (CAC) is one of challenging issues for quality of service (QoS) provisioning in mobile multimedia network communication systems. CAC can be defined as the system that restricts the network access based on resource availability. A new call is admitted if enough idle resources are available in order to meet the QoS requirements of the new call without violating the QoS for already accepted calls, otherwise the call is rejected. This paper provides a survey of different CAC schemes used for mobile multimedia networks using soft computing techniques like artificial neural networks, fuzzy logic, and genetic algorithms. Soft computing can be used to obtain optimized results from many parameters used in mobile multimedia networks. Our goal is to review and compare the best features of soft computing applied in mobile multimedia networks to improve the capability of existing CAC methods. This paper also elaborates the future directions for the use of untouched areas of artificial neural networks, fuzzy logic, and genetic algorithm.

An Intelligent Call Admission Controller for Guaranteed QoS in 4G Mobile Networks Full Text

“…Due to the tremendous growth and complex nature of 4G networks, it is difficult to manage. In order to control and mange such a complex network, CAC is required [1][2][3][4][5].…”

Intra-flow Contention Scheme for Improving QoS in WLAN

“…In this section, we discuss several existing admission control algorithms in the area of wired, ad hoc , wireless mesh networks and Traditional approaches like IntServ/RSVP and DiffServ [11] for QoS provisioning on the internet do not work well for wireless networks due to the inherent distinctions between the wired and wireless networks.…”

“…Sanjeev Kumar [11] gave a proposed scheme on soft computing. It took the survey of different CAC schemes that are used for mobile multimedia networks use the soft computing as the base technique like fuzzy logic, artificial neural network and genetic algorithms.…”

An Interval Type-2 Fuzzy Logic Based Framework for Call Admission Control in 4G Mobile Networks

“…Consequently, choosing the best network to accept a new connection request without disrupting the service quality of ongoing connections becomes difficult [3] [4] [5]. Furthermore, as 4G networks are associated with much uncertainty and imprecision due to escalating number of access points, constant change in propagation channels, network load sudden variations and random mobility of users [6] [7], there is need to develop a framework that ensures fair admission control and efficient service delivery to all categories of call requests.…”

“…According to [3] and [9], maintaining QoS (e.g. signal quality, packet delay, jitter, loss rate, call blocking and dropping thresholds, etc.)…”