Efficient Call Admission Control (CAC) techniques are of paramount important in UMTS networks to satisfy the Quality of Service (QoS) requirements of different traffic classes and to utilize the system resources in an efficient manner. In this paper, we propose a novel uplink CAC framework to enhance existing UMTS networks on three related accounts. First, we introduce a measurement-based component to calculate the current load of the system; second, this measurement-based component is integrated with a power prediction module to estimate the load increment that the new call will bring into the system; and third, the proposed framework feeds the results obtained to a call admission control algorithm with a QoS-enforcing mechanism that gives each class of traffic different treatment based on the QoS requirement of the connections. To the best of our knowledge, ours is a first attempt towards combining the above components into one uplink CAC framework that aims to enhance system performance and to achieve per-class QoS objectives. Simulation results show that the framework is able to reduce dropping ratio for active users to zero level. Thus, it satisfies mobile users' needs resulting in a stable performance levels during heavy load periods. Furthermore, the framework provides a low blocking ratio for new calls, which translates into high resource utilization. This is a highly desirable property from the service provider point of view.
SUMMARYEfficient call admission control (CAC) technique plays a major role in ensuring the quality of service (QoS) requirements of different traffic classes and achieving flexible radio resource utilization in wideband CDMA system like universal mobile telecommunication system (UMTS). In this paper, we propose a novel QoS-aware CAC framework for radio access in wideband wireless UMTS networks. It features an efficient CAC algorithm coupled with a QoS class-separation mechanism based on the transmitted power of each individual mobile terminal. Three inter-relating components have been introduced to extend a currently existing UMTS uplink admission control scheme. First, we introduce a measurement-based component to calculate the current load of the system; second, this measurement-based component is integrated with a power prediction module to estimate the load increment that the new call will bring into the system; and third, the proposed framework feeds the results obtained to a CAC algorithm with a QoS-enforcing mechanism that gives each class of traffic different treatment based on the QoS requirement of the connections. To the best of our knowledge, ours is a first attempt towards combining the above components into one uplink CAC framework that aims to enhance system performance and to achieve per-class QoS objectives. Simulation results show the major impact on the performance of UMTS which is reflected in increased throughput and lower blocking and dropping.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.