Adaptive resource management for cellular-based multimedia wireless networks

Abstract

Next generation wireless cellular networks aim to provide guaranteed Quality of Service (QoS) for multimedia applications. However, bandwidth is an extremely scarce resource in such networks that required an efficient and effective management to enhance the network performance and provide better services for mobile users. In this paper, we propose a QoS adaptive multimedia service framework for controlling the multimedia traffic in cellular-based multimedia wireless networks. The frame operates at the connection-level where the bandwidth of ongoing connections can be dynamically adjusted to provide an acceptable trade off level between connection blocking and dropping probabilities for different traffic class. The proposed framework is designed to take advantage of the Adaptive Bandwidth Allocation (ABA) algorithm with new calls in order to enhance the system utilization and blocking probability of new calls. The performance of our framework is compared to a framework previously proposed in [4]. Simulation results show that our QoS adaptive multimedia service framework outperforms the previous framework in terms of connection blocking probability, connection dropping probability, and bandwidth utilization.