Near optimal fair delay based resource allocation for video traffic over wireless multimedia system

Authors:
M. R. M. Rizk;M. I. Dessouky;Sami A. El-Dolil;Mohammed Abd-Elnaby
Affiliations:
Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt;Department of Electrical Communication, Faculty of Electronic Engineering, Menoufia University, B.O. Box 32952, Menouf, Egypt;Department of Electrical Communication, Faculty of Electronic Engineering, Menoufia University, B.O. Box 32952, Menouf, Egypt;Department of Electrical Communication, Faculty of Electronic Engineering, Menoufia University, B.O. Box 32952, Menouf, Egypt
Venue:
Computer Communications
Year:
2008

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Abstract

The major issue related to the realization of wireless multimedia system is the design of suitable medium access control (MAC) protocol. The design challenge is to maximize the utilization of the limited wireless resources while guaranteeing the various quality of service requirements for all traffic classes especially for the stringent real-time constraint of real-time variable bit rate (rt-VBR) video service. In this paper a novel resource allocation algorithm for video traffic is proposed. The proposed allocation algorithm aims to provide fair delay for video packets by minimizing the delay difference among transmitted video packets. At the same time it adaptively controls the allocated resources (bandwidth) for video traffic around the corresponding average bit rate, and has the ability of controlling the quality of service (QoS) offered for video traffic in terms of packet loss probability and average delay. A minimized control overhead of only two bits is needed to increase the utilization efficiency. Simulation results show that the proposed algorithm achieves very high utilization and provides nearly fair delay among video packets. Its efficiency is also investigated under traffic integration condition with voice and data traffic to show that the QoS offered to video traffic does not change in the presence of the highest priority voice traffic while data traffic increases the channel utilization to 98% by using the remaining bandwidth after voice and video traffic while a good QoS is offered to voice and data traffic.