An Adaptive Packet Scheduling Algorithm for Quality of Service Provisioning in Wireless ATM Networks

International Journal of Computer Science and Technology | Vol. 5, No. 4, April 2003 | pp. 25–32

DOI: 10.46882/2003/IJCST/000044

Article Type: Original Research Paper

Title: An Adaptive Packet Scheduling Algorithm for Quality of Service Provisioning in Wireless ATM Networks

Names of Authors: Rajesh Kumar¹, David Zhao²

Authors’ Affiliations: ¹Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India; ²School of Computer Engineering, Nanyang Technological University, Singapore

Abstract: Providing guaranteed Quality of Service (QoS) in wireless Asynchronous Transfer Mode (ATM) networks presents a significant engineering challenge due to high burst error rates and limited channel bandwidth. This paper proposes a novel adaptive packet scheduling algorithm that dynamically adjusts cell transmission priorities based on real-time channel state feedback and delay bounds. The algorithm incorporates an aggressive cell-dropping filter for non-real-time traffic when the channel bit error rate drops below 10⁻³. Computer simulations conducted using synthetic multimedia traffic profiles show that the proposed scheduling policy increases overall channel utilization efficiency by 18.4%. Furthermore, it successfully limits cell transfer delay variations to less than 5.2 ms for time-critical voice services under high mobility patterns. The computational complexity of our model scales linearly at O(N), proving its capability for deployment within high-speed base station processing units.

Keywords: Wireless ATM, Packet Scheduling, Quality of Service, Dynamic Bandwidth Allocation, Mobile Communication

Manuscript Timeline: Received: December 14, 2002; Revised: February 02, 2003; Accepted: March 10, 2003; Published: April 12, 2003

Citation: Kumar, R., & Zhao, D. (2003). An Adaptive Packet Scheduling Algorithm for Quality of Service Provisioning in Wireless ATM Networks. International Journal of Computer Science and Technology, 5(4), 25–32.

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