QoE-Based Scheduling Algorithm in WiMAX Network using Manhattan Grid Mobility Model

TL;DR

This paper introduces a QoE-based scheduling algorithm for WiMAX networks with Manhattan mobility, improving user experience by adjusting transmission rates upon packet loss, as demonstrated through NS-2 simulations.

Contribution

A novel QoE-focused scheduling algorithm for WiMAX's Best Effort service under Manhattan mobility, enhancing user experience metrics.

Findings

Improved throughput, jitter, and delay performance.

Reduced packet loss rate.

Enhanced user perceived quality (QoE).

Abstract

WiMAX (acronym for Worldwide Interoperability for Microwave Access) is a family of technical standards based on IEEE 802.16 standard that defines the high speed connection through radio waves unlike DSL (Digital Subscriber Line) or other wired technology. It can provide coverage to remote rural areas of several kilometers in radius, it's an adequate response to some rural or inaccessible areas. WiMAX can provide point-to-point (P2P) and point-to-multipoint (PMP) modes. In parallel, it was observed that, unlike the traditional assessment methods for quality, nowadays, current research focuses on the user perceived quality, the existing scheduling approaches take into account the quality of service (QoS) and many technical parameters, but does not take into account the quality of experience (QoE). In this paper, we present a scheduling algorithm to provide QoE in WiMAX network under Manhattan Mobility. A new approach is proposed, particularly for the Best Effort (BE) service class WiMAX, in this approach, if a packet loss occurs on a link connection, the system then reduces the transmission rate of this connection to obtain its minimum allowable transmission rate. The NS-2 simulation results show that the QoE provided to users is enhanced in terms of throughput, jitter, packet loss rate and delay.