An Adaptive Power Efficient Packet Scheduling Algorithm for Wimax Networks

TL;DR

This paper introduces an adaptive, power-efficient packet scheduling algorithm for WiMAX networks that considers channel conditions and traffic priorities, improving resource utilization and reducing delays and power use.

Contribution

It proposes a novel adaptive scheduling algorithm that dynamically adjusts to channel conditions and traffic priorities to enhance power efficiency and fairness in WiMAX networks.

Findings

Achieves better channel utilization

Reduces delay for high-priority traffic

Minimizes power consumption

Abstract

Admission control schemes and scheduling algorithms are designed to offer QoS services in 802.16/802.16e networks and a number of studies have investigated these issues. But the channel condition and priority of traffic classes are very rarely considered in the existing scheduling algorithms. Although a number of energy saving mechanisms have been proposed for the IEEE 802.16e, to minimize the power consumption of IEEE 802.16e mobile stations with multiple real-time connections has not yet been investigated. Moreover, they mainly consider non real- time connections in IEEE 802.16e networks. In this paper, we propose to design an adaptive power efficient packet scheduling algorithm that provides a minimum fair allocation of the channel bandwidth for each packet flow and additionally minimizes the power consumption. In the adaptive scheduling algorithm, packets are transmitted as per allotted slots from different priority of traffic classes adaptively, depending on the channel condition. Suppose if the buffer size of the high priority traffic queues with bad channel condition exceeds a threshold, then the priority of those flows will be increased by adjusting the sleep duty cycle of existing low priority traffic, to prevent the starvation. By simulation results, we show that our proposed scheduler achieves better channel utilization while minimizing the delay and power consumption.