Class-based QoS scheduling of WiMAX networks

Shareef, Zayd Ashraf; Hussin, Masnida; Abdullah, Azizol; Muhammed, Abdullah

doi:10.3233/jhs-180599

Cited by 5 publications

(1 citation statement)

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“…In [15], a class-based QoS scheduling (CBS) is proposed to improve performance of existing WiMAX scheduling algorithms in terms of throughput. The CBS separates QoS classes into two service groups-namely, delay constraint service (DCS) and throughput guarantee service (TGS).…”

Section: G Class-based Qos Scheduling Algorithmmentioning

confidence: 99%

Performance Evaluation of Priority Load-Aware Scheduling (PLAS) Algorithm for IEEE802.16 Networks

Abdulazeez

Yese

Mohammed

2019

EJECE

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In recent years, there has been an increase in the transmission of multimedia services due to the emergence of wireless broadband (WiBB) technologies such as WiMAX. WiMAX supports multiple QoS classes for transmission of different multimedia applications. However, satisfying the requirements of these applications with the often-limited resources has been a major challenge, which requires an efficient scheduling scheme such as PLAS. PLAS is a variant of LAWRR designed to reduce queuing delay of real-time traffics in WiBB networks. Several simulation experiments were conducted to evaluate the performance of PLAS against the LAWRR algorithm. The results revealed that PLAS outperforms the other scheme in terms of average delay for low input traffic. However, the metric (delay) used and the traffics generated for the simulation are not adequate to realistically evaluate the performance of a scheduling algorithm in a typical metropolitan area network. In this study, we further evaluated the performance of PLAS and LAWRR under varying higher input traffics, and an additional performance metric, using discrete event simulation. The results demonstrated that the PLAS achieved better results in terms of queuing delay and throughput compared to LAWRR. The improved performance will lead to better user experience, which will increase the number of subscribers and consequently increase revenue for service providers.

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Section: G Class-based Qos Scheduling Algorithmmentioning

confidence: 99%