Delay-based and QoS-aware packet scheduling for RT and NRT multimedia services in LTE downlink systems

• Main Authors: Madi, Nadim K. M., Mohd Hanapi, Zurina, Othman, Mohamed, K. Subramaniam, Shamala
• Format: Article
• Language: English
• Published: SpringerOpen 2018
• Online Access: http://psasir.upm.edu.my/id/eprint/72180/1/Delay-based%20and%20QoS-aware%20packet%20scheduling.pdf; http://psasir.upm.edu.my/id/eprint/72180/; https://link.springer.com/article/10.1186/s13638-018-1185-3
• Institution: Universiti Putra Malaysia

Guaranteeing Quality of Service (QoS) for heterogeneous traffic is a major challenge in the Fourth Generation (4G) mobile networks. Therein, the absence of sophisticated resources allocation process at the base station jeopardizes QoS in terms of latency data transfer. It has been observed from the literature that low delay bounds might be ensured, however, at the expense of other QoS aspects; for example, throughput and data loss. Therefore, in this article, we propose an effective Delay–based and QoS–Aware Scheduling (DQAS) scheme with a low complexity overhead as an efficient solution for the resource allocation issue in LTE Medium Access Control (MAC) layer. The ultimate aim of DQAS is to minimize delay for Real-Time (RT) traffic while still offering a good level of QoS. Complying with QoS of different traffic types, we effectively analyze the queue buffer of each user flow by developing an algorithm called Efficient Delay Control (EDC) that weights each flow priority in terms of delay. Then, this weight is utilized as a principle for the scheduling decision on the attending flows. Furthermore, the Least Delay Increase (LDI) algorithm is developed to tune the scheduler behavior to maintain a balance between delay and system throughput. Simulation results considering different user mobility levels reveal that DQAS significantly guarantees a low end-to-end delay trend that is independent of increased RT load, and moreover, a reasonable throughput and data drop levels compared to other existing schedulers.