Abstract

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.

Highlights

  • Long Term Evolution (LTE) is recently the most promising mobile technology which allows various multimedia applications to be transferred with a high network capacity and utility [1]

  • Dqueue is the queue delay at the Medium Access Control (MAC)/RLC layer and normally this part has the dominant impact on DE2E, especially, on burst traffic

  • Dprop, Dtrans are the propagation delay captured at the physical layer and the transmission delay caused by the wireless medium between evolved NodeB (eNB) and User Equipment (UE), respectively

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Summary

Introduction

Long Term Evolution (LTE) is recently the most promising mobile technology which allows various multimedia applications to be transferred with a high network capacity and utility [1]. In [11, 12], the algorithms are observed to reduce delay only on burst RT video, this causes a high data loss ratio though These schemes deliberately trigger a dropping procedure during the network load congestion states against certain flows in order to alleviate delay and improve throughput on other flows with good channel conditions. The optimal QoS situation is approached by balancing these aspects, improving the performance on different applications is obtained complying with their QoS characteristics Up to this point, we notice that majority of the related works do not emphasize on this QoS premise as a long–term goal to be achieved by their different proposed scheduling schemes. The UE decodes the PDCCH payload and checks if it is permitted to be scheduled by the eNB and possibly access the Physical Downlink Shared Channel (PDSCH) to receive its requested flow

The Proposed Delay–based and QoS–Aware Scheduling Scheme
Data Flows QoS Analysis
Impact of EDC QoS-related parameters on the overall performance
Conclusion

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