Delay-aware with resource block management scheduling algorithm in LTE

Kaewmongkol, Korn; Jansang, Aphirak; Phonphoem, Anan

doi:10.1109/icsec.2015.7401445

Cited by 3 publications

(2 citation statements)

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“…The scheduling rule emphasizes on fair delay distribution instead of actually minimizing delay time. In [21], PF is joined with a user-defined delay threshold below the maximum bound and a ratio of allocated resource blocks are utilized to design a scheduling rule. Although low delay can be established, ensuring a long-term low delay during the network overload states using the statically determined parameters tends to be an elusive goal, especially, in case of burst Variable Bit Rate (VBR) traffic where long buffers are common.…”

Section: Delay-driven Schedulersmentioning

confidence: 99%

“…In fact, this assumption may not be practical in multi-traffic scenarios, since flows such as VoIP does not tolerate heavy data loss which eventually increases its delay when being transmitted with other burst traffic. On the other hand, adopting a relaxed delay threshold as in [22], or statically assigning resource blocks quota as in [21] By introducing our proposed scheduling model (DQAS), a heterogeneous traffic scenario is considered where RT flows are examined in terms of their delay specifications. In addition, QoS of NRT flows is also reckoned by pledging a sufficient data rate.…”

Section: Delay-driven Schedulersmentioning

confidence: 99%

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

Madi

Hanapi

Othman

et al. 2018

J Wireless Com Network

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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.

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Section: Delay-driven Schedulersmentioning

confidence: 99%

Section: Delay-driven Schedulersmentioning

confidence: 99%