A novel mobility aware downlink scheduling algorithm for LTE-A networks

Yildiz, Onem; Sokullu, Radosveta

doi:10.1109/icufn.2017.7993798

Cited by 14 publications

(8 citation statements)

References 15 publications

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“…Yildiz and Sokullu [20] provide consistency in throughput and fairness in the change's mobility pattern compared to the round-robin and best CQI. Another benchmarking by Hayuwidya, Ernawan, and Iskandar [21] uses Monte Carlo simulation and a radio planning software, namely Atoll, and found that proportional fair algorithm for scheduling outperforms as compared to the round-robin.…”

Section: Related Workmentioning

confidence: 99%

Simplified Framework for Benchmarking Standard Downlink Scheduler over Long Term Evolution

K¹,

Kumar²

2021

IJACSA

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Downlink scheduling is one of the essential operations when it comes to improving the quality of service in Long Term Evolution (LTE). With an increasing user base, there will be an extensive challenge in resource provisioning too. A review of existing approaches shows that there is a significant possibility of improvement in this regard, and hence, the proposed manuscript presents a benchmarking model for addressing the issues associated with Best-Channel Quality Indicator (CQI), Round Robin, and Hybrid Automatic Repeat Request (HARQ). The outcome shows HARQ scheduling to offer better performance in higher throughput, higher fairness, and lower delay over different test cases.

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Section: Related Workmentioning

confidence: 99%

Simplified Framework for Benchmarking Standard Downlink Scheduler over Long Term Evolution

K¹,

Kumar²

2021

IJACSA

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“…The authors of [19] present and evaluate scheduling schemes for a FlexRay network-an advanced standard for automotive communications. In present day mobile networks, the research work is mostly focused on downlink scheduling [20][21][22]. A very insubstantial volume of literature addresses uplink scheduling mechanisms, where uplink constraints are taken into consideration [23][24][25].…”

Section: Medium Access Scheduling In Literature and Data Trafficmentioning

confidence: 99%

Medium Access-Based Scheduling Scheme for Cyber Physical Systems in 5G Networks

et al. 2020

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The development of the 5G mobile communication standard attempts to meet the future needs of data users. The impact of Cyber Physical Systems (CPS) is crucial in Internet of Things (IoT) and other emerging technologies. The design of medium access mechanisms for CPS such as radio resource scheduling schemes has a significant effect on network performance. Recent literature shows that limited work is available on uplink scheduling schemes, particularly in the 5G domain. Planning a network that can address the modern needs of users entails efficient CPS scheduling mechanisms such that resources are amicably distributed between users of contrasting priorities. The prime focus of this work is to design and develop an uplink radio resource scheduling framework for CPS-based future networks such as 5G. In the designed framework, scarce radio resources are sought to be distributed efficiently according to the service-based needs of users. The proposed scheduling scheme is a service aware (SA) scheduler designed for CPS in accordance with the 5G network peculiarities, intended to achieve higher throughput and reduced latency. The proposed SA scheduler supports multi-bearer traffic and is capable of providing resources in adverse channel conditions in an efficient manner. The SA scheduling mechanism’s performance is evaluated and compared with renowned scheduling algorithms such as blind equal throughput (BET), maximum throughput (MT), and proportional fair (PF) scheduling schemes. The simulation results obtained in a cellular environment demonstrate that the SA scheduler achieves acceptable cell throughput and end-to-end delay results in all scenarios and out-performs other contemporary scheduling schemes.

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“…Yildiz and Sokullu have proposed an algorithm, MAS, which is a hybrid of RR and best‐CQI algorithms . They first assign to users with best channel conditions, then they apply an RR among other users to increase the fairness index of the scheduling.…”

Section: Related Workmentioning

confidence: 99%

QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users

Uyan

Güngör

2019

Int J Communication

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Summary 4G/LTE‐A (Long‐Term Evolution—Advanced) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high Internet speeds. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A scheduling algorithm running on the base station holds the allocation of these resources. In this paper, we investigate the performance of existing downlink scheduling algorithms in two ways. First, we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new QoS‐aware fairness criterion, which accepts that the system is fair if it can provide the users with the network traffic speeds that they demand and evaluate the performance of the algorithms according to this metric. We also propose a new QoS‐aware downlink scheduling algorithm (QuAS) according to these two metrics, which increases the QoS‐fairness and overall throughput of the edge users without causing a significant degradation in overall system throughput when compared with other schedulers in the literature.

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A novel mobility aware downlink scheduling algorithm for LTE-A networks

Cited by 14 publications

References 15 publications

Simplified Framework for Benchmarking Standard Downlink Scheduler over Long Term Evolution

Simplified Framework for Benchmarking Standard Downlink Scheduler over Long Term Evolution

Medium Access-Based Scheduling Scheme for Cyber Physical Systems in 5G Networks

QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users

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