Fair-QoS Broker Algorithm for Overload-State Downlink Resource Scheduling in LTE Networks

Ferdosian, Nasim; Othman, Мohamed; Ali, Borhanuddin Mohd; Lun, Kweh Yeah

doi:10.1109/jsyst.2017.2702109

Cited by 14 publications

(12 citation statements)

References 21 publications

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“…After classifying the bearers, they use the same manner with the Proportional Fair algorithm to assign the RBs to the UEs. Another algorithm, FQB, proposed by Ferdosian and Othman also uses the same GBR–non‐GBR grouping to increase fairness index of the users when the users' demands are higher than the available system capacity …”

Section: Related Workmentioning

confidence: 99%

“…Another algorithm, FQB, proposed by Ferdosian and Othman also uses the same GBR-non-GBR grouping to increase fairness index of the users when the users' demands are higher than the available system capacity. 15 Al-Shuraifi and Al-Zayadi 16 propose a scheduling method, which is again based on the best-CQI algorithm. The scheduler first collects data about network and channel conditions of the users.…”

Section: Related Workmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

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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“…The allocation of radio resources for LTE downlink system has been extensively studied. As examples, we can cite the algorithms presented in:. These algorithms provide solutions for the resource allocation in LTE networks, based on information from the network.…”

Section: Resource Scheduling In Lte Networkmentioning

confidence: 99%

“…In, the authors propose a two‐level downlink scheduling algorithm to provide a compromise for the LTE performance targets. It is developed a coherent resource distribution approach by applying a game theory model in a nested manner to provide per‐class fairness and applies the greedy‐knapsack algorithm that is properly tailored to optimally allocate resources to the best potential bearers for QoS and throughput enhancement.…”

Section: Resource Scheduling In Lte Networkmentioning

confidence: 99%

“…Along with the emergence of new services and applications, there is an exponential increase of Internet access via wireless mobile networks such as LTE (Long Term Evolution) requiring researches in novel resource allocation techniques seeking to increase throughput and decrease the delay in the network. Several authors propose algorithms for radio resource scheduling in wireless networks considering different parameters such as: channel condition, the backlog, the minimum data rate requirement and effective bandwidths.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive envelope process and minimum service curve applied to resource block allocation in the LTE downlink

Abrahão

Vieira

2018

Int J Communication

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In this work, we propose a resource allocation algorithm for the LTE downlink that makes use of an adaptive multifractal envelope process and a minimum service curve. The proposed scheduling algorithm aims to improve some network parameters while guaranteeing a maximum delay to the user by considering the following information: backlog, channel condition and user traffic behavior. In order to estimate the maximum network delay, we propose an adaptive minimum service curve for the LTE network that can be used for admission control purposes in the resource allocation algorithm. The performance of the proposed scheduling algorithm is compared to those of several scheduling schemes known in the literature through computational simulations of the LTE downlink. In order to develop a new adaptive envelope process and to precisely describe network flows, we propose an adaptive algorithm to estimate the parameters of the Multifractal Wavelet Model (MWM).The proposed envelope process is compared to the main traffic model based envelope processes known in the literature. Simulations of the LTE downlink considering AMC (Adaptive Modulation and Coding) are carried out showing the efficiency of the proposed resource allocation approach that considers adaptive estimation of network traffic parameters.

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A Downlink Scheduling Algorithm Based on Network Slicing for 5G

Wang

Zhang

et al. 2021

Communications and Networking

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Fair-QoS Broker Algorithm for Overload-State Downlink Resource Scheduling in LTE Networks

Cited by 14 publications

References 21 publications

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

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

Adaptive envelope process and minimum service curve applied to resource block allocation in the LTE downlink

A Downlink Scheduling Algorithm Based on Network Slicing for 5G

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