Comparative Performance Study of LTE Downlink Schedulers

Biernacki, Arkadiusz; Tutschku, Kurt

doi:10.1007/s11277-013-1308-4

Cited by 27 publications

(27 citation statements)

References 18 publications

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“…The goal of this algorithm was to maintain a trade-off between the fairness and network throughput [16]. It chooses an UE whose metric M is highest.…”

Section: Proportional Fair (Pf)mentioning

confidence: 99%

“…The implementation of this algorithm requires that the packet scheduler at eNodeB time stamps the incoming data packets and keeps track the states of current queue, particularly queue length [16].…”

Section: Maximum-largest Weighted Delay First (M-lwdf)mentioning

confidence: 99%

“…PF properties provide higher priority to the user with better CQI but the EXP rule provides higher priority to the user having more data packets in its buffer [16]. EXP/PF gives higher priority to the RT service users if their HOL packet delays approach delay deadline [21].…”

Section: Exponential/proportional Fair (Exp/pf)mentioning

confidence: 99%

See 2 more Smart Citations

Comparative Analysis of Downlink Packet Scheduling Algorithms in 3GPP LTE Networks

Afroz¹,

Heidari²,

Shehab³

et al. 2015

IJWMN

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“…The goal of this algorithm was to maintain a trade-off between the fairness and network throughput [16]. It chooses an UE whose metric M is highest.…”

Section: Proportional Fair (Pf)mentioning

confidence: 99%

Section: Maximum-largest Weighted Delay First (M-lwdf)mentioning

confidence: 99%

See 1 more Smart Citation

Comparative Analysis of Downlink Packet Scheduling Algorithms in 3GPP LTE Networks

Afroz¹,

Heidari²,

Shehab³

et al. 2015

IJWMN

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show abstract

“…The performance of OFDMA and SC-OFDMA scheduling algorithms has been discussed in previous studies, including [1]- [3]. In [1], various scheduling algorithms are studied in terms of their impact on the service packet delay, packet loss ratios, and throughput.…”

Section: Introductionmentioning

confidence: 99%

“…In [1], various scheduling algorithms are studied in terms of their impact on the service packet delay, packet loss ratios, and throughput. The analysis in [1]- [3] mainly focused on the scheduling performance under static cell resource loads, with the assumption that it is possible to use different MCSs across the assigned RBs.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Practical Frequency Selective Scheduling Algorithms in LTE Networks

Alfarhan¹,

Lerbour²,

Helloco³

et al. 2014

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)

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The use of orthogonal frequency division multiple access (OFDMA) in Long Term Evolution (LTE) and LTE-Advanced systems facilitates the potential for scheduling cell users on orthogonal time-frequency resource blocks selectively. This paper identifies several frequency selective scheduling (FSS) algorithms and studies their performance and optimality under certain identified constraints in practice. The performance is studied under the limiting factors of cell load, user mobility, the number of users per cell, data traffic characteristics, and the LTE standards constraint of using a single modulation and coding scheme (MCS) across assigned resource blocks. To address the single MCS restriction, a dynamic Proportional Fair (PF) scheduling algorithm is developed to achieve optimal allocation under this constraint. The gain either in signal-to-interferenceplus-noise ratio (SINR) or cell throughput achieved from these algorithms is statistically quantified using detailed LTE system level simulations.

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Enhanced fair earliest due date first scheduling strategy for multimedia applications in LTE downlink framework

Elhadad

El‐Shafai

El‐Rabaie

et al. 2020

Int J Communication

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Summary Guaranteeing a certain delay threshold for delay‐sensitive applications in long term evolution (LTE) cellular communication system is a very challenging mission. By implementing an optimal scheduling strategy, this mission will be achieved. In this article, a novel scheduler is introduced in order to meet a predefined level of service quality by guaranteeing a specific delay threshold for delay‐sensitive applications in LTE cellular systems. The proposed scheduler assigns the available resource blocks (RBs) to active user equipments (UEs) tacking into consideration several attributes. The expiration date of each packet, the channel quality, the average data rate previously achieved by each UE, and the number of dropped packets for each UE compared with the average number of packets totally dropped are all considered in the proposed scheduler working mechanism. Consequently, the proposed scheduling strategy reduces the number of packets dropped for multimedia applications, and at the same time maximizes the overall throughput of the network. Simulation results are provided to study and evaluate the performance of the proposed scheduling strategy. A comparative study is presented between the proposed strategy and the most recent scheduling techniques. The obtained results prove that the proposed scheduling strategy has considerably acceptable and appreciated results compared with the results of the state‐of‐the‐art scheduling techniques.

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Comparative Performance Study of LTE Downlink Schedulers

Cited by 27 publications

References 18 publications

Comparative Analysis of Downlink Packet Scheduling Algorithms in 3GPP LTE Networks

Comparative Analysis of Downlink Packet Scheduling Algorithms in 3GPP LTE Networks

Analysis of Practical Frequency Selective Scheduling Algorithms in LTE Networks

Enhanced fair earliest due date first scheduling strategy for multimedia applications in LTE downlink framework

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