QoE-based performance evaluation of scheduling algorithms over LTE

Alfayly, Ali; Mkwawa, Is-Haka; Sun, Lingfen; Ifeachor, Emmanuel

doi:10.1109/glocomw.2012.6477781

Cited by 31 publications

(22 citation statements)

References 8 publications

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“…In addition, the scheduling algorithm must also consider fairness and QoS requirements of users' service. Previous works in [13]- [16] investigated the influence of several scheduling algorithms with variety designs intended to improve the data rate, fairness, and QoS in the downlink LTE system.…”

Section: A Lte Frame Structurementioning

confidence: 99%

Proportional fairness with adaptive bandwidth allocation for video service in downlink LTE

Mustika

Nurcahyani

2015

2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT)

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LTE is the next step of the broadband cellular technology evolution. It is referred as the fourth generation (4G) technology which offers better performance in throughput, latency, and spectral efficiency. It uses OFDM that is proven to combat inter-symbol-interference (ISI), multipath fading, and enabling scalable bandwidth allocation. Downlink LTE uses OFDM technology variation called OFDMA which enables multiple users accessing system resources at the same time. The increasing demand of real time services with larger bandwidth requirement makes the utilization of scheduling algorithms to manage system resource is very important. A scheduling algorithm which resides in eNB plays a key role in optimizing network capacity, throughput, and cell edge performances. The Proportional Fairness algorithm offers a good trade-off between total throughput and fairness values for users handled in the network. In this paper, we use Proportional Fairness algorithm with adaptive bandwidth allocation in LTE downlink system in order to improve scheduler performance when handling real time video service. The simulation results show that the proposed algorithm is able to increase system performance in terms of throughput, delay, and fairness.

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Section: A Lte Frame Structurementioning

confidence: 99%

Proportional fairness with adaptive bandwidth allocation for video service in downlink LTE

Mustika

Nurcahyani

2015

2015 IEEE International Conference on Communication, Networks and Satellite (COMNESTAT)

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“…Reference [20] investigated and evaluated the performance of three popular LTE downlink schedulers (proportional fairness (PF), exponential proportional fairness (EXP-PF), and modified largest weight delay first (M-LWDF)) for VoIP applications. In [21], the packet scheduling procedure is divided into time and frequency domain.…”

Section: Proposed Qoe-oriented Scheduling Schemementioning

confidence: 99%

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

Liu

Zhu

et al. 2015

2015 IEEE Symposium on Computers and Communication (ISCC)

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In LTE system, HTTP streaming services sometimes experience video quality deterioration because of the constraint of available wireless resources, which leads to reduce of Quality of Experience (QoE). In this paper, we propose a new scheduling scheme which is QoE-oriented from user's perceptive to improve the performance of HTTP streaming service in a LTE system. First of all, we adopt the jerkiness, frame freezing for example, perceived at an end user as the prominent QoE factor and implement a jerkiness measuring algorithm on end devices. Secondly, we implement a prioritized traffic flow scheduling algorithm at the base station, and put the end users who experience the maximum jerkiness to be scheduled with the highest priority. Finally, we compare the performance of the proposed QoE-oriented scheme with the traditional scheduling algorithm (i.e. Round Robin scheduling algorithm) in terms of jerkiness for HTTP streaming service. Simulation result shows that the proposed scheme can dramatically improve QoE from user's perspective by effectively decrease the jerkiness of HTTP streaming video.

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“…The authors in [21] show that MLWDF provides better QoS and Quality of Experience (QoE) than other scheduling algorithms in terms of packet loss ratio and delay. In [22], an MLWDF based joint scheduling has been proposed with multiple traffic classes, where the priority of traffic class and waiting time in the queue of each packet are considered. Although the authors assume that the average SINR for each user is the same, they also ignore the Channel Quality Indicator (CQI) feedback.…”

Section: Related Workmentioning

confidence: 99%

“…The MLWDF scheduling algorithm has been studied in [20][21][22] to analyze the performance and maximize the QoS of cell user. A delay priority based algorithm is used in [20] where the user gets higher priority if the packet delay is close to the threshold for real-time data.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

et al. 2017

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Long Term Evolution (LTE) is the prominent technology in Fourth Generation (4G) communication standards, which provides higher throughput and better Quality of Service (QoS) to all users. However, users in the cell-edge area are receiving comparatively low QoS due to the distance from eNodeB (eNB) and bad channel conditions. The Conventional Modified Largest Weighted Delay First (MLWDF) algorithm is unable to resolve this issue, as it does not consider the location of the user. This paper proposes an extended MLWDF (EMLWDF) downlink scheduling algorithm to provide better services to the cell-edge user as well as to the cell-center user. The proposed algorithm divides the eNB cell area into inner and outer regions. It includes the distance of the user from attached eNB, received Signal to Interference plus Noise Ratio (SINR) and error probability into the original algorithm. The simulated results are compared with other well-known algorithms and the comparison shows that the proposed algorithm enhances overall 56.23% of cell-edge user throughput and significantly improves the average user throughput, fairness index, and spectral efficiency.

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QoE-based performance evaluation of scheduling algorithms over LTE

Cited by 31 publications

References 8 publications

Proportional fairness with adaptive bandwidth allocation for video service in downlink LTE

Proportional fairness with adaptive bandwidth allocation for video service in downlink LTE

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

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