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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2020 - 7

Latency-Rate Downlink Packet Scheduler for LTE Networks

MALHEIROS FRANCO, F. M. See more information about MALHEIROS FRANCO, F. M. on SCOPUS See more information about MALHEIROS FRANCO, F. M. on IEEExplore See more information about MALHEIROS FRANCO, F. M. on Web of Science, FORONDA, A. See more information about  FORONDA, A. on SCOPUS See more information about  FORONDA, A. on SCOPUS See more information about FORONDA, A. on Web of Science, WILLE, E. C. G. See more information about WILLE, E. C. G. on SCOPUS See more information about WILLE, E. C. G. on SCOPUS See more information about WILLE, E. C. G. on Web of Science
 
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Download PDF pdficon (1,337 KB) | Citation | Downloads: 585 | Views: 1,525

Author keywords
wireless networks, channel allocation, 4G mobile communication, heuristic algorithms, streaming media

References keywords
systems(9), communications(9), networks(8), resource(6), allocation(6), scheduling(5), networking(5), link(5), optimization(4), mobile(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-11-30
Volume 20, Issue 4, Year 2020, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.04007
Web of Science Accession Number: 000594393400007
SCOPUS ID: 85098179165

Abstract
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The Long-Term Evolution standard is currently the leading technology used in mobile 4G networks. Under LTE user devices may request services available on the Internet such as voice/video streaming and Web pages. The access to such services is managed by a base station, which does resource scheduling through a multiple access network technology, ensuring Quality of Service. Hence, one of the main challenges regards responding to requests for services that require low latency and high bandwidth. Considering that resource scheduling in LTE networks is a difficult problem this work proposes the Latency-Rate Downlink Packet Scheduler (LR-DPS) for the scheduling of resources of downlink traffic, aiming to meet the maximum delay requirements for the input traffic. The proposal is divided into three hierarchical stages. In the first stage, traffic is bounded by a token bucket. In the second, time allocation and source rates are determined in order to meet the restrictions. In the third stage, the data is allocated in resource blocks in a balanced way, ensuring fairness. The results of the simulations considering different input traffic show that the LR-DPS met the requirements when other known schedulers exceeded the maximum delay requested by up to 90%.


References | Cited By  «-- Click to see who has cited this paper

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[2] S. Afzal, J. Chen, and K. K. Ramakrishnan, "Characterization of 360-degree videos," in Proceedings of the Workshop on Virtual Reality and Augmented Reality Network - VR/AR Network '17, Los Angeles, CA, USA, 2017, pp. 1-6,
[CrossRef] [Web of Science Times Cited 57]


[3] F. Capozzi, G. Piro, L.A. Grieco, G. Boggia, and P. Camarda, "Downlink packet scheduling in LTE cellular networks: key design issues and a survey," IEEE Commun. Surv. Tutorials, vol. 15, no. 2, pp. 678-700, 2013,
[CrossRef] [Web of Science Times Cited 498]


[4] Na Guan, Y. Zhou, Lin Tian, Gang Sun, and Jinglin Shi, "QoS guaranteed resource block allocation algorithm for LTE systems," in 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Shanghai, China, Oct. 2011, pp. 307-312,
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[CrossRef]


[6] Liqun Zhao, Yang Qin, Maode Ma, Xiaoxiong Zhong, and Li Li, "QoS guaranteed resource block allocation algorithm in LTE downlink," in 7th International Conference on Communications and Networking in China, Kun Ming, Aug. 2012, pp. 425-429,
[CrossRef]


[7] W. K. Lai and C.-L. Tang, "QoS-aware downlink packet scheduling for LTE networks," Computer Networks, vol. 57, no. 7, pp. 1689-1698, May 2013,
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[8] N. Ferdosian, M. Othman, B. M. Ali, and K. Y. Lun, "Throughput-aware resource allocation for QoS classes in LTE networks," Procedia Computer Science, vol. 59, pp. 115-122, 2015,
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[9] T. Ghalut, H. Larijani, and A. Shahrabi, "QoE-aware optimization of video stream downlink scheduling over LTE networks using RNNs and genetic algorithm," Procedia Computer Science, vol. 94, pp. 232-239, 2016,
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[CrossRef]


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[14] Harri Holma, Antti Toskala, "LTE for UMTS: OFDMA and SC-FDMA based radio access," ISBN: 978-0-470-74547-2, April, 2009.

[15] D. Stiliadis and A. Varma, "Latency-rate servers: a general model for analysis of traffic scheduling algorithms," IEEE/ACM Trans. Networking, vol. 6, no. 5, pp. 611-624, Oct. 1998,
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[CrossRef]


[18] E. C. G. Wille, M. Mellia, E. Leonardi, and M. Ajmone Marsan, "A Lagrangean relaxation approach for QoS networks CFA problems," AEU - International Journal of Electronics and Communications, vol. 63, no. 9, pp. 743-753, Sep. 2009,
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References Weight

Web of Science® Citations for all references: 1,286 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 48 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-02-27 17:34 in 114 seconds.




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