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short-paper

Pulsar: improving throughput estimation in enterprise LTE small cells

Authors:

Uma Parthavi Moravapalle,

Shruti Sanadhya,

Abhinav Parate,

Kyu-Han KimAuthors Info & Claims

CoNEXT '15: Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies

Article No.: 20, Pages 1 - 7

https://doi.org/10.1145/2716281.2836105

Published: 01 December 2015 Publication History

Abstract

With the great success of LTE(-A) outdoor, LTE-based small cell technology has become popular and is penetrating indoor enterprise environment, co-existing with WiFi networks, to provide better user experience or Quality-of-Experience (QoE). However, accurate estimation of LTE links is challenging and critical to continue providing QoE for many enterprise applications (e.g., video/audio) and services (network selection). While prior work on LTE link throughput estimation depends mostly on a single factor (e.g., link rate), we argue that it needs to consider more factors to improve the estimation to meet increasing demands on QoE. In this paper, we propose a new metric, called Pulsar (Per-user LTE ShAre of Resources), that estimates per flow throughput in LTE networks by leveraging both underlying channel information and application traffic characteristics. Our extensive evaluation study through ns-3 shows that Pulsar reduces the estimation error more than 92%, compared to prior work, in various scenarios, while keeping estimation overhead low.

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Cited By

Lopes RRocha FSargento SLuís MLeitão RMarques EAntunes B(2022)A multi-layer probing approach for video over 5G in vehicular scenariosVehicular Communications10.1016/j.vehcom.2022.10053438:COnline publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1016/j.vehcom.2022.100534
Lin SJiang S(2020)Learn-ing-Based On-AP TCP Performance EnhancementWireless Communications & Mobile Computing10.1155/2020/88634202020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/8863420
Rao ASteinert R(2018)Probabilistic multi-RAT performance abstractionsNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406277(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/NOMS.2018.8406277
Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences

CoNEXT '15: Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies

December 2015

483 pages

ISBN:9781450334129

DOI:10.1145/2716281

General Chairs:
Felipe Huici
NEC Europe Ltd
,
Giuseppe Bianchi
University of Rome Tor Vergata

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2015

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Short-paper

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CoNEXT '15

Sponsor:

SIGCOMM

CoNEXT '15: Conference on emerging Networking Experiments and Technologies

December 1 - 4, 2015

Heidelberg, Germany

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Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

Lopes RRocha FSargento SLuís MLeitão RMarques EAntunes B(2022)A multi-layer probing approach for video over 5G in vehicular scenariosVehicular Communications10.1016/j.vehcom.2022.10053438:COnline publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1016/j.vehcom.2022.100534
Lin SJiang S(2020)Learn-ing-Based On-AP TCP Performance EnhancementWireless Communications & Mobile Computing10.1155/2020/88634202020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/8863420
Rao ASteinert R(2018)Probabilistic multi-RAT performance abstractionsNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406277(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/NOMS.2018.8406277
Guo WMahendran VRadhakrishnan S(2016)Achieving throughput fairness in smart grid using SDN-based flow aggregation and scheduling2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2016.7763209(1-7)Online publication date: Oct-2016
https://doi.org/10.1109/WiMOB.2016.7763209
Zhang YChen MZhang YChen M(2016)5G-Based ApplicationsCloud Based 5G Wireless Networks10.1007/978-3-319-47343-7_7(79-84)Online publication date: 11-Nov-2016
https://doi.org/10.1007/978-3-319-47343-7_7

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