Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices

Kristina Wheatman; Fidan Mehmeti; Mark Mahon; Thomas La Porta; Guohong Cao

doi:10.1145/3416013.3426455

Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices

Kristina Wheatman
, Fidan Mehmeti
, Mark Mahon
, Thomas La Porta
, Guohong Cao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Video streaming on mobile devices necessitates a balance between a users' Quality of Experience (QoE) and energy consumption. Given large data sizes from video, extensive amounts of battery power are required for downloading, processing, and playing each video segment. However, video quality may suffer drastically in an effort to pursue energy efficiency. In balancing these two objectives, our research incorporates advanced energy models, processor clock rates, buffer management, and network quality aware downloading. Furthermore, multi-user systems present unique challenges in optimization given competition for network resources. Our algorithm accounts for these fluctuations and concurrent demands across both many users and many cells. Present application in LTE networks and foundations for future implementation in 5G systems are provided.

Original language	English (US)
Title of host publication	Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks
Publisher	Association for Computing Machinery, Inc
Pages	47-55
Number of pages	9
ISBN (Electronic)	9781450381208
DOIs	https://doi.org/10.1145/3416013.3426455
State	Published - Nov 16 2020
Event	19th ACM symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2020 - Alicante, Spain Duration: Nov 16 2020 → Nov 20 2020

Publication series

Name	Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks

Conference

Conference	19th ACM symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2020
Country/Territory	Spain
City	Alicante
Period	11/16/20 → 11/20/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1145/3416013.3426455

Cite this

Wheatman, K., Mehmeti, F., Mahon, M., La Porta, T., & Cao, G. (2020). Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices. In Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks (pp. 47-55). (Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks). Association for Computing Machinery, Inc. https://doi.org/10.1145/3416013.3426455

Wheatman, Kristina ; Mehmeti, Fidan ; Mahon, Mark et al. / Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices. Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks. Association for Computing Machinery, Inc, 2020. pp. 47-55 (Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks).

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title = "Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices",

abstract = "Video streaming on mobile devices necessitates a balance between a users' Quality of Experience (QoE) and energy consumption. Given large data sizes from video, extensive amounts of battery power are required for downloading, processing, and playing each video segment. However, video quality may suffer drastically in an effort to pursue energy efficiency. In balancing these two objectives, our research incorporates advanced energy models, processor clock rates, buffer management, and network quality aware downloading. Furthermore, multi-user systems present unique challenges in optimization given competition for network resources. Our algorithm accounts for these fluctuations and concurrent demands across both many users and many cells. Present application in LTE networks and foundations for future implementation in 5G systems are provided.",

author = "Kristina Wheatman and Fidan Mehmeti and Mark Mahon and \{La Porta\}, Thomas and Guohong Cao",

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Wheatman, K, Mehmeti, F, Mahon, M, La Porta, T & Cao, G 2020, Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices. in Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks. Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Association for Computing Machinery, Inc, pp. 47-55, 19th ACM symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet 2020, Alicante, Spain, 11/16/20. https://doi.org/10.1145/3416013.3426455

Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices. / Wheatman, Kristina; Mehmeti, Fidan; Mahon, Mark et al.
Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks. Association for Computing Machinery, Inc, 2020. p. 47-55 (Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices

AU - Wheatman, Kristina

AU - Mehmeti, Fidan

AU - Mahon, Mark

AU - La Porta, Thomas

AU - Cao, Guohong

PY - 2020/11/16

Y1 - 2020/11/16

N2 - Video streaming on mobile devices necessitates a balance between a users' Quality of Experience (QoE) and energy consumption. Given large data sizes from video, extensive amounts of battery power are required for downloading, processing, and playing each video segment. However, video quality may suffer drastically in an effort to pursue energy efficiency. In balancing these two objectives, our research incorporates advanced energy models, processor clock rates, buffer management, and network quality aware downloading. Furthermore, multi-user systems present unique challenges in optimization given competition for network resources. Our algorithm accounts for these fluctuations and concurrent demands across both many users and many cells. Present application in LTE networks and foundations for future implementation in 5G systems are provided.

AB - Video streaming on mobile devices necessitates a balance between a users' Quality of Experience (QoE) and energy consumption. Given large data sizes from video, extensive amounts of battery power are required for downloading, processing, and playing each video segment. However, video quality may suffer drastically in an effort to pursue energy efficiency. In balancing these two objectives, our research incorporates advanced energy models, processor clock rates, buffer management, and network quality aware downloading. Furthermore, multi-user systems present unique challenges in optimization given competition for network resources. Our algorithm accounts for these fluctuations and concurrent demands across both many users and many cells. Present application in LTE networks and foundations for future implementation in 5G systems are provided.

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BT - Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks

PB - Association for Computing Machinery, Inc

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Wheatman K, Mehmeti F, Mahon M, La Porta T , Cao G. Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices. In Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks. Association for Computing Machinery, Inc. 2020. p. 47-55. (Q2SWinet 2020 - Proceedings of the 16th ACM Symposium on QoS and Security for Wireless and Mobile Networks). doi: 10.1145/3416013.3426455

Multi-User Competitive Energy-Aware and QoE-Aware Video Streaming on Mobile Devices

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this