Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication

Abbas Mehrabidavoodabadi; Matti Siekkinen; Antti Ylä-Jääski

Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication

Abbas Mehrabidavoodabadi
, Matti Siekkinen
, Antti Ylä-Jääski

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

151 Downloads (Pure)

Abstract

Green mobile edge computing (GMEC) refers to the integration of intermittent renewable energy sources into mobile edge computing architecture. It is a promising solution to overcome the challenges posed by grid-powered
edge servers. On the other hand, direct device-to-device (D2D) communication and caching helps to alleviate the processing tasks at the edges and reduce traffic in the mobile backhaul. Using either D2D or energy harvesting
functionality alone causes some performance loss which can be compensated by enabling both functionalities into the MEC. Motivated by this fact, we investigate how enabling D2D into the green MEC helps to save the grid/renewable
energy consumption without sacrificing user experience or the traffic localization benefits, specifically in the case of on demand video streaming. To this end, we formulate a joint optimization of quality of experience (QoE), backhaul traffic, and grid energy consumption in D2D-enabled GMEC
and design a heuristic-based algorithm with low complexity to solve the problem. Simulation results using both radio link information of the clients and measured solar harvested energy reveal that integrating D2D into GMEC for DASH indeed helps to significantly save the grid/renewable energy
and reduce the backhaul traffic with marginal improvement in quality of video delivered to the clients.

Original language	English
Title of host publication	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Print)	978-1-5386-8110-7
Publication status	Published - 6 Sept 2019
MoE publication type	A4 Conference publication
Event	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Istanbul, Türkiye Duration: 8 Sept 2019 → 11 Sept 2019 Conference number: 30

Conference

Conference	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated title	PIMRC
Country/Territory	Türkiye
City	Istanbul
Period	08/09/2019 → 11/09/2019

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

green computing
multi-access edge computing (MEC)
device-to-device (D2D) communication
dynamic adaptive streaming over HTTP (DASH)
quality of experience (QoE)
backhaul traffic

Access to Document

SCI_Mehrabi_et.al_Green_Edge_Adaptive_Mobile_VideoAccepted author manuscript, 393 KB

Latency-Critical Mobile Multimedia Services and Applications
Siekkinen, M. (Principal investigator), Mehrabidavoodabadi, A. (Project Member), Ylä-Jääski, A. (Project Member), Illahi, G. (Project Member), Xu, J. (Project Member), Zhu, C. (Project Member) & Kämäräinen, T. (Project Member)
01/09/2016 → 31/08/2019
Project: Academy of Finland: Other research funding

Cite this

@inproceedings{4834363bbfc14731b688a2cb9a92d1da,

title = "Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication",

abstract = "Green mobile edge computing (GMEC) refers to the integration of intermittent renewable energy sources into mobile edge computing architecture. It is a promising solution to overcome the challenges posed by grid-powered edge servers. On the other hand, direct device-to-device (D2D) communication and caching helps to alleviate the processing tasks at the edges and reduce traffic in the mobile backhaul. Using either D2D or energy harvesting functionality alone causes some performance loss which can be compensated by enabling both functionalities into the MEC. Motivated by this fact, we investigate how enabling D2D into the green MEC helps to save the grid/renewable energy consumption without sacrificing user experience or the traffic localization benefits, specifically in the case of on demand video streaming. To this end, we formulate a joint optimization of quality of experience (QoE), backhaul traffic, and grid energy consumption in D2D-enabled GMEC and design a heuristic-based algorithm with low complexity to solve the problem. Simulation results using both radio link information of the clients and measured solar harvested energy reveal that integrating D2D into GMEC for DASH indeed helps to significantly save the grid/renewable energy and reduce the backhaul traffic with marginal improvement in quality of video delivered to the clients.",

keywords = "green computing, multi-access edge computing (MEC), device-to-device (D2D) communication, dynamic adaptive streaming over HTTP (DASH), quality of experience (QoE), backhaul traffic",

author = "Abbas Mehrabidavoodabadi and Matti Siekkinen and Antti Yl{\"a}-J{\"a}{\"a}ski",

year = "2019",

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booktitle = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019",

publisher = "IEEE",

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note = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications , PIMRC ; Conference date: 08-09-2019 Through 11-09-2019",

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Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication. / Mehrabidavoodabadi, Abbas; Siekkinen, Matti ; Ylä-Jääski, Antti.
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019 . IEEE, 2019. p. 1-7.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication

AU - Mehrabidavoodabadi, Abbas

AU - Siekkinen, Matti

AU - Ylä-Jääski, Antti

N1 - Conference code: 30

PY - 2019/9/6

Y1 - 2019/9/6

N2 - Green mobile edge computing (GMEC) refers to the integration of intermittent renewable energy sources into mobile edge computing architecture. It is a promising solution to overcome the challenges posed by grid-powered edge servers. On the other hand, direct device-to-device (D2D) communication and caching helps to alleviate the processing tasks at the edges and reduce traffic in the mobile backhaul. Using either D2D or energy harvesting functionality alone causes some performance loss which can be compensated by enabling both functionalities into the MEC. Motivated by this fact, we investigate how enabling D2D into the green MEC helps to save the grid/renewable energy consumption without sacrificing user experience or the traffic localization benefits, specifically in the case of on demand video streaming. To this end, we formulate a joint optimization of quality of experience (QoE), backhaul traffic, and grid energy consumption in D2D-enabled GMEC and design a heuristic-based algorithm with low complexity to solve the problem. Simulation results using both radio link information of the clients and measured solar harvested energy reveal that integrating D2D into GMEC for DASH indeed helps to significantly save the grid/renewable energy and reduce the backhaul traffic with marginal improvement in quality of video delivered to the clients.

AB - Green mobile edge computing (GMEC) refers to the integration of intermittent renewable energy sources into mobile edge computing architecture. It is a promising solution to overcome the challenges posed by grid-powered edge servers. On the other hand, direct device-to-device (D2D) communication and caching helps to alleviate the processing tasks at the edges and reduce traffic in the mobile backhaul. Using either D2D or energy harvesting functionality alone causes some performance loss which can be compensated by enabling both functionalities into the MEC. Motivated by this fact, we investigate how enabling D2D into the green MEC helps to save the grid/renewable energy consumption without sacrificing user experience or the traffic localization benefits, specifically in the case of on demand video streaming. To this end, we formulate a joint optimization of quality of experience (QoE), backhaul traffic, and grid energy consumption in D2D-enabled GMEC and design a heuristic-based algorithm with low complexity to solve the problem. Simulation results using both radio link information of the clients and measured solar harvested energy reveal that integrating D2D into GMEC for DASH indeed helps to significantly save the grid/renewable energy and reduce the backhaul traffic with marginal improvement in quality of video delivered to the clients.

KW - green computing

KW - multi-access edge computing (MEC)

KW - device-to-device (D2D) communication

KW - dynamic adaptive streaming over HTTP (DASH)

KW - quality of experience (QoE)

KW - backhaul traffic

M3 - Conference article in proceedings

SN - 978-1-5386-8110-7

SP - 1

EP - 7

BT - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019

PB - IEEE

T2 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Y2 - 8 September 2019 through 11 September 2019

ER -

Green Edge Adaptive Mobile Video Streaming with Device-to-Device Communication

Abstract

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Projects

Latency-Critical Mobile Multimedia Services and Applications

Cite this