Energy cooperation and traffic management in cellular networks with renewable energy

Hyun Suk Lee; Jang Won Lee

doi:10.1109/GLOCOM.2016.7841789

Energy cooperation and traffic management in cellular networks with renewable energy

Hyun Suk Lee, Jang Won Lee

Department of Electrical and Electronic Engineering

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

6 Citations (Scopus)

Abstract

In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e., the minimum average data rates. By using the Lyapunov optimization framework, we develop a joint adaptive energy cooperation and traffic management algorithm which does not need the statistical information of the system. Then, we provide the performance analysis which shows our proposed algorithm is asymptotically optimal. Through the simulation results, we verify the theoretical analysis and show that the performance of our algorithm.

Original language	English
Title of host publication	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509013289
DOIs	https://doi.org/10.1109/GLOCOM.2016.7841789
Publication status	Published - 2016
Event	59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: 2016 Dec 4 → 2016 Dec 8

Publication series

Name	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

Other

Other	59th IEEE Global Communications Conference, GLOBECOM 2016
Country/Territory	United States
City	Washington
Period	16/12/4 → 16/12/8

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Networks and Communications
Hardware and Architecture
Safety, Risk, Reliability and Quality

UN SDGs

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

Access to Document

10.1109/GLOCOM.2016.7841789

Cite this

Lee, H. S., & Lee, J. W. (2016). Energy cooperation and traffic management in cellular networks with renewable energy. In 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings Article 7841789 (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2016.7841789

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title = "Energy cooperation and traffic management in cellular networks with renewable energy",

abstract = "In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e., the minimum average data rates. By using the Lyapunov optimization framework, we develop a joint adaptive energy cooperation and traffic management algorithm which does not need the statistical information of the system. Then, we provide the performance analysis which shows our proposed algorithm is asymptotically optimal. Through the simulation results, we verify the theoretical analysis and show that the performance of our algorithm.",

author = "Lee, {Hyun Suk} and Lee, {Jang Won}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 59th IEEE Global Communications Conference, GLOBECOM 2016 ; Conference date: 04-12-2016 Through 08-12-2016",

year = "2016",

doi = "10.1109/GLOCOM.2016.7841789",

language = "English",

series = "2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings",

address = "United States",

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Lee, HS & Lee, JW 2016, Energy cooperation and traffic management in cellular networks with renewable energy. in 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings., 7841789, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 59th IEEE Global Communications Conference, GLOBECOM 2016, Washington, United States, 16/12/4. https://doi.org/10.1109/GLOCOM.2016.7841789

Energy cooperation and traffic management in cellular networks with renewable energy. / Lee, Hyun Suk; Lee, Jang Won.
2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7841789 (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings).

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

TY - GEN

T1 - Energy cooperation and traffic management in cellular networks with renewable energy

AU - Lee, Hyun Suk

AU - Lee, Jang Won

PY - 2016

Y1 - 2016

N2 - In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e., the minimum average data rates. By using the Lyapunov optimization framework, we develop a joint adaptive energy cooperation and traffic management algorithm which does not need the statistical information of the system. Then, we provide the performance analysis which shows our proposed algorithm is asymptotically optimal. Through the simulation results, we verify the theoretical analysis and show that the performance of our algorithm.

AB - In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e., the minimum average data rates. By using the Lyapunov optimization framework, we develop a joint adaptive energy cooperation and traffic management algorithm which does not need the statistical information of the system. Then, we provide the performance analysis which shows our proposed algorithm is asymptotically optimal. Through the simulation results, we verify the theoretical analysis and show that the performance of our algorithm.

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DO - 10.1109/GLOCOM.2016.7841789

M3 - Conference contribution

AN - SCOPUS:85015456517

T3 - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016

Y2 - 4 December 2016 through 8 December 2016

ER -

Energy cooperation and traffic management in cellular networks with renewable energy

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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Cite this