Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access

Xiangping Zhai; Chee Wei Tan

doi:10.1109/GLOCOM.2017.8254466

Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access

Xiangping Zhai, Chee Wei Tan

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Energy efficiency is one important consideration in designing wireless mobile networks to support a large number of battery-powered mobile terminals. To provider a wider coverage to serve more users, wireless carrier infrastructure from various mobile network operators (MNOs) can be pooled together. For example, a cellular system user can access different kinds of cellular broadband networks with multiple transceivers. MNOs however have different heterogeneous rate function characteristics, and thus present new challenges to wireless network optimization. In this paper, we study the design of energy-efficient power control algorithms in a network with multiple MNOs using a unique log- convexity property of the standard interference function approach. Furthermore, the power control algorithms can be enhanced using the congestion level at each MNO.

Original language	English
Title of host publication	2017 IEEE Global Communications Conference (GLOBECOM) : Proceedings
Publisher	IEEE
ISBN (Electronic)	9781509050192
ISBN (Print)	9781509050208
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254466
Publication status	Published - Dec 2017
Event	2017 IEEE Global Communications Conference (GLOBECOM 2017) - Marina Bay Sands Expo and Convention Centre, Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017 http://globecom2017.ieee-globecom.org/ http://globecom2017.ieee-globecom.org/

Conference

Conference	2017 IEEE Global Communications Conference (GLOBECOM 2017)
Abbreviated title	IEEE GLOBECOM 2017
Place	Singapore
City	Singapore
Period	4/12/17 → 8/12/17
Internet address	http://globecom2017.ieee-globecom.org/ http://globecom2017.ieee-globecom.org/

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

congestion control
energy efficiency
power control
standard interference function
Wireless networks

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abstract = "Energy efficiency is one important consideration in designing wireless mobile networks to support a large number of battery-powered mobile terminals. To provider a wider coverage to serve more users, wireless carrier infrastructure from various mobile network operators (MNOs) can be pooled together. For example, a cellular system user can access different kinds of cellular broadband networks with multiple transceivers. MNOs however have different heterogeneous rate function characteristics, and thus present new challenges to wireless network optimization. In this paper, we study the design of energy-efficient power control algorithms in a network with multiple MNOs using a unique log- convexity property of the standard interference function approach. Furthermore, the power control algorithms can be enhanced using the congestion level at each MNO.",

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AU - Zhai, Xiangping

AU - Tan, Chee Wei

N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

PY - 2017/12

Y1 - 2017/12

N2 - Energy efficiency is one important consideration in designing wireless mobile networks to support a large number of battery-powered mobile terminals. To provider a wider coverage to serve more users, wireless carrier infrastructure from various mobile network operators (MNOs) can be pooled together. For example, a cellular system user can access different kinds of cellular broadband networks with multiple transceivers. MNOs however have different heterogeneous rate function characteristics, and thus present new challenges to wireless network optimization. In this paper, we study the design of energy-efficient power control algorithms in a network with multiple MNOs using a unique log- convexity property of the standard interference function approach. Furthermore, the power control algorithms can be enhanced using the congestion level at each MNO.

AB - Energy efficiency is one important consideration in designing wireless mobile networks to support a large number of battery-powered mobile terminals. To provider a wider coverage to serve more users, wireless carrier infrastructure from various mobile network operators (MNOs) can be pooled together. For example, a cellular system user can access different kinds of cellular broadband networks with multiple transceivers. MNOs however have different heterogeneous rate function characteristics, and thus present new challenges to wireless network optimization. In this paper, we study the design of energy-efficient power control algorithms in a network with multiple MNOs using a unique log- convexity property of the standard interference function approach. Furthermore, the power control algorithms can be enhanced using the congestion level at each MNO.

KW - congestion control

KW - energy efficiency

KW - power control

KW - standard interference function

KW - Wireless networks

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DO - 10.1109/GLOCOM.2017.8254466

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781509050208

BT - 2017 IEEE Global Communications Conference (GLOBECOM) : Proceedings

PB - IEEE

T2 - 2017 IEEE Global Communications Conference (GLOBECOM 2017)

Y2 - 4 December 2017 through 8 December 2017

ER -

Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access

Abstract

Conference

Bibliographical note

UN SDGs

Research Keywords

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