NDLI: Adaptive power management for wireless base stations in a smart grid environment

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IEEE Wireless Communications - front cover

Table of contents

Spectrum efficiency, energy saving, and security are still foundational issues to tackle [Message From The Editor In Chief]

Spectrum sharing issues on both sides of the atlantic

Scanning the literature

Enabling pervasive healthcare through continuous remote health monitoring

On combating the half-duplex constraint in modern cooperative networks: protocols and techniques

Personal satellite communication: technologies and challenges

What if wireless routers were social? approaching wireless mesh networks from a social networks perspective

Adaptive power management for wireless base stations in a smart grid environment

Relaying technologies for smart grid communications

Toward energy-efficient error control in 3G broadcast video

Efficiency of dynamic frequency selection based coexistence mechanisms for tv white space enabled cognitive wireless access points

3GPP radio resource control in practice

Reconfigurable performance measurement system-on-a-chip for baseband wireless algorithm design and verification

The COST 2100 MIMO channel model

Energy-efficient cooperative spectrum sensing in sensor-aided cognitive radio networks

Security and privacy of collaborative spectrum sensing in cognitive radio networks

OFDMA with variable tone spaces

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Adaptive power management for wireless base stations in a smart grid environment

Content Provider	IEEE Xplore Digital Library
Author	Niyato, D. Xiao Lu Ping Wang
Copyright Year	2002
Abstract	The growing concerns of a global environmental change leads to a revolution in the way energy is utilized. In the wireless industry, green wireless communications has recently gained increasing attention and is expected to play a major role in the reduction of electrical power consumption. Actions to promote energy saving of wireless communications with regard to environmental protection are becoming imperative. To this purpose, we study a green communications system model where a wireless base station is provisioned with a combination of a renewable power source and the electrical grid to minimize the cost of power consumption as well as meet the users' demand. More specifically, we focus on adaptive power management for a wireless base station under various uncertainties, including renewable power generation, power price, and wireless traffic load. We believe that demand-side power management solutions based on the studied communication architecture is a major step toward green wireless communications.
File Size	327939
File Format	PDF
ISSN	15361284
Volume Number	19
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system management Base stations Power demand Smart grids Green products Stochastic processes Air pollution
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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