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Energy cost optimization for strongly stable multi-hop green cellular networks

Author: Weixian Liao; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
Publisher: Mississippi State : Mississippi State University, 2015.
Dissertation: Thesis (M.S.) Mississippi State University. Department of Electrical and Computer Engineering 2015.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English
Summary:
Last decade witnessed the explosive growth in mobile devices and their traffic demand, and hence the significant increase in the energy cost of the cellular service providers. One major component of energy expenditure comes from the operation of base stations. How to reduce energy cost of base stations while satisfying users’ soaring demands has become an imperative yet challenging problem. In this dissertation, we  Read more...
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Genre/Form: Academic theses
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Weixian Liao; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
OCLC Number: 934598814
Description: 1 online resource (vi, 47 pages) : color charts
Details: Mode of access: Internet via the World Wide Web.; System requirements: Internet connectivity; World Wide Web browser software; Adobe Acrobat Reader.
Responsibility: by Weixian Liao.
More information:

Abstract:

Last decade witnessed the explosive growth in mobile devices and their traffic demand, and hence the significant increase in the energy cost of the cellular service providers. One major component of energy expenditure comes from the operation of base stations. How to reduce energy cost of base stations while satisfying users’ soaring demands has become an imperative yet challenging problem. In this dissertation, we investigate the minimization of the long-term time-averaged expected energy cost while guaranteeing network strong stability. Specifically, considering flow routing, link scheduling, and energy constraints, we formulate a time-coupling stochastic Mixed-Integer Non-Linear Programming (MINLP) problem, which is prohibitively expensive to solve. We reformulate the problem by employing Lyapunov optimization theory and develop a decomposition based algorithm which ensures network strong stability. We obtain the bounds on the optimal result of the original problem and demonstrate the tightness of the bounds and the efficacy of the proposed scheme.

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