Optimizing Spectrum-Energy Efficiency in Downlink Cellular Networks

    Authors

    C. C. Hsu; J. M. Chang; Z. T. Chou;Z. Abichar

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    IEEE. Trans. Mob. Comput.

    Keywords

    Network optimization; energy saving; spectrum efficiency; revenue-cost; ratio; ACCESS; Computer Science, Information Systems; Telecommunications

    Abstract

    The popularity of smart mobile devices has brought significant growth of data services for mobile service providers. Mobile users of data services are charged based on the amount of data used. Raising served data amount seemingly increases the profit; energy consumption rises correspondingly. Besides, spectral resources are licensed and limited for mobile operators to allocate. Increasing data services over the spectrum for the profit does not count the cost of energy. To assess the profitability, considered is the revenue-to-cost ratio. Optimizing the ratio is an economic incentive for mobile operators. Revenue is regarded as efficiency in spectrum use, the cost as energy consumption; therefore we interpret the revenue-to-cost ratio as spectrum-energy efficiency. In this paper, we study the spectrum-energy efficiency optimization problem where BSs are with the ability to perform cell zooming, sleep mode, and user migration. We formulate the problem into an integer linear program which is solvable by CPLEX to maximize spectrum-energy efficiency; meanwhile traffic demands by associated users in multicell/multiuser networks are met. To avoid high computation time, a heuristic algorithm is proposed to efficiently solve the formulated problem. Numerical analysis through case studies demonstrates energy consumption and efficiency improvements, and comparisons between near-optimal solutions against optimality.

    Journal Title

    Ieee Transactions on Mobile Computing

    Volume

    13

    Issue/Number

    9

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    2100

    Last Page

    2112

    WOS Identifier

    WOS:000342162100015

    ISSN

    1536-1233

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