• DocumentCode
    3600588
  • Title

    Energy-Efficient Transmissions for Green Base Stations With a Novel Carrier Activation Algorithm: A System-Level Perspective

  • Author

    Yao-Liang Chung

  • Author_Institution
    Dept. of Commun. Eng., Nat. Taipei Univ., New Taipei, Taiwan
  • Volume
    9
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1252
  • Lastpage
    1263
  • Abstract
    A base station (BS) that enables multiple component carriers (CCs) to be jointly utilized for data transmissions is one of the most advanced cellular systems. This kind of BS aims to cope with the amazingly fast-growing demand from various users. However, such a BS is the most energy-intensive part of a cellular network because the activation of its additional CCs consumes a large amount of energy, which, in turn, causes environmental problems and higher costs for cellular operators. Consequently, how to efficiently save energy when using a multi-CC BS is an increasingly critical concern in the deployment of green cellular networks. This paper builds a practical framework for studying energy-efficient transmissions for a multi-CC BS from a system-level perspective involving both radio resource allocation and CC activation/deactivation, while also presenting several new transmission schemes for use in the multi-CC BS. In these schemes, a novel energy-saving algorithm for activating/deactivating CCs is combined with different radio resource allocation approaches, respectively. Simulation results demonstrate that these schemes have much better energy-saving performance than that of the conventional one. Furthermore, comparisons among the presented schemes are detailed.
  • Keywords
    cellular radio; BS; CC; cellular operators; cellular systems; data transmissions; energy efficient transmissions; energy saving algorithm; green base stations; green cellular networks; multiple component carriers; novel carrier activation algorithm; radio resource allocation; system level perspective; Algorithm design and analysis; Energy consumption; Green products; Heuristic algorithms; Niobium; Optimization; Resource management; Energy efficient; energy saving; green base stations (BSs); modeling; system level;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2014.2331030
  • Filename
    6867314