Energy-aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks

Farhad Hossain, Kumudu MUNASINGHE, Abbas Jamalipour

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    In this paper, we propose traffic-sensitive dynamic sectorization (DS) of base stations (BSs) for energy savings in OFDMA-based cellular access networks. Under the proposal, following the tempo-spatial traffic diversity, BSs are dynamically reconfigured using fewer sectors. User data rates, service continuity and network coverage are also maintained. A generalized energy saving optimization problem is formulated, which is a challenging combinatorial problem. Therefore, a low complexity greedy style heuristic algorithm is presented. Effectiveness of the scheme is demonstrated using Monte Carlo simulations, which is further validated by comparing with semi-static sector switching, optimal exhaustive search and a BS on/off based technique
    Original languageEnglish
    Pages (from-to)587-590
    Number of pages4
    JournalWireless Communications Letters
    Volume2
    Issue number6
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Base stations
    Energy conservation
    Heuristic algorithms
    Monte Carlo simulation

    Cite this

    @article{f4f38ea3b4bd4196bb996ca1e3628a12,
    title = "Energy-aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks",
    abstract = "In this paper, we propose traffic-sensitive dynamic sectorization (DS) of base stations (BSs) for energy savings in OFDMA-based cellular access networks. Under the proposal, following the tempo-spatial traffic diversity, BSs are dynamically reconfigured using fewer sectors. User data rates, service continuity and network coverage are also maintained. A generalized energy saving optimization problem is formulated, which is a challenging combinatorial problem. Therefore, a low complexity greedy style heuristic algorithm is presented. Effectiveness of the scheme is demonstrated using Monte Carlo simulations, which is further validated by comparing with semi-static sector switching, optimal exhaustive search and a BS on/off based technique",
    keywords = "Celluar Networks, Energy Efficency, Radio Acces network",
    author = "Farhad Hossain and Kumudu MUNASINGHE and Abbas Jamalipour",
    year = "2013",
    doi = "10.1109/WCL.2013.080813.130481",
    language = "English",
    volume = "2",
    pages = "587--590",
    journal = "Wireless Communications Letters",
    issn = "2162-2337",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    number = "6",

    }

    Energy-aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks. / Hossain, Farhad; MUNASINGHE, Kumudu; Jamalipour, Abbas.

    In: Wireless Communications Letters, Vol. 2, No. 6, 2013, p. 587-590.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Energy-aware Dynamic Sectorization of Base Stations in Multi-Cell OFDMA Networks

    AU - Hossain, Farhad

    AU - MUNASINGHE, Kumudu

    AU - Jamalipour, Abbas

    PY - 2013

    Y1 - 2013

    N2 - In this paper, we propose traffic-sensitive dynamic sectorization (DS) of base stations (BSs) for energy savings in OFDMA-based cellular access networks. Under the proposal, following the tempo-spatial traffic diversity, BSs are dynamically reconfigured using fewer sectors. User data rates, service continuity and network coverage are also maintained. A generalized energy saving optimization problem is formulated, which is a challenging combinatorial problem. Therefore, a low complexity greedy style heuristic algorithm is presented. Effectiveness of the scheme is demonstrated using Monte Carlo simulations, which is further validated by comparing with semi-static sector switching, optimal exhaustive search and a BS on/off based technique

    AB - In this paper, we propose traffic-sensitive dynamic sectorization (DS) of base stations (BSs) for energy savings in OFDMA-based cellular access networks. Under the proposal, following the tempo-spatial traffic diversity, BSs are dynamically reconfigured using fewer sectors. User data rates, service continuity and network coverage are also maintained. A generalized energy saving optimization problem is formulated, which is a challenging combinatorial problem. Therefore, a low complexity greedy style heuristic algorithm is presented. Effectiveness of the scheme is demonstrated using Monte Carlo simulations, which is further validated by comparing with semi-static sector switching, optimal exhaustive search and a BS on/off based technique

    KW - Celluar Networks

    KW - Energy Efficency

    KW - Radio Acces network

    U2 - 10.1109/WCL.2013.080813.130481

    DO - 10.1109/WCL.2013.080813.130481

    M3 - Article

    VL - 2

    SP - 587

    EP - 590

    JO - Wireless Communications Letters

    JF - Wireless Communications Letters

    SN - 2162-2337

    IS - 6

    ER -