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    Joint resource blocks switching off and bandwidth expansion for energy saving in LTE networks

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    Authors
    Kanwal, Kapil
    Safdar, Ghazanfar Ali
    Haxha, Shyqyri
    Affiliation
    University of Bedfordshire
    Issue Date
    2015-11-02
    Subjects
    bandwidth expansion
    OPEX
    Long Term Evolution
    energy saving
    resource blocks switching
    
    Metadata
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    Abstract
    In the wireless networks community, Long Term Evolution (LTE) facilitates users with high data rate at the cost of increased energy consumption. The base station (BS) also known as eNodeBs are the main energy hungry elements in LTE networks. Power is consumed by different components of BS such as Baseband Unit (BB), Power Amplifier (PA) and other cooling systems. Since power consumption directly affects the Operational Expenditure (OPEX), thus the provision of cost effective services with adequate quality of service (QoS) has become a major challenge. Moreover, the energy consumed by Information and Communication Technology (ICT) appliances contributes 2% to global warming (CO2 emission), which is another significant problem. This paper presents a joint resource blocks switching off and bandwidth expansion energy saving scheme for LTE networks. Performance analysis of the proposed scheme has revealed that it is around 29% energy efficient as compared to the benchmark LTE systems.
    Citation
    Kanwal K, Safdar G, Haxha S (2015) 'Joint resource blocks switching off and bandwidth expansion for energy saving in LTE networks', 21st International Conference on Automation and Computing (ICAC) - Glasgow, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624235
    DOI
    10.1109/IConAC.2015.7313950
    Additional Links
    https://ieeexplore.ieee.org/document/7313950
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9780992680107
    ae974a485f413a2113503eed53cd6c53
    10.1109/IConAC.2015.7313950
    Scopus Count
    Collections
    Computing

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