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    Achieving energy efficiency in LTE with joint D2D communications and green networking techniques

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    Type
    Conference Paper
    Authors
    Yaacoub, Elias E.
    Ghazzai, Hakim cc
    Alouini, Mohamed-Slim cc
    Abu-Dayya, Adnan A.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2013-07
    Permanent link to this record
    http://hdl.handle.net/10754/564764
    
    Metadata
    Show full item record
    Abstract
    In this paper, the joint operation of cooperative device-to-device (D2D) communications and green cellular communications is investigated. An efficient approach for grouping mobile terminals (MTs) into cooperative clusters is described. In each cluster, MTs cooperate via D2D communications to share content of common interest. Furthermore, an energy-efficient technique for putting BSs in sleep mode in an LTE cellular network is presented. Finally, both methods are combined in order to ensure green communications for both the users' MTs and the operator's BSs. The studied methods are investigated in the framework of OFDMA-based state-of-the-art LTE cellular networks, while taking into account intercell interference and resource allocation. © 2013 IEEE.
    Citation
    Yaacoub, E., Ghazzai, H., Alouini, M.-S., & Abu-Dayya, A. (2013). Achieving energy efficiency in LTE with joint D2D communications and green networking techniques. 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC). doi:10.1109/iwcmc.2013.6583571
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)
    Conference/Event name
    2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
    ISBN
    9781467324793
    DOI
    10.1109/IWCMC.2013.6583571
    ae974a485f413a2113503eed53cd6c53
    10.1109/IWCMC.2013.6583571
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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