Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks

Zhenyu Zhou, Mianxiong Dong, Kaoru Ota, Jun Wu, Takuro Sato

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    38 Citations (Scopus)

    Abstract

    The introduction of device-to-device (D2D) into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of user equipments (UEs). In this paper, we propose a distributed interference-aware energy-efficient resource allocation algorithm to maximize each UE's energy efficiency (EE) subject to its specific quality of service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. The formulated EE maximization problem is a non-convex problem and is transformed into a convex optimization problem by exploiting the properties of the nonlinear fractional programming. An iterative optimization algorithm is proposed and verified through computer simulations.

    Original languageEnglish
    Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4454-4459
    Number of pages6
    ISBN (Electronic)9781479935116
    DOIs
    Publication statusPublished - 2014 Feb 9
    Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
    Duration: 2014 Dec 82014 Dec 12

    Other

    Other2014 IEEE Global Communications Conference, GLOBECOM 2014
    CountryUnited States
    CityAustin
    Period14/12/814/12/12

    Fingerprint

    Cellular radio systems
    Resource allocation
    Energy efficiency
    interference
    communications
    energy
    resources
    efficiency
    Convex optimization
    Power transmission
    Quality of service
    computer simulation
    programming
    Computer simulation

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Networks and Communications
    • Communication

    Cite this

    Zhou, Z., Dong, M., Ota, K., Wu, J., & Sato, T. (2014). Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 4454-4459). [7037509] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037509

    Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. / Zhou, Zhenyu; Dong, Mianxiong; Ota, Kaoru; Wu, Jun; Sato, Takuro.

    2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 4454-4459 7037509.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Zhou, Z, Dong, M, Ota, K, Wu, J & Sato, T 2014, Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. in 2014 IEEE Global Communications Conference, GLOBECOM 2014., 7037509, Institute of Electrical and Electronics Engineers Inc., pp. 4454-4459, 2014 IEEE Global Communications Conference, GLOBECOM 2014, Austin, United States, 14/12/8. https://doi.org/10.1109/GLOCOM.2014.7037509
    Zhou Z, Dong M, Ota K, Wu J, Sato T. Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. In 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 4454-4459. 7037509 https://doi.org/10.1109/GLOCOM.2014.7037509
    Zhou, Zhenyu ; Dong, Mianxiong ; Ota, Kaoru ; Wu, Jun ; Sato, Takuro. / Distributed interference-aware energy-efficient resource allocation for device-to-device communications underlaying cellular networks. 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 4454-4459
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