In this paper, the energy efficiency in a cellular network with device-to-device communications is studied. A mixed-integer max-min optimization problem is formulated with both mode selection and resource allocation. Since the optimal solution requires an exhaustive search, a low-complexity decomposition (LCD) method is derived. A fairness-aware mode selection scheme, a subcarrier assignment scheme, and a mode switching scheme are introduced and analyzed. Moreover, a novel power allocation scheme is proposed, which exploits the property of the fractional structure of the energy efficiency optimization problem over multiple subcarriers. The proposed LCD method is scalable and suitable for a large number of users and subcarriers. Simulation results demonstrate that our proposed LCD method achieves satisfactory energy efficiency performance and promotes the fairness among individual users.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Low-Complexity Mode Selection and Resource Allocation for Energy-Efficient D2D Communications


    Contributors:
    Guo, Shengjie (author) / Zhou, Xiangwei (author) / Xiao, Sa (author) / Sun, Mingxuan (author)


    Publication date :

    2018-08-01


    Size :

    192837 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Transmission Mode Selection and Resource Allocation for D2D Unicast Communications

    Gupta, Richa / Kumar P. R., Ajith / Kalyanasundaram, Suresh | IEEE | 2016



    A Computationally Efficient Adaptive Resource Allocation Scheme for M2M Communications

    Wu, Yali / Zhang, Ningbo / Kang, Guixia et al. | IEEE | 2016


    Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

    Jameel, Furqan / Khan, Wali Ullah / Kumar, Neeraj et al. | IEEE | 2021


    Energy Efficient Resource Allocation for Secure NOMA Networks

    Zhang, Haijun / Yang, Ning / Long, Keping et al. | IEEE | 2018