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Mobile Networks and Management. 10th EAI International Conference, MONAMI 2020, Chiba, Japan, November 10–12, 2020, Proceedings

Research Article

Distributed Spectrum and Power Allocation for D2D-U Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-64002-6_11,
        author={Zhiqun Zou and Rui Yin and Celimuge Wu and Jiantao Yuan and Xianfu Chen},
        title={Distributed Spectrum and Power Allocation for D2D-U Networks},
        proceedings={Mobile Networks and Management. 10th EAI International Conference, MONAMI 2020, Chiba, Japan, November 10--12, 2020, Proceedings},
        proceedings_a={MONAMI},
        year={2020},
        month={12},
        keywords={D2D-U Resource allocation Price model Neural network},
        doi={10.1007/978-3-030-64002-6_11}
    }
    
  • Zhiqun Zou
    Rui Yin
    Celimuge Wu
    Jiantao Yuan
    Xianfu Chen
    Year: 2020
    Distributed Spectrum and Power Allocation for D2D-U Networks
    MONAMI
    Springer
    DOI: 10.1007/978-3-030-64002-6_11
Zhiqun Zou1,*, Rui Yin1, Celimuge Wu2, Jiantao Yuan3, Xianfu Chen
  • 1: School of Information and Electrical Engineering, Zhejiang University City College
  • 2: Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi
  • 3: Institute of Ocean Sensing and Networking of the Ocean College
*Contact email: zouzhiqun@zju.edu.cn

Abstract

In this paper, a distributed power and spectrum allocation scheme is proposed forDevice-to-Device communication on unlicensed bands(D2D-U) enabled networks. To make full use of the spectrum resources on the unlicensed bands while guaranteeing the fairness among D2D-U links and the harmonious coexistence with WiFi networks, an online trainedNeural network(NN) is first utilized on each D2D-U pair to determine the price to use the unlicensed channels according to the channel state and traffic loads. Then, a non-convex optimization problem can be formulated and solved on each D2D-U link to determine the optimal spectrum and power allocation scheme which can maximize the its transmission data rate. Numerical simulation results are demonstrated to verify the performance of the proposed method which enables each D2D-U link to maximize its own data-rate individually under the constraint of the fair coexistence with other D2D-U devices and WiFi networks.

Keywords
D2D-U Resource allocation Price model Neural network
Published
2020-12-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-64002-6_11
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