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Inventi Impact: Telecom

Articles

  • Inventi:etc/33438/20
    Interference Minimization Resource Allocation for V2X Communication Underlaying 5G Cellular Networks
    Research 2021 : January - March
    Xiaoqin Song, Kuiyu Wang, Lei Lei, Liping Zhao, Yong Li, Jiankang Wang

    In this paper, the resource allocation for vehicle-to-everything (V2X) underlaying 5G cellular mobile communication networks is\nconsidered. The optimization problem is modeled as a mixed binary integer nonlinear programming (MBINP), which minimizes\nthe interference to 5G cellular users (CUs) subject to the quality of service (QoS), the total available power, the interference\nthreshold, and the minimal transmission rate. To achieve that, the original MBINP is decomposed into three steps: transmission\npower initialization, subchannel assignment, and power allocation. Firstly, the minimum transmission power required by the\nV2X users (VUs) is set as the initial power value. Secondly, the Hungarian algorithm is used to obtain the appropriate\nsubchannel. Finally, an optimization mechanism is proposed to the power allocation. Simulation results show that the proposed\nalgorithm can not only ensure the minimal transmission rate of VUs but also further improve the CUsâ?? channel capacity under\nthe premise of guaranteeing the QoS of the CUs.

    How to Cite this Article
    Attribution/ CC Compliant Citation: Song, Xiaoqin, et al.\n\"Interference Minimization Resource Allocation for V2X\nCommunication Underlaying 5G Cellular Networks.\" Wireless\nCommunications and Mobile Computing 2020 (2020).\nhttps://doi.org/10.1155/2020/2985367\nhttp://creativecommons.org/licenses/by/4.0/\nSome formatting elements, header, footer, logos, dates and\npagination were modified while adapting this article.
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