• 其他栏目

    彭岳星

    • 电子邮箱:yxpeng@bupt.edu.cn
    • 所在单位:信息与通信工程学院
    • 学历:研究生毕业
    • 办公地点:科研楼627
    • 性别:男
    • 学位:博士学位
    • 职称:副教授
    • 在职信息:在职
    • 毕业院校:东南大学
    • 硕士生导师
    • 学科:信息与通信工程*
    • 所属院系:信息与通信工程学院

    访问量:

    开通时间:..

    最后更新时间:..

    Dang Van Huynh, Saeed R. Khosravirad, Yuexing Peng, Antonino Masaracchia, and Trung Q. Duong, “Industrial IoTs clustering joint blocklength and power optimization for relay robots-aided URLLC in 5G factory automation,” Chapter 1 in Book “URLLC”, Wiley, Oct. 2022.

    点击次数:

    出版单位:Wiley

    简介:This chapter investigates the ultra‐reliable low‐latency communications (URLLC) supported industrial Internet‐of‐Things (IIoT) devices in the industry automation1. To enhance the URLLC performance, we propose to use multiple mobile robots as relay terminals to enhance the wireless connectivity between the base stations and IIoTs devices. We first propose two approaches to optimise the deployment of multiple relay robots in assisting URLLC system, namely DNN‐based deployment, and the K‐means clustering algorithm. Under the strict latency constraint via short blocklength, we propose an optimal resource allocation scheme to minimise the error probability at the IIoT devices. Then, a joint blocklength and power allocation optimisation of the base stations and relay robots is considered. To solve the highly noncovex optimisation problems of URLLC, we propose an effective iterative algorithm for solving the reliability maximisation. Representative numerical results demonstrate the proposed s

    著作类别:专著

    出版社级别;国外(境外)出版社

    学科门类:工学

    一级学科:信息与通信工程*

    是否译成外文:

    出版日期:2023-07-01