计算机科学
基站
继电器
机器人
无线
人工神经网络
数学优化
自动化
资源配置
可靠性(半导体)
移动机器人
计算机网络
分布式计算
人工智能
功率(物理)
工程类
电信
机械工程
物理
数学
量子力学
作者
Dang Van Huynh,Saeed R. Khosravirad,Long D. Nguyen,Trung Q. Duong
标识
DOI:10.1109/globecom46510.2021.9685534
摘要
In this paper, we propose to use multiple mobile robots as relay terminals to assist the wireless connectivity between the base stations and industrial Internet-of-Things (IIoT) devices. Under the strict latency constraint via short blocklength, we propose an optimal resource allocation scheme to minimise the error probability at the IIoT devices. For fast deployment, we propose a deep neural network to optimise the positions of the mobile robots. Then, a joint blocklength and power allocation optimisation of the base stations and relay robots is considered. Due to non-convexity of such optimization problem, we propose a sub-problem with an effective iterative algorithm for solving the reliability maximisation. Representative numerical results are provided to demonstrate the advantages of our proposed scheme over the conventional approach.
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