Abstract
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.
Original language | English |
---|---|
Title of host publication | Proceedings of the IEEE Global Communications Conference, GLOBECOM 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 5 |
ISBN (Electronic) | 9781728181042 |
ISBN (Print) | 9781728181059 |
DOIs | |
Publication status | Published - 02 Feb 2022 |
Publication series
Name | IEEE Global Communications Conference: Proceedings |
---|
Fingerprint
Dive into the research topics of 'Multiple relay robots-assisted URLLC for industrial automation with deep neural networks'. Together they form a unique fingerprint.Student theses
-
Ultra-reliable and near zero-latency communications for industrial automation
Huynh, D. V. (Author), Duong, Q. (Supervisor) & Mai, T. S. (Supervisor), Dec 2023Student thesis: Doctoral Thesis › Doctor of Philosophy
File