Name
Title | ||
|---|---|---|
Multiple Relay Robots-Assisted URLLC for Industrial Automation with Deep Neural Networks |
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/GLOBECOM46510.2021.9685534 | 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) |
DocType | ISSN | Citations |
Conference | 2334-0983 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dang Van-Huynh | 1 | 0 | 0.34 |
| Saeed R. Khosravirad | 2 | 64 | 8.34 |
| Long Dinh Nguyen | 3 | 0 | 0.68 |
| Trung Q. Duong | 4 | 2911 | 171.22 |