Name
Abstract | ||
|---|---|---|
This paper introduces a wireless communication protocol for industrial control systems that uses channel quality awareness to dynamically create network-device cooperation and assist the nodes in momentary poor channel conditions. To that point, channel state information is used to identify nodes with strong and weak channel conditions. We show that strong nodes in the network are best to be served in a single-hop transmission with transmission rate adapted to their instantaneous channel conditions. Meanwhile, the remainder of time-frequency resources is used to serve the nodes with weak channel condition using a two-hop transmission with cooperative communication among all the nodes to meet the target reliability in their communication with the controller. We formulate the achievable multi-user and multi-antenna diversity gain in the low-latency regime, and propose a new scheme for exploiting those on-demand, in favor of reliability and efficiency. The proposed transmission scheme is therefore dubbed adaptive network-device cooperation (ANDCoop), since it is able to adaptively allocate cooperation resources while enjoying the multi-user diversity gain of the network. We formulate the optimization problem of associating nodes to each group and dividing resources between the two groups. Numerical solutions show significant improvement in spectral efficiency and system reliability compared to the existing schemes in the literature. System design incorporating the proposed transmission strategy can thus reduce infrastructure cost for future private wireless networks. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TWC.2020.3024741 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Ultra-reliable low-latency communications,factory automation,industrial Internet-of-Things,5G | Journal | 20 |
Issue | ISSN | Citations |
1 | 1536-1276 | 2 |
PageRank | References | Authors |
0.41 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saeed R. Khosravirad | 1 | 64 | 8.34 |
| Harish Viswanathan | 2 | 477 | 68.86 |
| Wei Yu | 3 | 6173 | 537.26 |