Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

39 Downloads (Pure)


6th Generation (6G) industrial wireless subnetworks are expected to replace wired connectivity for control operation in robots and production modules. Interference management techniques such as centralized power control can improve spectral efficiency in dense deployments of such subnetworks. However, existing solutions for centralized power control may require full channel state information (CSI) of all the desired and interfering links, which may be cumbersome and time-consuming to obtain in dense deployments. This paper presents a novel solution for centralized power control for industrial subnetworks based on Graph Neural Networks (GNNs). The proposed method only requires the subnetwork positioning information, usually known at the central controller, and the knowledge of the desired link channel gain during the execution phase. Simulation results show that our solution achieves similar spectral efficiency as the benchmark schemes requiring full CSI in runtime operations. Also, robustness to changes in the deployment density and environment characteristics with respect to the training phase is verified.
Original languageEnglish
Title of host publication2023 IEEE Wireless Communications and Networking Conference (WCNC)
Number of pages7
Publication date12 May 2023
ISBN (Electronic)978-1-6654-9122-8
Publication statusPublished - 12 May 2023
Event2023 IEEE Wireless Communications and Networking Conference (WCNC) - Glasgow, United Kingdom
Duration: 26 Mar 202329 Mar 2023


Conference2023 IEEE Wireless Communications and Networking Conference (WCNC)
Country/TerritoryUnited Kingdom
SeriesI E E E Wireless Communications and Networking Conference. Proceedings


  • 6G
  • Artificial Intelligence (AI)
  • Interference Management
  • Power Control
  • Wireless Communication
  • graph neural network

Cite this