Cao, J., Kurniawan, E., Boonkajay, A., Sun, S., Popovski, P., Zhu, X. (2024). Goal-Oriented Integration of Sensing, Communication, Computing, and Control for Mission-Critical Internet-of-Things. IEEE Network, 1–1. https://doi.org/10.1109/mnet.2024.3414396
Abstract:
Driven by the development goal of network paradigm and demand for various functions in the sixth-generation (6G) mission-critical Internet-of-Things (MC-IoT), we foresee a goal-oriented integration of sensing, communication, computing, and control (GIS3C) in this paper. We first provide an overview of the tasks, requirements, and challenges of MC-IoT. Then we introduce an end-to-end GIS3C architecture, in which
goal-oriented communication is leveraged to bridge and empower sensing, communication, control, and computing functionalities. By revealing the interplay among multiple subsystems in terms of key performance indicators and parameters, this paper introduces unified metrics, i.e., task completion effectiveness and cost, to facilitate S3C co-design in MC-IoT. The preliminary results demonstrate the benefits of GIS3C in improving task completion effectiveness while reducing costs. We also identify and highlight
the gaps and challenges in applying GIS3C in the future 6G networks.
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Funding Info:
This research / project is supported by the National Research Foundation (NRF) Singapore - Future Proof Reliable and Resilient Wireless Communications for Virtual Power Plant (W-VPP), Industry Alignment Fund (Prepositioning) (IAF-PP) for Urban Solutions and Sustainability (USS) Domain, Research Innovation Enterprise 2020 Plan (RIE2020), Energy Grid 2.0 Programme
Grant Reference no. : N/A
This research / project is supported by the National Natural Science Foundation of China - N/A
Grant Reference no. : 62171161
This research / project is supported by the Guangdong Provincial Science and Technology Program - N/A
Grant Reference no. : 2022A0505050022
This research / project is supported by the Guangdong Basic and Applied Basic Research Foundation - N/A
Grant Reference no. : 2022B1515120018
This research / project is supported by the Shenzhen Key Laboratory of Wireless AIoT Communications - Shenzhen Science and Technology Program
Grant Reference no. : ZDSYS20210623091808025, KQTD20190929172545139, GXWD20220817133854003
This research / project is supported by the Guangxi Key Laboratory of Brain-Inspired Computing and Intelligent Chips - N/A
Grant Reference no. : BCIC-23-K10