The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications
Journal article, 2024
Future wireless networks will integrate sensing, learning, and communication to provide new services beyond communication and to become more resilient. Sensors at the network infrastructure, sensors on the user equipment (UE), and the sensing capability of the communication signal itself provide a new source of data that connects the physical and radio frequency (RF) environments. A wireless network that harnesses all these sensing data can not only enable additional sensing services but also become more resilient to channel-dependent effects such as blockage and better support adaptation in dynamic environments as networks reconfigure. In this article, we provide a vision for integrated sensing and communication (ISAC) networks and an overview of how signal processing, optimization, and machine learning (ML) techniques can be leveraged to make them a reality in the context of 6G. We also include some examples of the performance of several of these strategies when evaluated using a simulation framework based on a combination of ray-tracing measurements and mathematical models that mix the digital and physical worlds.
Simultaneous localization and mapping
integrated sensing and communications (ISACs)
radio simultaneous localization and mapping (SLAM)
Surveys
Signal processing algorithms
sensing-aided communication
monostatic sensing
Distributed joint sensing and communication (S&C)
6G mobile communication
near-field ISAC
Wireless networks
Sensors
Industries
radio positioning
reconfigurable intelligent surface (RIS)-aided localization
Author
Nuria Gonzalez-Prelcic
The Electrical and Computer Engineering Department
Musa Furkan Keskin
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Ossi Kaltiokallio
University of Tampere
M. Valkama
University of Tampere
Davide Dardari
University of Bologna
Xiao Shen
Beijing National Research Center for Information Science and Technology
Yuan Shen
Beijing National Research Center for Information Science and Technology
Murat Bayraktar
The Electrical and Computer Engineering Department
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Proceedings of the IEEE
0018-9219 (ISSN) 15582256 (eISSN)
Vol. 112 7 676-723Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/JPROC.2024.3397609