Calibration in RIS-Aided Integrated Sensing, Localization and Communication Systems
Journal article, 2025
Reconfigurable intelligent surfaces (RISs) are key enablers for integrated sensing and communication (ISAC) systems in the sixth-generation (6G) communication era. With the capability of dynamically shaping the channel, RISs can enhance communication coverage. Additionally, RISs can serve as additional anchors with high angular resolution to improve localization and sensing services in extreme scenarios. However, knowledge of anchors' states such as position, orientation, and hardware impairments are crucial for localization and sensing applications, requiring dedicated calibration, including geometry and hardware calibration. This paper provides an overview of various types of RIS calibration, their impacts, and the challenges they pose in ISAC systems.
Accuracy
Geometry
Mutual coupling
Signal to noise ratio
Calibration
Hardware
Noise measurement
Integrated sensing and communication
Location awareness
Reconfigurable intelligent surfaces
Author
Reza Ghazalian
Nok Mobile Networks
Aalto University
Pinjun Zheng
University of British Columbia (UBC)
Hui Chen
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Cuneyd Ozturk
Aselsan Inc
Musa Furkan Keskin
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Vincenzo Sciancalepore
NEC Laboratories Europe GmbH
Sinan Gezici
Bilkent University
Tareq Y. Al-Naffouri
King Abdullah University of Science and Technology (KAUST)
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE Wireless Communications
1536-1284 (ISSN) 15580687 (eISSN)
Vol. In PressLocalization and Sensing for Perceptive Cell-Free Networks Towards 6G
Swedish Research Council (VR) (2024-04390), 2025-01-01 -- 2028-12-31.
Hardware-aware Integrated Localization and Sensing for Communication Systems
Swedish Research Council (VR) (2022-03007), 2023-01-01 -- 2026-12-31.
Subject Categories (SSIF 2025)
Communication Systems
Signal Processing
DOI
10.1109/MWC.2025.3600619