Huang, Z., Schwarz, S., Tahir, B., & Rupp, M. (2022). Identification of RIS-Assisted Paths for Wireless Integrated Sensing and Communication. In 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1–7). IEEE. https://doi.org/10.1109/PIMRC54779.2022.9977621
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Event date:
12-Sep-2022 - 15-Sep-2022
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Event place:
Kyoto, Japan
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Number of Pages:
7
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Publisher:
IEEE, Piscataway
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Keywords:
integrated sensing and communication; propagation path identification; Reconfigurable intelligent surfaces
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Abstract:
Distinguishing between reconfigurable intelligent surface (RIS) assisted paths and non-line-of-sight (NLOS) paths is a fundamental problem for RIS-assisted integrated sensing and communication. In this work, we propose a pattern alternation scheme for the RIS response that uses part of the RIS as a dynamic part to modulate the estimated channel power, which can considerably help the user equipments (UEs) to identify the RIS-assisted paths. Under such a dynamic setup, we formulate the detection framework for a single UE, where we develop a statistical model of the estimated channel power, allowing us to analytically evaluate the performance of the system. We investigate our method under two critical factors: the number of RIS elements allocated for the dynamic part and the allocation of RIS elements among different users. Simulation results verify the accuracy of our analysis.
