TY - GEN
T1 - An Experimental Proof of Concept for Sensing Using Hybrid Reconfigurable Intelligent Surfaces
AU - Alamzadeh, Idban
AU - Imani, Mohammadreza F.
N1 - Publisher Copyright: © 2025 USNC-URSI.
PY - 2025
Y1 - 2025
N2 - This paper presents experimental proof-of-concept of a hybrid reconfigurable intelligent surface (HRIS) that can detect incident angles of arrivals (AoAs). Reconfigurable intelligent surfaces (RISs) can improve wireless communication by reflecting the incident signal in prescribed directions. This operation, however, requires knowledge about the intended transmitter and users (e.g., their AoAs) to be available at RISs. To achieve this operation without requiring extra feedback loops or complicated channel sensing algorithms, a sensing mechanism needs to be introduced into RISs. To address this challenge, we have designed HRISs that can couple a small portion of the incident signal on a few elements of the HRIS to be used for sensing purposes. We will outline and experimentally demonstrate a compressive sensing algorithm to utilize measurements at these few sparse sampling locations for detecting AoA. The proposed HRIS can be used to implement smart and autonomous wireless communication networks, wireless power transfer, and sensing systems.
AB - This paper presents experimental proof-of-concept of a hybrid reconfigurable intelligent surface (HRIS) that can detect incident angles of arrivals (AoAs). Reconfigurable intelligent surfaces (RISs) can improve wireless communication by reflecting the incident signal in prescribed directions. This operation, however, requires knowledge about the intended transmitter and users (e.g., their AoAs) to be available at RISs. To achieve this operation without requiring extra feedback loops or complicated channel sensing algorithms, a sensing mechanism needs to be introduced into RISs. To address this challenge, we have designed HRISs that can couple a small portion of the incident signal on a few elements of the HRIS to be used for sensing purposes. We will outline and experimentally demonstrate a compressive sensing algorithm to utilize measurements at these few sparse sampling locations for detecting AoA. The proposed HRIS can be used to implement smart and autonomous wireless communication networks, wireless power transfer, and sensing systems.
UR - https://www.scopus.com/pages/publications/105001122726
UR - https://www.scopus.com/pages/publications/105001122726#tab=citedBy
U2 - 10.23919/USNC-URSINRSM66067.2025.10907069
DO - 10.23919/USNC-URSINRSM66067.2025.10907069
M3 - Conference contribution
T3 - 2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025 - Proceedings
SP - 377
EP - 378
BT - 2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025
Y2 - 7 January 2025 through 10 January 2025
ER -