TY - GEN
T1 - Connectivity-Probability-Driven Multi-RIS Placement in Irregular Regions
AU - Zhao, Yunpeng
AU - Shen, Qing
AU - Tian, Jing
AU - Liu, Wei
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/11
Y1 - 2025/11
N2 - The locations of reconfigurable intelligent surfaces (RISs) have significant impact on the communication quality of RIS-assisted wireless communication systems, especially in severely obstructed environments. Despite the existence of numerous studies on RIS placement to enhance communication quality, the study on placement of multiple RISs in irregular regions is scarce, which aligns better with the actual application scenarios. Based on a Poisson stochastic geometric obstacle model, this paper provides an optimal placement strategy of the RISs by maximizing the minimum connectivity probability (MConP) in a three-dimensional (3D) space with arbitrary ground geometry. By converting it to the thinnest covering problem (TCP), it is solved through shape optimization techniques. Numerical results are provided to validate the effectiveness of multi-RIS deployment in severely obstructed scenarios.
AB - The locations of reconfigurable intelligent surfaces (RISs) have significant impact on the communication quality of RIS-assisted wireless communication systems, especially in severely obstructed environments. Despite the existence of numerous studies on RIS placement to enhance communication quality, the study on placement of multiple RISs in irregular regions is scarce, which aligns better with the actual application scenarios. Based on a Poisson stochastic geometric obstacle model, this paper provides an optimal placement strategy of the RISs by maximizing the minimum connectivity probability (MConP) in a three-dimensional (3D) space with arbitrary ground geometry. By converting it to the thinnest covering problem (TCP), it is solved through shape optimization techniques. Numerical results are provided to validate the effectiveness of multi-RIS deployment in severely obstructed scenarios.
KW - Connectivity probability (ConP)
KW - multi-RIS placement
KW - multiple reconfigurable intelligent surfaces (RIS)
KW - stochastic geometric obstacle
UR - https://www.scopus.com/pages/publications/105031719026
U2 - 10.1109/SiPS66314.2025.11261242
DO - 10.1109/SiPS66314.2025.11261242
M3 - Conference article published in proceeding or book
AN - SCOPUS:105031719026
T3 - 2025 IEEE Workshop on Signal Processing Systems, SiPS 2025
SP - 1
EP - 5
BT - 2025 IEEE Workshop on Signal Processing Systems, SiPS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Workshop on Signal Processing Systems, SiPS 2025
Y2 - 1 November 2025 through 4 November 2025
ER -