TY - GEN
T1 - Evaluation of Optimal Location of Reconfigurable Intelligent Surface (RIS) and Maximum Achievable Data Rates in RIS-assisted Communication Systems
AU - Sivalingamaiah, M.
AU - Dilli, Ravilla
AU - Chandra, M. L.Ravi
AU - Kishore, B.
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - 6G research is actively underway as researchers and engineers are creating the next generation of global wireless systems. The nascent research towards 6G wireless technologies includes physical layer design with candidate waveform, channel models, AI/ML models, RF designs and components at milli meter wave (mmWave) frequency bands and THz frequency bands, RF sensing, non-terrestrial networks, and reconfigurable intelligent surfaces (RIS). RIS is envisioned as a key wireless technology in 6G wireless networks. RIS is an arrangement of array of scattering elements whose properties are dynamically controlled to focus the electromagnetic radio signal towards the receiver. This paper aims to design a deterministic RIS-assisted channel model and evaluate the system performance in the presence of different propagation scenarios considering the channel blockages. It presents the achievable data rates and received signal-to-noise ratio (SNR) at user equipment (UE) for different dimensions of RIS and frequency bands. It also defines the optimal location of RIS for the maximum range between base station (BS) and UE.
AB - 6G research is actively underway as researchers and engineers are creating the next generation of global wireless systems. The nascent research towards 6G wireless technologies includes physical layer design with candidate waveform, channel models, AI/ML models, RF designs and components at milli meter wave (mmWave) frequency bands and THz frequency bands, RF sensing, non-terrestrial networks, and reconfigurable intelligent surfaces (RIS). RIS is envisioned as a key wireless technology in 6G wireless networks. RIS is an arrangement of array of scattering elements whose properties are dynamically controlled to focus the electromagnetic radio signal towards the receiver. This paper aims to design a deterministic RIS-assisted channel model and evaluate the system performance in the presence of different propagation scenarios considering the channel blockages. It presents the achievable data rates and received signal-to-noise ratio (SNR) at user equipment (UE) for different dimensions of RIS and frequency bands. It also defines the optimal location of RIS for the maximum range between base station (BS) and UE.
UR - https://www.scopus.com/pages/publications/105037440148
UR - https://www.scopus.com/pages/publications/105037440148#tab=citedBy
U2 - 10.1109/ICAUC68182.2026.11441088
DO - 10.1109/ICAUC68182.2026.11441088
M3 - Conference contribution
AN - SCOPUS:105037440148
T3 - Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026
SP - 575
EP - 580
BT - Proceedings of the 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing, ICAUC 2026
Y2 - 19 January 2026 through 21 January 2026
ER -