TY - GEN
T1 - Reconfigurable Intelligent Surface Deployment and Orientation in Beyond 5G Multicast Networks
AU - Brancati, Gianluca
AU - Pupo, Ernesto Fontes
AU - Chukhno, Olga
AU - Chukhno, Nadezhda
AU - Murroni, Maurizio
AU - Araniti, Giuseppe
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - As 5G evolves into a unifying connectivity fabric, new capabilities will emerge, enabling and enhancing such services as extended reality (XR), holographic telepresence, and other high-speed immersive experience. These multimedia applications demand strict latency, improved network capacity and coverage, and mobility support. Multicast transmissions, highly directional communications, and reconfigurable intelligent surfaces (RISs), combined with artificial intelligence, are expected to ensure such requirements. We present and solve the optimal RIS deployment and orientation problem for cellular highly-directional multicast connectivity based on the multilevel facility location model. We then develop and test two artificial intelligence alternatives, which offer a close-to-optimal solution with lower computational complexity. Our numerical results demonstrate that optimally deploying RISs enhances the average network throughput and latency of directional multicasting.
AB - As 5G evolves into a unifying connectivity fabric, new capabilities will emerge, enabling and enhancing such services as extended reality (XR), holographic telepresence, and other high-speed immersive experience. These multimedia applications demand strict latency, improved network capacity and coverage, and mobility support. Multicast transmissions, highly directional communications, and reconfigurable intelligent surfaces (RISs), combined with artificial intelligence, are expected to ensure such requirements. We present and solve the optimal RIS deployment and orientation problem for cellular highly-directional multicast connectivity based on the multilevel facility location model. We then develop and test two artificial intelligence alternatives, which offer a close-to-optimal solution with lower computational complexity. Our numerical results demonstrate that optimally deploying RISs enhances the average network throughput and latency of directional multicasting.
KW - 5G NR
KW - beyond 5G
KW - cellular networks
KW - machine learning
KW - multicasting
KW - network planning
KW - reconfigurable intelligent surfaces
U2 - 10.1109/BMSB58369.2023.10211255
DO - 10.1109/BMSB58369.2023.10211255
M3 - Conference contribution
AN - SCOPUS:85169479931
T3 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
BT - BMSB 2023 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2023
PB - IEEE
T2 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Y2 - 14 June 2023 through 16 June 2023
ER -