Reconfigurable Intelligent Surface Deployment and Orientation in Beyond 5G Multicast Networks
Brancati, Gianluca; Pupo, Ernesto Fontes; Chukhno, Olga; Chukhno, Nadezhda; Murroni, Maurizio; Araniti, Giuseppe (2023)
Brancati, Gianluca
Pupo, Ernesto Fontes
Chukhno, Olga
Chukhno, Nadezhda
Murroni, Maurizio
Araniti, Giuseppe
IEEE
2023
BMSB 2023 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-2023122011115
https://urn.fi/URN:NBN:fi:tuni-2023122011115
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [19188]