Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios

In recent years, the fifth-generation (5G) mobile network has been developed worldwide to remarkably improve network performance and spectral efficiency. Very recently, reconfigurable intelligent surfaces (RISs) technology has emerged as an innovative solution for controlling the propagation medium...

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Hauptverfasser: Farré, Valdemar, Estrada-Jiménez, Juan C, Sánchez, José D. Vega, Vasquez-Peralvo, Juan A, Chatzinotas, Symeon
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Estrada-Jiménez, Juan C
Sánchez, José D. Vega
Vasquez-Peralvo, Juan A
Chatzinotas, Symeon
description In recent years, the fifth-generation (5G) mobile network has been developed worldwide to remarkably improve network performance and spectral efficiency. Very recently, reconfigurable intelligent surfaces (RISs) technology has emerged as an innovative solution for controlling the propagation medium of the forthcoming sixth-generation (6G) networks. Specifically, RIS takes advantage of the reflected rays on the propagation environment to redirect them to a desired target, improving wireless coverage. To further improve RIS performance, an interesting technique called synchronized transmission with advanced reconfigurable surfaces (STARS) has appeared to allow simultaneous transmission and reflection of intelligent omni-surfaces. With that in mind, this paper introduces an enhanced strategy for the network planning of 5G and beyond (B5G) mobile networks in dense urban scenarios focused on the city of Quito-Ecuador. The efficacy of RIS and its cutting-edge STARS concept is emphasized, providing useful insights into coverage, quality, and throughput results. In particular, this work considers the 3.5/28 GHz frequency bands, optimizing the radio network and anticipating their applicability in B5G networks. Finally, simulation results are also shown, which allow the identification of the benefits of STAR RIS in terms of coverage, signal quality, and data performance.
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title Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios
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