Liquid State Machine-Empowered Reflection Tracking in RIS-Aided THz Communications

no code implementations • 8 Aug 2022 • Hosein Zarini, Narges Gholipoor, Mohamad Robat Mili, Mehdi Rasti, Hina Tabassum, Ekram Hossain

It is numerically demonstrated that, in the first step, employing the Xavier initialization technique to fine-tune the LSM results in at most 26% lower LSM prediction variance and as much as 46% achievable spectral efficiency (SE) improvement over the existing counterparts, when an RIS of size 11x11 is deployed.

Ensemble Learning Time Series +1