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

Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks

no code implementations • 13 Jul 2021 • Narges Gholipoor, Ali Nouruzi, Shima Salarhosseini, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck

To this end, we formulate an optimization problem in which power and spectrum resources are allocated in the radio part.

Scheduling

Cost-Effective Radio and NFV Resource Allocation: E2E QoS Provision

no code implementations • 14 Jul 2019 • Abolfazl Zakeri, Narges Gholipoor, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck

Simulation results demonstrate that the proposed heuristic algorithm and framework outperforms the existing ones by 34% on average in cost reduction.

Management Scheduling