3 citations · 6 across the 10 of their papers we have counts for
10 papers
5G Channel Models for Railway Use Cases at mmWave Band and the Path Towards Terahertz
Ke Guan, Juan Moreno Garcia-Lloygorri, Bo Ai +6
High-speed trains are one of the most relevant scenarios for the fifth-generation (5G) mobile communications and the "smart rail mobility" vision, where a high-data-rate wireless c…
Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine Learning
Finn Siegismund-Poschmann, Bile Peng, Eduard A. Jorswieck
Nonorthogonal multiple access (NOMA) with multi-antenna base station (BS) is a promising technology for next-generation wireless communication, which has high potential in performa…
RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath +2
The reconfigurable intelligent surface (RIS) is a promising technology that enables wireless communication systems to achieve improved performance by intelligently manipulating wir…
RISnet: a Dedicated Scalable Neural Network Architecture for Optimization of Reconfigurable Intelligent Surfaces
Bile Peng, Finn Siegismund-Poschmann, Eduard A. Jorswieck
The reconfigurable intelligent surface (RIS) is a promising technology for next-generation wireless communication. It comprises many passive antennas, which reflect signals from th…
Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath +1
This work presents a machine learning approach to optimize the energy efficiency (EE) in a multi-cell wireless network. This optimization problem is non-convex and its global optim…
Two-Hop Age of Information Scheduling for Multi-UAV Assisted Mobile Edge Computing: FRL vs MADDPG
Marjan Tajik, Mohammadreza Maleki, Nader Mokari +4
In this work, we adopt the emerging technology of mobile edge computing (MEC) in the Unmanned aerial vehicles (UAVs) for communication-computing systems, to optimize the age of inf…