150 citations · 417 across the 53 of their papers we have counts for
5 papers · 1 filter
RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments
Yuru Zhang, Ming Zhao, Qiang Liu +3
Precisely modeling radio propagation in dynamic wireless environments is fundamental to the realization of wireless digital twins. Traditional ray tracing methods rely on accurate…
Explainable Autoencoder Design for RSSI-Based Multi-User Beam Probing and Hybrid Precoding
Asmaa Abdallah, Abdulkadir Celik, Ahmed Alkhateeb +1
This paper introduces a novel neural network (NN) structure referred to as an ``Auto-hybrid precoder'' (Auto-HP) and an unsupervised deep learning (DL) approach that jointly design…
DT-RaDaR: Digital Twin Assisted Robot Navigation using Differential Ray-Tracing
Sunday Amatare, Gaurav Singh, Raul Shakya +3
Autonomous system navigation is a well-researched and evolving field. Recent advancements in improving robot navigation have sparked increased interest among researchers and practi…
Deep Learning Predictive Band Switching in Wireless Networks
Faris B. Mismar, Ahmad AlAmmouri, Ahmed Alkhateeb +2
In cellular systems, the user equipment (UE) can request a change in the frequency band when its rate drops below a threshold on the current band. The UE is then instructed by the…
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
Faris B. Mismar, Brian L. Evans, Ahmed Alkhateeb
The fifth generation of wireless communications (5G) promises massive increases in traffic volume and data rates, as well as improved reliability in voice calls. Jointly optimizing…