1.5k citations · 4.2k across the 131 of their papers we have counts for
49 papers · 1 filter
AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
Ju-Hyung Lee, Andreas F. Molisch
This paper introduces AutoBS, a reinforcement learning (RL)-based framework for optimal base station (BS) deployment in 6G radio access networks (RAN). AutoBS leverages the Proxima…
Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz
Hussein Hammoud, Yuning Zhang, Zihang Cheng +9
The coordination of vehicles is a crucial element of autonomous driving, as it enhances the efficiency, convenience, and safety of road traffic. In order to fully exploit the capab…
Generative vs. Predictive Models in Massive MIMO Channel Prediction
Ju-Hyung Lee, Joohan Lee, Andreas F. Molisch
Massive MIMO (mMIMO) systems are essential for 5G/6G networks to meet high throughput and reliability demands, with machine learning (ML)-based techniques, particularly autoencoder…
Joint Phase-Time Arrays: A Paradigm for Frequency-Dependent Analog Beamforming in 6G
Vishnu V. Ratnam, Jianhua Mo, Ahmad AlAmmouri +4
Hybrid beamforming is an attractive solution to build cost-effective and energy-efficient transceivers for millimeter-wave and terahertz systems. However, conventional hybrid beamf…
A Scalable and Generalizable Pathloss Map Prediction
Ju-Hyung Lee, Andreas F. Molisch
Large-scale channel prediction, i.e., estimation of the pathloss from geographical/morphological/building maps, is an essential component of wireless network planning. Ray tracing…
Antenna Selection in Polarization Reconfigurable MIMO (PR-MIMO) Communication Systems
Paul S. Oh, Sean S. Kwon, Andreas F. Molisch
Adaptation of a wireless system to the polarization state of the propagation channel can improve reliability and throughput. This paper in particular considers polarization reconfi…