activity
20052026
most citedA Two-Step Time of Arrival Estimation Algorithm for Impulse Radio Ultra Wideband Systems

36 citations · 84 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2026

Low-Complexity Channel Estimation for Reconfigurable Fluid Antenna System

Alireza Fadakar, Andreas F. Molisch

Electromagnetically reconfigurable fluid antenna system (ER-FAS) provides additional electromagnetic (EM)-domain degrees of freedom by enabling dynamic control of per-element radia…

cs.LG2026

OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments

Lei Chu, Yuning Zhang, Omer Gokalp Serbetci +3

Indoor localization from wireless measurements remains challenging in large-scale deployments due to substantial variation in building geometry, the set of detectable access points…

eess.SP2026

Near-Field Localization via Reconfigurable Antennas

Alireza Fadakar, Yuchen Zhang, Hui Chen +3

Reconfigurable antennas (RAs) utilize the electromagnetic (EM) domain to provide dynamic control over antenna radiation patterns, which offers an effective way to enhance power eff…

cs.NI2023

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks

Md Ferdous Pervej, Andreas F Molisch

Video caching can significantly improve backhaul traffic congestion by locally storing the popular content that users frequently request. A privacy-preserving method is desirable t…

cs.IT2023★ 1 cited

Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization

Ju-Hyung Lee, Chanyoung Park, Soohyun Park +1

This study presents a novel deep reinforcement learning (DRL)-based handover (HO) protocol, called DHO, specifically designed to address the persistent challenge of long propagatio…

eess.SP2023

Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation

Lei Chu, Abdullah Alghafis, Andreas F. Molisch

Localization in GPS-denied outdoor locations, such as street canyons in an urban or metropolitan environment, has many applications. Machine Learning (ML) is widely used to tackle…