activity
20242026
collaborators

10 papers

cs.IT2026

Optimization and Deep Learning based Resource Allocation for UAV-Aided Wireless Communication with Rotatable Antenna Array

Fengcheng Pei, Lin Xiang, Anja Klein +1

Multi-antenna unmanned aerial vehicle (UAV)-aided communication presents a promising solution to increase the system capacity and improve the quality of service (QoS) of the future…

cs.IT2026

Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications

Mohamed-Amine Lahmeri, Ata Khalili, Yujiao Liu +2

Synthetic aperture radar (SAR) imaging can be exploited to enhance wireless communication performance through high-precision environmental awareness. However, integrating sensing a…

eess.SP2026

Codebook-Based Self-Sustainable RIS: Optimal Splitting Schemes and Power Allocation

Friedemann Laue, Sebastian Lotter, Nikita Shani +1

This paper studies the codebook-based configuration of a reconfigurable intelligent surface (RIS) that extends the coverage of a base station (BS) while utilizing energy harvesting…

eess.SP2026

Cooperative ISAC for Joint Localization and Velocity Estimation in Cell-Free MIMO Systems

Zihuan Wang, Vincent W. S. Wong, Robert Schober

In this paper, we explore a cooperative integrated sensing and communication (ISAC) framework that utilizes orthogonal frequency division multiplexing (OFDM) waveforms. Under the c…

eess.SP2025

Sensing Accuracy Optimization for Multi-UAV SAR Interferometry with Data Offloading

Mohamed-Amine Lahmeri, Pouya Fakharizadeh, Víctor Mustieles-Pérez +3

The integration of unmanned aerial vehicles (UAVs) with radar imaging sensors has revolutionized the monitoring of dynamic and local Earth surface processes by enabling high-resolu…

cs.IT2025

Two-Timescale Sum-Rate Maximization for Movable Antenna Enhanced Systems

Xintai Chen, Biqian Feng, Yongpeng Wu +2

This paper studies a novel movable antenna (MA)-enhanced multiuser multiple-input multiple-output downlink system designed to improve wireless communication performance. We aim to…