3 papers
eess.SP2026
Scalable Attention for 5G NR Channel Estimation
Mahdi Abdollahpour, Marco Bertuletti, Yichao Zhang +2
Attention-based neural estimators achieve strong channel-estimation accuracy, but the computational cost of global attention over the time-frequency resource grid grows quadratical…
eess.SP2026
On-board AI-based Channel Estimation for LEO NTNs
Mahdi Abdollahpour, Bruno De Filippo, Carla Amatetti +1
Artificial Intelligence(AI) methods have shown strong channel estimation performance in terrestrial networks, but they typically rely on substantial computational resources. As 6G…
eess.SP2025
Fast End-to-End Simulation and Exploration of Many-RISCV-Core Baseband Transceivers for Software-Defined Radio-Access Networks
Marco Bertuletti, Yichao Zhang, Mahdi Abdollahpour +2
The fast-rising demand for wireless bandwidth requires rapid evolution of high-performance baseband processing infrastructure. Programmable many-core processors for software-define…