3 papers
eess.SP2026
EqDeepRx: Learning a Scalable and Interference Mitigating MIMO Receiver
Mikko Honkala, Dani Korpi, Elias Raninen +1
While machine learning (ML)-based receiver algorithms have received a great deal of attention in the recent literature, they often suffer from poor scaling with increasing spatial…
cs.LG2025
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu, Janne M. J. Huttunen, Mikko Honkala
Continual learning (CL) aims to train models that can learn a sequence of tasks without forgetting previously acquired knowledge. A core challenge in CL is balancing stability -- p…
eess.SP2025
Adapting to Reality: Over-the-Air Validation of AI-Based Receivers Trained with Simulated Channels
Riku Luostari, Dani Korpi, Mikko Honkala +1
Recent research shows that integrating artificial intelligence (AI) into wireless communication systems can significantly improve spectral efficiency. However, most AI-based receiv…