3 papers
eess.SP2026
Combining Improvements in Uplink AI-RAN
Petteri Kela, Dani Korpi, Mikko Honkala
One of the major transformative factors in 6G will be the integration of Artificial Intelligence (AI) to become a native part of Radio Access Network (RAN). While most physical-lay…
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…