287 citations · 1.2k across the 22 of their papers we have counts for
26 papers
A Novel Space-Time Coding Architecture for Rydberg Atomic Quantum Receiver-Based Systems
Asifa Zannat, Milad Abolpour, Dani Korpi +3
Rydberg atomic quantum receivers (RAQRs) offer high sensitivity and wide tunability, but their magnitude-based readout yields a nonlinear model incompatible with conventional compl…
Knowledge Graph-Based approach for Sustainable 6G End-to-End System Design
Akshay Jain, Sylvaine Kerboeuf, Sokratis Barmpounakis +17
Previous generations of cellular communication, such as 5G, have been designed with the objective of improving key performance indicators (KPIs) such as throughput, latency, etc. H…
Superimposed DMRS for Spectrally Efficient 6G Uplink Multi-User OFDM: Classical vs AI/ML Receivers
Sajad Rezaie, Mikko Honkala, Dani Korpi +4
Fifth-generation (5G) systems utilize orthogonal demodulation reference signals (DMRS) to enable channel estimation at the receiver. These orthogonal DMRS-also referred to as pilot…
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…
Deep Learning-Based Pilotless Spatial Multiplexing
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen
This paper investigates the feasibility of machine learning (ML)-based pilotless spatial multiplexing in multiple-input and multiple-output (MIMO) communication systems. Especially…
DeepTx: Deep Learning Beamforming with Channel Prediction
Janne M. J. Huttunen, Dani Korpi, Mikko Honkala
Machine learning algorithms have recently been considered for many tasks in the field of wireless communications. Previously, we have proposed the use of a deep fully convolutional…