IEEE SPAWC 2026

SPAWC 2026 is the 27th edition of the IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, held in the centre of Athens below the Acropolis. The workshop gathers researchers working at the meeting point of signal processing, machine learning and wireless systems, from physical layer design to AI-native air interfaces.

Four researchers from 6G Flagship present their work at the workshop. Mengyuan Ma presents two poster papers on multimodal sensing-aided beam management for wireless communications: one develops lightweight beam tracking through knowledge distillation, the other applies deep reinforcement learning to intelligent sensing and beam prediction. Chathuri Weragama presents a paper on energy-efficient coordinated multipoint transmission, combining antenna selection, beamforming and base station sleep modes. Sina Tavakolian presents a graph neural network method for designing millimetre-wave cell-free massive MIMO beamformers from sub-6 GHz channel information, reducing the need for explicit millimetre-wave channel acquisition. Mohammad Hatami presents a comparison of known-symbol and unknown-symbol processing in bistatic integrated sensing and communication systems, showing that symbol knowledge brings clear gains in multi-slot coherent processing.

More information is available on the official IEEE SPAWC 2026 website.

See other 6G Flagship appearances on our event calendar.