2 papers
eess.SP2026
Quantized Transformers for Massive MIMO Precoding with Automatic Resolution Tuning
Ghazal Kasalaee, Glodi Sala Mangituka, Ali Hasanzadeh Karkan +2
Deep learning precoders, particularly those based on Transformer architectures, offer superior spectral efficiency for Massive MIMO systems but may incur high computational cost. W…
eess.SP2025
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
Ghazal Kasalaee, Ali Hasanzadeh Karkan, Jean-François Frigon +1
The deployment of deep learning (DL) models for precoding in massive multiple-input multiple-output (mMIMO) systems is often constrained by high computational demands and energy co…