17 citations · 17 across the 4 of their papers we have counts for
4 papers
Deep Learning-Assisted Multicast Subgrouping in Massive MIMO
Alejandro de la Fuente, Leopoldo Carro-Calvo, Giovanni Interdonato
Efficient content delivery in massive multiple-input multiple-output (mMIMO) multicasting is fundamentally limited by pilot overhead and the need to serve heterogeneous users with…
User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels
Alejandro de la Fuente, Giovanni Interdonato, Giuseppe Araniti
Massive multiple-input-multiple-output (MIMO) is unquestionably a key enabler of the fifth-generation (5G) technology for mobile systems, enabling to meet the high requirements of…
User Subgrouping in Scalable Cell-Free Massive MIMO Multicasting Systems
Alejandro de la Fuente, Guillem Femenias, Felip Riera-Palou +1
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a breakthrough technology for beyond-5G systems, designed to significantly boost the energy and spectral efficiencies…
User Subgrouping in Multicast Massive MIMO over Spatially Correlated Rayleigh Fading Channels
Alejandro de la Fuente, Giovanni Interdonato, Giuseppe Araniti
Massive multiple-input-multiple-output (MaMIMO) multicasting has received significant attention over the last years. MaMIMO is a key enabler of 5G systems to achieve the extremely…