5 citations · 8 across the 4 of their papers we have counts for
4 papers · 1 filter
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning
Aldebaro Klautau, Pedro Batista, Nuria Gonzalez-Prelcic +2
The increasing complexity of configuring cellular networks suggests that machine learning (ML) can effectively improve 5G technologies. Deep learning has proven successful in ML ta…
Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
Yuyang Wang, Nitin Jonathan Myers, Nuria González-Prelcic +1
Millimeter wave vehicular channels exhibit structure that can be exploited for beam alignment with fewer channel measurements compared to exhaustive beam search. With fixed layouts…
Site-specific online compressive beam codebook learning in mmWave vehicular communication
Yuyang Wang, Nitin Jonathan Myers, Nuria González-Prelcic +1
Millimeter wave (mmWave) communication is one viable solution to support Gbps sensor data sharing in vehicular networks. The use of large antenna arrays at mmWave and high mobility…
Deep learning-based beam alignment in mmWave vehicular networks
Nitin Jonathan Myers, Yuyang Wang, Nuria González-Prelcic +1
Millimeter wave channels exhibit structure that allows beam alignment with fewer channel measurements than exhaustive beam search. From a compressed sensing (CS) perspective, the r…