5 citations · 8 across the 4 of their papers we have counts for
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eess.SP2021
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…
eess.SP2021★ 5 cited
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…