4 citations · 11 across the 7 of their papers we have counts for
9 papers
Enabling NLoS LEO Satellite Communications with Reconfigurable Intelligent Surfaces
Xiaowen Tian, Nuria Gonzalez-Prelcic, Takayuki Shimizu
Low Earth Orbit (LEO) satellite communications (SatCom) are considered a promising solution to provide uninterrupted services in cellular networks. Line-of-sight (LoS) links betwee…
Optimizing the Deployment of Reconfigurable Intelligent Surfaces in MmWave Vehicular Systems
Xiaowen Tian, Nuria Gonzalez-Prelcic, Robert W. Heath
Millimeter wave (MmWave) systems are vulnerable to blockages, which cause signal drop and link outage. One solution is to deploy reconfigurable intelligent surfaces (RISs) to add a…
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…
Leveraging Sensing at the Infrastructure for mmWave Communication
Anum Ali, Nuria González-Prelcic, Robert W. Heath +1
Vehicle-to-everything (V2X) communication in the mmWave band is one way to achieve high data-rates for applications like infotainment, cooperative perception, and augmented reality…
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…
Joint Synchronization, Phase Noise and Compressive Channel Estimation in Hybrid Frequency-Selective mmWave MIMO Systems
Javier Rodriguez-Fernandez, Nuria Gonzalez-Prelcic
The large beamforming gain used to operate at millimeter wave (mmWave) frequencies requires obtaining channel information to configure hybrid antenna arrays. Previously proposed wi…