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20152022
most citedAn Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

3k citations · 3.1k across the 13 of their papers we have counts for

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9 papers · 1 filter

eess.SP2022★ 3 cited

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…

eess.SP2022

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…

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…

eess.SP2019

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…

eess.SP2019★ 2 cited

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…

eess.SP2019★ 2 cited

Channel Tracking and Hybrid Precoding for Wideband Hybrid Millimeter Wave MIMO Systems

Javier Rodriguez-Fernandez, Nuria Gonzalez-Prelcic, Takayuki Shimizu

A major source of difficulty when operating with large arrays at mmWave frequencies is to estimate the wideband channel, since the use of hybrid architectures acts as a compression…

eess.SP2019★ 4 cited

Hybrid precoding and combining for frequency-selective mmWave MIMO Systems with per-antenna power constraints

Javier Rodriguez-Fernandez, Roberto Lopez-Valcarce, Nuria Gonzalez-Prelcic

Configuring hybrid precoders and combiners is a major challenge to deploy practical mmWave communication systems. Prior work addresses the problem of designing hybrid precoders and…

eess.SP2018

Algorithms for the Construction of Incoherent Frames Under Various Design Constraints

Cristian Rusu, Nuria Gonzalez-Prelcic, Robert W. Heath

Unit norm finite frames are generalizations of orthonormal bases with many applications in signal processing. An important property of a frame is its coherence, a measure of how cl…