3k citations · 3.1k across the 13 of their papers we have counts for
18 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…
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…
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…
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…
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…
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…
Joint Data-Aided Carrier Frequency Offset, Phase Offset, Amplitude and SNR Estimation for Millimeter-Wave MIMO Systems
Javier Rodríguez-Fernández, Nuria González-Prelcic, Robert W. Heath
This work is devoted to solve the problem of estimating the carrier frequency offset, phase offset, amplitude, and SNR between two mmWave transceivers. The Cramér-Rao Lower Bound (…
Frequency-domain Compressive Channel Estimation for Frequency-Selective Hybrid mmWave MIMO Systems
Javier Rodríguez-Fernández, Nuria González-Prelcic, Kiran Venugopal +1
Channel estimation is useful in millimeter wave (mmWave) MIMO communication systems. Channel state information allows optimized designs of precoders and combiners under different m…
Millimeter Wave communication with out-of-band information
Nuria González-Prelcic, Anum Ali, Vutha Va +1
Configuring the antenna arrays is the main source of overhead in millimeter wave (mmWave) communication systems. In high mobility scenarios, the problem is exacerbated, as achievin…
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors
Cristian Rusu, Nuria Gonzalez-Prelcic, Robert Heath
Dictionary learning is the task of determining a data-dependent transform that yields a sparse representation of some observed data. The dictionary learning problem is non-convex,…
Millimeter Wave Vehicular Communication to Support Massive Automotive Sensing
Junil Choi, Vutha Va, Nuria Gonzalez-Prelcic +3
As driving becomes more automated, vehicles are being equipped with more sensors generating even higher data rates. Radars (RAdio Detection and Ranging) are used for object detecti…
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
Roi Méndez-Rial, Cristian Rusu, Nuria González-Prelcic +2
Hybrid analog/digital MIMO architectures were recently proposed as an alternative for fully-digitalprecoding in millimeter wave (mmWave) wireless communication systems. This is mot…
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
Robert W. Heath, Nuria Gonzalez-Prelcic, Sundeep Rangan +2
Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels versus those p…
Optimized Compressed Sensing via Incoherent Frames Designed by Convex Optimization
Cristian Rusu, Nuria González-Prelcic
The construction of highly incoherent frames, sequences of vectors placed on the unit hyper sphere of a finite dimensional Hilbert space with low correlation between them, has prov…