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Nuria Gonzalez-Prelcic
Researcher at North Carolina State University
Publications - 124
Citations - 8761
Nuria Gonzalez-Prelcic is an academic researcher from North Carolina State University. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 25, co-authored 113 publications receiving 6237 citations. Previous affiliations of Nuria Gonzalez-Prelcic include University of Vigo & University of Texas at Austin.
Papers
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Journal ArticleDOI
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
TL;DR: This article provides an overview of signal processing challenges in mmWave wireless systems, with an emphasis on those faced by using MIMO communication at higher carrier frequencies.
Journal ArticleDOI
MIMO Precoding and Combining Solutions for Millimeter-Wave Systems
TL;DR: How beamforming and precoding are different in MIMO mmWave systems than in their lower-frequency counterparts, due to different hardware constraints and channel characteristics are explained.
Journal ArticleDOI
Millimeter-Wave Vehicular Communication to Support Massive Automotive Sensing
Junil Choi,Vutha Va,Nuria Gonzalez-Prelcic,Robert C. Daniels,Chandra R. Bhat,Robert W. Heath +5 more
TL;DR: In this paper, the authors make the case that mmWave communication is the only viable approach for high bandwidth connected vehicles and highlight the motivations and challenges associated with using mmWave for vehicle-to-vehicle and V2V applications.
Journal ArticleDOI
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
TL;DR: In this article, the authors proposed hybrid architectures based on switching networks to reduce the complexity and the power consumption of the structures based on phase shifters and defined a power consumption model and used it to evaluate the energy efficiency of both structures.
Posted Content
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
TL;DR: Numerical results show that architectures based on switches obtain equal or better channel estimation performance to that obtained using phase shifters, while reducing hardware complexity and power consumption, and all the hybrid architectures provide similar spectral efficiencies.