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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…
Low-rank mmWave MIMO channel estimation in one-bit receivers
Nitin Jonathan Myers, Kayla N. Tran, Robert W. Heath
Receivers with one-bit analog-to-digital converters (ADCs) are promising for high bandwidth millimeter wave (mmWave) systems as they consume less power than their full resolution c…
Optimization of Power Transfer Efficiency and Energy Efficiency for Wireless-Powered Systems with Massive MIMO
Talha Ahmed Khan, Ali Yazdan, Robert W. Heath
Massive MIMO is attractive for wireless information and energy transfer due to its ability to focus energy towards desired spatial locations. In this paper, the overall power trans…
Analysis of Intelligent Vehicular Relaying in Urban 5G+ Millimeter-Wave Cellular Deployments
Vitaly Petrov, Dmitri Moltchanov, Sergey Andreev +1
The capability of smarter networked devices to dynamically select appropriate radio connectivity options is especially important in the emerging millimeter-wave (mmWave) systems to…
LIDAR Data for Deep Learning-Based mmWave Beam-Selection
Aldebaro Klautau, Nuria González-Prelcic, Robert W. Heath
Millimeter wave communication systems can leverage information from sensors to reduce the overhead associated with link configuration. LIDAR (light detection and ranging) is one se…