Yun Chen

College of Engineering

Works (3)

Updated: April 5th, 2024 15:25

2023 journal article

Deep Learning-Based Link Configuration for Radar-Aided Multiuser mmWave Vehicle-to-Infrastructure Communication

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 72(6), 7454–7468.

By: A. Graff *, Y. Chen n, N. Gonzalez-Prelcic  n & T. Shimizu *

author keywords: Index Terms-Radar-aided mmWave communication; vechicle-to-infrastructure (V2I); mmWave MIMO; automotive radar; deep learning-based link configuration; out-of-band information; beyond 5G; 6G
TL;DR: Results show that the proposed processing chain can reliably isolate the spatial covariances for individual radars, and the radar-to-communications translation strategy based on deep learning provides a significant improvement over pure radar-aided methods in both LOS and NLOS channels. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, ORCID
Added: January 24, 2023

2022 article

Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach

2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), pp. 355–359.

By: Y. Chen n, J. Palacios n, N. Gonzalez-Prelcic n, T. Shimizu & H. Lu

TL;DR: A low complexity channel estimation strategy of the angle of departure and time difference of arrival based on multidimensional orthogonal matching pursuit is proposed and a deep neural network is designed that predicts the order of the channel paths so only the LoS and first order reflections are used for localization. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Source: Web Of Science
Added: February 27, 2023

2021 article

Radar Aided mmWave Vehicle-to-Infrastructure Link Configuration Using Deep Learning

2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).

By: Y. Chen n, A. Graff *, N. Gonzalez-Prelcic  n & T. Shimizu

TL;DR: The proposed deep learning (DL) aided methods remarkably reduce the beam training overhead, resulting in a 13.3% and 21.9% rate increase when using the communication APS prediction and covariance prediction, respectively. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (Web of Science; OpenAlex)
Source: Web Of Science
Added: May 23, 2022

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