Sensing Aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
Author:
Affiliation:
1. EURECOM, Biot,Communication Systems Department,France
2. Institute for the Wireless Internet of Things, Northeastern University,Boston,USA
3. Virginia Tech,Wireless@VT,Bradley Department of Electrical and Computer Engineering,VA,USA
Funder
Office of Naval Research
MURI
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10283478/10283479/10283636.pdf?arnumber=10283636
Reference27 articles.
1. Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing
2. Millimeter wave V2I beam-training using base-station mounted radar
3. LIDAR Data for Deep Learning-Based mmWave Beam-Selection
4. MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach
5. Millimeter Wave Beam-Selection Using Out-of-Band Spatial Information
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1. Sensing-Aided Communication Channel Estimation with Tensor-Based Moving Target Localization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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