Beam Training and Tracking With Limited Sampling Sets: Exploiting Environment Priors-Reference-Cited by-同舟云学术

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Beam Training and Tracking With Limited Sampling Sets: Exploiting Environment Priors

Published:2023-05 Issue:5 Volume:71 Page:3008-3023
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Zhang Jianjun¹^ORCID,Masouros Christos²^ORCID,Huang Yongming³^ORCID

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Electronic and Electrical Engineering, University College London, London, U.K

3. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

Funder

Engineering and Physical Sciences Research Council, UK

Scientific Research Fund of the Nanjing University of Aeronautics and Astronautics

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10128759/10026304.pdf?arnumber=10026304

Reference34 articles.

1. Adaptive Beam Tracking With the Unscented Kalman Filter for Millimeter Wave Communication

2. Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing

3. Efficient Beam Alignment in Millimeter Wave Systems Using Contextual Bandits

4. Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach

5. EKF-Based Beam Tracking for mmWave MIMO Systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking;IEEE Transactions on Signal Processing;2024

2. Beam Tracking Based on Variable Step Beam for Millimeter Wave Massive MIMO;IEEE Communications Letters;2023-09

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