Unscented Kalman Filter-based Beam Tracking in NR MIMO System using Hybrid Beamforming-Reference-Cited by-同舟云学术

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Unscented Kalman Filter-based Beam Tracking in NR MIMO System using Hybrid Beamforming

Published:2023-07-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
language:
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Author:

Sin Seungseok¹,Sim Yuna¹,Cho Jihun¹,Kim Kyunam²,Moon Sangmi³,Hwang Intae⁴

Affiliation:

1. Chonnam National University,Dept. of ICT Convergence System Engineering,Gwangju,South Korea

2. Alps Electric Korea Co., Ltd.,Gwangju,South Korea

3. Korea Nazarene University,Dept. of IT Intelligence,Cheonan,South Korea

4. Chonnam National University,Dept. of ICT Convergence System Engineering and Electronic Engineering,Gwangju,South Korea

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199107/10199171/10199991.pdf?arnumber=10199991

Reference11 articles.

1. Channel Tracking With Flight Control System for UAV mmWave MIMO Communications

2. Analysis of Different Planar Antenna Arrays for mmWave Massive MIMO Systems

3. Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges

4. Unscented Kalman Filter Based Beam Tracking for UAV-enabled Millimeter Wave Massive MIMO Systems

5. Millimeter Wave Communications for Future Mobile Networks

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