Channel modelling for 5G & 6G wireless system

This report presents a survey on key technologies of 5G and future 6G wireless communication channel measurements, characteristics, and models for all frequencies and scenarios. This report is classified into three main sections 5G and future 6G wireless communication networks, for global coverage s...

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Main Author: Low, Kai Wen
Other Authors: Guan Yong Liang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157470
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1574702023-07-07T19:21:00Z Channel modelling for 5G & 6G wireless system Low, Kai Wen Guan Yong Liang School of Electrical and Electronic Engineering EYLGuan@ntu.edu.sg Engineering::Electrical and electronic engineering This report presents a survey on key technologies of 5G and future 6G wireless communication channel measurements, characteristics, and models for all frequencies and scenarios. This report is classified into three main sections 5G and future 6G wireless communication networks, for global coverage scenarios and application scenarios. For general wireless communication networks: • Millimeter-wave (mm-wave)/Terahertz • Visible light wireless communication channels (VLC) For wireless communication networks for global coverage scenarios: • Satellite communication channels • Unmanned aerial vehicle (UAV) • Maritime communication channels • Underwater acoustic communication channels For wireless communication networks application • High-speed train (HST) communication channels • Ultra-massive multiple-input, multiple-output (MIMO) communication channels • Orbital angular momentum (OAM) communication channels • Industry Internet of Things (IoT) communication channels This report provided an analysis of important parameters affecting the performance of HST wireless communication comparing two different models and provides a summary of the terahertz wireless communication. This report also proposed future research challenges of the 6G channel model, artificial intelligence (AI) & machaca learning (ML) channel measurements and models. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T06:20:22Z 2022-05-19T06:20:22Z 2022 Final Year Project (FYP) Low, K. W. (2022). Channel modelling for 5G & 6G wireless system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157470 https://hdl.handle.net/10356/157470 en A3304-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Low, Kai Wen
Channel modelling for 5G & 6G wireless system
description This report presents a survey on key technologies of 5G and future 6G wireless communication channel measurements, characteristics, and models for all frequencies and scenarios. This report is classified into three main sections 5G and future 6G wireless communication networks, for global coverage scenarios and application scenarios. For general wireless communication networks: • Millimeter-wave (mm-wave)/Terahertz • Visible light wireless communication channels (VLC) For wireless communication networks for global coverage scenarios: • Satellite communication channels • Unmanned aerial vehicle (UAV) • Maritime communication channels • Underwater acoustic communication channels For wireless communication networks application • High-speed train (HST) communication channels • Ultra-massive multiple-input, multiple-output (MIMO) communication channels • Orbital angular momentum (OAM) communication channels • Industry Internet of Things (IoT) communication channels This report provided an analysis of important parameters affecting the performance of HST wireless communication comparing two different models and provides a summary of the terahertz wireless communication. This report also proposed future research challenges of the 6G channel model, artificial intelligence (AI) & machaca learning (ML) channel measurements and models.
author2 Guan Yong Liang
author_facet Guan Yong Liang
Low, Kai Wen
format Final Year Project
author Low, Kai Wen
author_sort Low, Kai Wen
title Channel modelling for 5G & 6G wireless system
title_short Channel modelling for 5G & 6G wireless system
title_full Channel modelling for 5G & 6G wireless system
title_fullStr Channel modelling for 5G & 6G wireless system
title_full_unstemmed Channel modelling for 5G & 6G wireless system
title_sort channel modelling for 5g & 6g wireless system
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157470
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