Remote control of drone and robot with 5G networks
Due to the business and life-saving application of drones, drones are increasingly used today, requiring a robust communication system capable of real-time remote control and with a bandwidth high enough to support video streaming. 5G is one such communication system. However, current field tests...
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2022
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sg-ntu-dr.10356-1634202023-07-07T19:36:16Z Remote control of drone and robot with 5G networks Tan, Solomon Wei Jie Lin Zhiping School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research Zeng Yonghong EZPLin@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Due to the business and life-saving application of drones, drones are increasingly used today, requiring a robust communication system capable of real-time remote control and with a bandwidth high enough to support video streaming. 5G is one such communication system. However, current field tests indicate that 5G is not capable of delivering its promised latency and bandwidth. Research work is underway to improve the scheduling latency of the 5G network. However, the simulation software used does not support latency measurement or modeling of low-latency traffic, and there has been no field test conducted in Singapore. Therefore, this project implements three new features in the simulation software to support latency measurement and support low-latency traffic simulation. It also proposes a means of conducting a field test in Singapore in compliance with local regulations. Due to the time and budgetary constraints of this project, the field test, although planned, is not conducted. The results of the simulation tests also indicate that the new features are successfully implemented in the simulation software. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-12-06T01:32:15Z 2022-12-06T01:32:15Z 2022 Final Year Project (FYP) Tan, S. W. J. (2022). Remote control of drone and robot with 5G networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163420 https://hdl.handle.net/10356/163420 en CY3001-221 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Wireless communication systems Tan, Solomon Wei Jie Remote control of drone and robot with 5G networks |
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Due to the business and life-saving application of drones, drones are increasingly
used today, requiring a robust communication system capable of real-time remote
control and with a bandwidth high enough to support video streaming. 5G is one
such communication system. However, current field tests indicate that 5G is not
capable of delivering its promised latency and bandwidth. Research work is
underway to improve the scheduling latency of the 5G network. However, the
simulation software used does not support latency measurement or modeling of
low-latency traffic, and there has been no field test conducted in Singapore.
Therefore, this project implements three new features in the simulation software
to support latency measurement and support low-latency traffic simulation. It
also proposes a means of conducting a field test in Singapore in compliance with
local regulations. Due to the time and budgetary constraints of this project, the
field test, although planned, is not conducted. The results of the simulation tests
also indicate that the new features are successfully implemented in the simulation
software. |
author2 |
Lin Zhiping |
author_facet |
Lin Zhiping Tan, Solomon Wei Jie |
format |
Final Year Project |
author |
Tan, Solomon Wei Jie |
author_sort |
Tan, Solomon Wei Jie |
title |
Remote control of drone and robot with 5G networks |
title_short |
Remote control of drone and robot with 5G networks |
title_full |
Remote control of drone and robot with 5G networks |
title_fullStr |
Remote control of drone and robot with 5G networks |
title_full_unstemmed |
Remote control of drone and robot with 5G networks |
title_sort |
remote control of drone and robot with 5g networks |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163420 |
_version_ |
1772826974943707136 |