Multiple-group narrow band Internet of Things optimization based on deep learning

Narrow Band Internet of Things (NB-IoT) is a technology based on cellular which presents different configuration depending on different requirement and supports massive IoT devices to get access in groups. A specific configuration will set the number of resource assigned to different groups, using f...

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Main Author: Hsu, Chih Wei
Other Authors: Soong Boon Hee
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141135
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1411352023-07-04T16:42:01Z Multiple-group narrow band Internet of Things optimization based on deep learning Hsu, Chih Wei Soong Boon Hee School of Electrical and Electronic Engineering EBHSOONG@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Narrow Band Internet of Things (NB-IoT) is a technology based on cellular which presents different configuration depending on different requirement and supports massive IoT devices to get access in groups. A specific configuration will set the number of resource assigned to different groups, using for transmitting data and random access. If the amount of devices in the network is not massive, the sufficient resource will maintain good performance. However, the number of devices in the NB-IoT usually leads to a RACH overload, the performance is hence degraded. This project aims to optimize the configuration which increases the average number of successful devices which can get access and transmit data simultaneously. A deep learning algorithm is proposed, which is based on deep neural network and multi agents. The result shows that the proposed approach has better performance than the traditional conventional approach, reflecting on the value of repetition and RAO. Master of Science (Communications Engineering) 2020-06-04T05:50:20Z 2020-06-04T05:50:20Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/141135 en 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::Wireless communication systems
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Hsu, Chih Wei
Multiple-group narrow band Internet of Things optimization based on deep learning
description Narrow Band Internet of Things (NB-IoT) is a technology based on cellular which presents different configuration depending on different requirement and supports massive IoT devices to get access in groups. A specific configuration will set the number of resource assigned to different groups, using for transmitting data and random access. If the amount of devices in the network is not massive, the sufficient resource will maintain good performance. However, the number of devices in the NB-IoT usually leads to a RACH overload, the performance is hence degraded. This project aims to optimize the configuration which increases the average number of successful devices which can get access and transmit data simultaneously. A deep learning algorithm is proposed, which is based on deep neural network and multi agents. The result shows that the proposed approach has better performance than the traditional conventional approach, reflecting on the value of repetition and RAO.
author2 Soong Boon Hee
author_facet Soong Boon Hee
Hsu, Chih Wei
format Thesis-Master by Coursework
author Hsu, Chih Wei
author_sort Hsu, Chih Wei
title Multiple-group narrow band Internet of Things optimization based on deep learning
title_short Multiple-group narrow band Internet of Things optimization based on deep learning
title_full Multiple-group narrow band Internet of Things optimization based on deep learning
title_fullStr Multiple-group narrow band Internet of Things optimization based on deep learning
title_full_unstemmed Multiple-group narrow band Internet of Things optimization based on deep learning
title_sort multiple-group narrow band internet of things optimization based on deep learning
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/141135
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