臺灣博碩士論文加值系統

With increasing usage of Narrowband Internet of Things (NB-IoT), it’s necessary to make sure all aspects of the system are optimized in order to achieve reliable communication of all devices in the network. There are few key parameters of uplink transmission, which have to be evaluated and assigned to devices in order to make the transmission possible. Those parameters depend, for example, on the distance of the device from the Evolved Node B (eNB), coupling loss, or remaining energy of devices. An energy consumption is the key characteristic of each IoT device as it influences its battery life. The energy consumed for transmitting data from a device to eNB takes a major part of the energy consumed by a device for its whole operation. An impact of individual uplink transmission parameter in Narrowband Internet of Things on the energy consumption of the device is analyzed in this thesis. Complex dependency flow is the major outcome of this thesis as well as energy consumption evaluation based on input parameters.

With increasing usage of Narrowband Internet of Things (NB-IoT), it’s necessary to make sure all aspects of the system are optimized in order to achieve reliable communication of all devices in the network. There are few key parameters of uplink transmission, which have to be evaluated and assigned to devices in order to make the transmission possible. Those parameters depend, for example, on the distance of the device from the Evolved Node B (eNB), coupling loss, or remaining energy of devices. An energy consumption is the key characteristic of each IoT device as it influences its battery life. The energy consumed for transmitting data from a device to eNB takes a major part of the energy consumed by a device for its whole operation. An impact of individual uplink transmission parameter in Narrowband Internet of Things on the energy consumption of the device is analyzed in this thesis. Complex dependency flow is the major outcome of this thesis as well as energy consumption evaluation based on input parameters.

Contents
List of Figures vi
1 Introduction 1
2 Narrowband Internet of Things 3
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.2 Transmission Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.3 Coupling Loss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.4 Parameters determination procedure . . . . . . . . . . . . . . . . . . . 10
3 System Model 11
4 Proposed model 12
4.1 Dependencies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
4.2 Signal to Noise Ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
4.3 Resource allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
4.4 Modulation and Coding Scheme . . . . . . . . . . . . . . . . . . . . . . 18
4.5 Repetition number . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
4.6 Device transmitting power . . . . . . . . . . . . . . . . . . . . . . . . . 23
4.7 Energy consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
5 Analytic Results
27
5.1 Number of repetitions . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
5.2 Tone allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
5.3 MCS allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
6 Conclusion 30
7 References 31
Appendices 33

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