Uplink Access Control for Machine-type Communications in LTE-A Networks

碩士 === 國立中正大學 === 資訊工程研究所 === 103 === Internet of Things (IoT) has been considered as one of the key technologies for the next decade. One of the key features of IoT is the global connectivity of things, such as smart meters, wireless sensors, etc. LTE-A has been considered as the main means for con...

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Bibliographic Details
Main Authors: Huang-Wei Lin, 林煌瑋
Other Authors: Ren-Hung Hwang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/09197643262894647201
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Summary:碩士 === 國立中正大學 === 資訊工程研究所 === 103 === Internet of Things (IoT) has been considered as one of the key technologies for the next decade. One of the key features of IoT is the global connectivity of things, such as smart meters, wireless sensors, etc. LTE-A has been considered as the main means for connecting wireless devices to the Internet. For this reason, Machine Type Communication (MTC) has been defined in the 3GPP LTE-A specification. As the development of IOT , MTC will face many challenge. Firstly, the initial design for LTE-A network is to support Human Type Communication (HTC). However, traffic characteristics of MTC and HTC could be very different, such as data size, transmission cycle and delay tolerance. How to accommodate large amount of MTC without affecting the grade of service of HTC is a big challenge. Secondly, when a device wants to access the LTE-A network, it has to start Random Access(RA) procedure for communicating with the eNB. After the procedure, the device can then synchronize in uplink and downlink and transmit or receive data. As the number of machines is expected to be much larger than HTC devices, an eNB in LTE-A will face too many RA requests from MTC devices. Without proper access control, the success rate of RA requests from HTC devices could degrade quickly. Therefore, the focus of this research is to propose a proper random access procedure such that the access success rate of HTC devices will not be affected by the traffic of MTC or access requests from a large number of MTC devices. In this thesis, we proposed an Adaptive RACH Resource Allocation (ARRA) scheme which integrates several control schemes, include Resource Adjustment scheme, ACB scheme and Priority Device Setting scheme. Our simulation results show that the proposed ARRA scheme is able to achieve high access success rate and low delay of HTC devices while providing different quality of service (QoS) to different type of MTC traffic.