Study of Uplink Data Transmission Schemes for Group based IoT Devices in LTE-A Network

• Main Authors: Kai-Chen Chen, 陳楷蓁
• Other Authors: Yen-Wen Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/mxgqqs

碩士 === 國立中央大學 === 通訊工程學系 === 105 === For the 4G into 5G, the traditional resource allocation is facing a new challenge. The reason is that 5G wireless systems will need to achieve the coexistence of the mass Internet of Thing (IoT) network and the Human Type Communication (HTC). Due to different traffic flow, IoT device has challenges to the random access process and resource allocation algorithm of traditional LTE networks. Which will cause the existing core network overload. There are many IoT devices sending access requests to the base station at the same time. It will cause serious access collision. The existing scheduling algorithm cannot effectively digest the heavy signaling. Therefore, it need a innovative solution to solve this problem. In this paper, we group the massive IoT devices into clusters based on their geographical location. We choose a device in the cluster as Aggregator. It is a bridge for other devices in the cluster to transmit the large data, and reduce the signaling. The devices are be divided into periodic devices and non-periodic devices, according to the way they produce the data. The periodic polling of the LTE-A system and the random access procedure are be used as the transmission link between the base station and the Aggregator. The combination of the two methods will reduce the latency of the data. Next, we propose a variable probability of P to maintain the system in the best state and improve the system performance. The method proposed in this paper can reduce the delay time of the IoT devices and improve the system throughput by the probability P. Therefore, we can use this method to reduce the large signaling, also to maintain a transmission quality.