Toward Grant-Free Transmission of Small, Individual and Group Data from Massive IoT Devices

• Main Authors: Yeh, Chi-Pin, 葉啟彬
• Other Authors: 曾煜棋
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/47160352765728517675

碩士 === 國立交通大學 === 網路工程研究所 === 104 === The emergence of Internet of Things (IoT) has enabled many industrial and consumer applications. IoT devices usually collect and report data to base stations at regular patterns. The data transmission between IoT devices and a base station normally has the following characteristics: (1) massively connected, (2) small payload per packet, and (3) periodical or at least mostly predictable. Current communication protocols, however, are not well designed to handle these characteristics. For example, contending to send a small packet by typical random access is not cost-effective. In this work, we propose a set of efficient small data transmission protocols. Six scenarios are considered: individual uplink/downlink transmission, small number of groups transmission with same/different data, large number of groups transmission with same/different data. Our solutions utilize a novel hash function to carry resource allocation information to devices. To save signaling overhead, the hash function only takes small broadcast data as input. We show that this can save a lot of contention among IoT devices are compared to traditional random access approaches. In addition, our solutions eliminate the transmission of device IDs, thus increasing throughput significantly when payloads are small. Through extensive simulations, we validate the efficiency of our solutions.