The Study of IoT Data Scheduling and Resource Allocation for Uplink Based on LTE-WLAN Aggregation

• Main Authors: Shao-En Shung, 宋韶恩
• Other Authors: Yen-Wen Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/dgc758

碩士 === 國立中央大學 === 通訊工程學系 === 105 === 3GPP and WiFi Alliance proposed the NB-IoT and 802.11ah technology respectively for the IoT application. It improves the scheduling for uplink which determines the length of NPUSCH(Narrowband Physical Uplink Shared Channel) by the number of subcarriers and slots in NB-IoT. This design is for the IoT devices which have more data in uplink. In 802.11ah, it proposed the RAW technology to deal with the contention of massive devices. Therefore, solving the contention and scheduling the data for uplink is the critical issue. The data type of IoT devices can be classified to periodic data and non-periodic data. In non-periodic data, the alarm message is very sensitive to delay time. When the event arrives, massive devices will sent the alarm messages simultaneously and it would cause the severe contention. Furthermore, it would reduce the system performance. So, we propose the new method to reduce the delay time and improving the competitive success rate. In this paper, we integrate NB-IoT and 802.11ah technology based on LWA architecture. We propose the new method to coordinate of periodic data and non-periodic data to reduce the delay time and improving the system performance. The simulation results also verify the proposed method achieves the above objectives.