Resource Allocation Algorithm In Narrow Band Internet Of Things

With the continuous development of the Internet of Things industry,the number of terminals of IoT devices has exploded and the application scenarios of the Internet of Things have been continuously enriched.In addition,the environment for the deployment of IoT devices has become increasingly complex.However,the past short-distance Internet of Things(IoT)communication technology can not meet the above requirements.Low power wide-area communication technologies such as narrow-band Internet of Things(NB-IoT)and enhanced machine type communication(eMTC)have developed rapidly in recent years,ushered in the development of the IoT.NB-IoT has received wide attention due to its wide coverage,large connectivity,low power consumption,and low cost.However,NB-IoT still face many problems,such as the explosive growth of IoT devices,the diversity of QoS requirements,and the lack of wireless resources.Based on the above problems and fully considering the characteristics of NB-IoT,this paper designs a wireless resource allocation algorithm in narrow-band Internet of Things.The main work is summarized as follows:Firstly,the current status of IoT research,the IoT architecture and the key technologies of the IoT are analyzed.The resear-ch status,potential problems and challenges of narrow-band Internet of Things are introduced.The existing resource allocation strategies in the narrow-band Internet of Things are summarized.Secondly,a dynamic uplink resource allocation algorithm based on user QoS requirements is designed.Firstly,the channel resources and time slot resources in the narrowband Internet of Things are mathematically described,aiming at maximizing the number of system service devices,and establishing an uplink resource allocation model under certain constraints.Secondly,according to the difference of QoS requirements of devices,IoT devices are divided into two types according to requirements,such as instant delay sensitive devices and non-delay sensitive devices.Then,continuous multi-carrier dynamic resource allocation algorithms and single-carrier proportional fair resource allocation algorithm are designed for the above two devices.Finally,th e simulation proves that the algorithm can significantly improve the number of successful service devices.Thirdly,a downlink resource allocation algorithm in a massive device request service scenario is designed and implemented.Firstly,the radio resources and base station resources in the massive device connection scenario based on non-orthogonal multiple access technology are modeled.The serial interference cancellation technology is introduced in the modeling process to reduce the interference caused by the shared channel.Secondly,based on the model to construct the objective function of maximizing downlink throughput,the following algorithm is proposed to achieve the goal of maximizing throughput:base station matching algorithm:dynamic suboptimal channel allocation algorithm and power allocation algorithm:convex optimization suboptimal power allocation algorithm.The allocation algorithms consider the QoS requirements of the device and the fairness of resource allocation.Finally,the simulation proves that the algorithm significantly improves the downlink throughput of the system and the number of successful service devices.