Band assignment for massive IoT devices

Abstract

In this project, a novel Internet of Things (IoT) ultra-narrowband (UNB) network architecture, including multiple(various) multiplexed frequency bands and channels was introduced for the uplink spread. Internet of Things (IoT) devices is able to select frequency band and transmit their data packets randomly. However, a base station (BS) is only able to obtain data from one multiplexing band due to hardware limitations. The complexity of conducting a Fast Fourier Transform (FFT) at a very limited sampling interval on multiplexed bands to deduce the influence of IoT device uncertainty and synchronize onto transmissions is the main reason for hardware constraint. This paper has looked into some previous work and experiments such as UNB LPWAN networks, as well as several concepts mentioned in other research. More importantly, the paper has also introduced various technologies of IoT networks to help obtain a more thorough view of current work. The purpose of this paper is to figure out a way of assigning base stations to multiplexing bands, therefore maximizing the packet decoding probability (PDP). This work comes up with an algorithm aiming to better assign the band in order to reach a maximization in PDP, importantly, transfer it into finding the maximum SINR. With the use of our algorithm, three results reveal to meet the requirements. All the methods that have been looked into and the one that is introduced in this paper significantly exceed the performance of the original random allocation. In addition, this paper also seeks to improve the algorithm by figuring out how the interference signals are assigned and obtain a maximum PDP by calculating the transmission with the minimum interference.