2019 IEEE 19th International Conference on Communication Technology (ICCT) | 2019
Research on Stochastic Resonance Enhanced Coverage and Power Control in NB-IoT
Abstract
Narrowband Internet of Things (NB-IoT) is a new cellular technology introduced by 3GPP Release 13, and it is one of the most potential technologies for Low-Power WideArea Network (LPWAN) due to its four key characteristics of wide coverage, low power consumption, low cost and large connection. Stochastic Resonance (SR) is a technique in which the noise energy can be converted into signal energy in a nonlinear system to improve the signal-to-noise ratio (SNR). Based on the existing NB-IoT, the SR technology is adopted to enhance the wireless signals received by the base station. Two system models are proposed to improve the coverage of the base station and reduce the power consumption of the terminal. The sensitivity of several SR systems to noise uncertainty is studied. The SR system with relatively low sensitivity is combined with Okumura-Hata wireless communication model to improve the coverage of NB-IoT base station. At the same time, the power consumption of the terminal is reduced without changing the coverage area of the cell. Theoretical analysis and simulation results show that the proposed model of SR combined with NB-IoT wireless system is effective in enhancing base station coverage and reducing terminal power consumption.