Communication scheduling method of big data in Internet of Things based on decision feedback equalization and spread spectrum modulation technology

Abstract

In order to improve the accuracy of communication transmission of big data in Internet of Things and reduce output bit error rate, a communication scheduling method of big data in Internet of things based on decision feedback equalization and spread spectrum modulation technology is proposed in this paper. In this method, a model of big data communication channel in Internet of Things is constructed, and the autocorrelation matched filtering method is used for multi-path interference suppression to communication of big data in Internet of Things; the decision feedback equalization method is used for channel equalization design of communication scheduling, and the adaptive filter is used to compensate distorted output samples; the spread spectrum modulation technology is used to improve the bandwidth of communication scheduling channel of big data and to correct frequency characteristics, so as to optimize the communication scheduling of big data in Internet of Things. The simulation results show that when the proposed method is used for communication scheduling of big data in Internet of Things, the amplitude-frequency response is improved by 300 m and the output bit error rate is reduced by 34%, which effectively improves the communication quality of big data.