The Research on M2M Load Prediction Algorithm

With the development of Internet of things and mobile communication network, more and more devices have the abilities of communication and networking, which makes all terminal devices to connect the network changing into reality gradually. However, with the explosion of machine-type's communication equipment, the problem of preamble collision in random access process becomes more and more prominent. In this article, a hidden markov load based on feedback correction is proposed for M2M network random access. By observing the status of preambles at the base station terminal, real-time load prediction was made for M2M access terminals at different time points, and the predicted load value was fitted with historical data to reduce the error of load prediction. Compared with the existing load prediction algorithm through simulation, the proposed scheme can predict the load of access terminal in real time, significantly improve the system access success rate and reduce the total service time.