Adaptive ultra-short-wave parameter distribution based on ARIMA-predicted fountain codes

Ultra-short-wave wireless parameter distribution is one of the important means of parameter distribution in mobile communication systems. Compared with manual parameter distribution, it can significantly reduce the operational burden of personnel and improve the efficiency of system opening. To address the low efficiency of current ultra-short-wave wireless parameter distribution and transmission, this paper proposes a predictive encoding-based parameter distribution model. Considering the poor channel quality and high packet loss rate of ultra-short-wave communication, we draw on the advantages of fountain codes, such as no fixed bit rate requirement, no need for receiver feedback, and high encoding efficiency. We design an ultra-short-wave wireless parameter distribution message based on fountain code encoding, tailored for parameter distribution over ultra-short-wave wireless channels. In response to the complex and variable electromagnetic interference in the mobile communication system usage environment, as well as the frequent changes in packet loss rate of ultra-short-wave wireless channels, which affect the efficiency of fountain code encoding and reduce the success rate of parameter distribution, an ARIMA prediction model is constructed based on historical packet loss data of ultra-short-wave wireless channels to predict the packet loss rate of ultra-short-wave channel wireless parameter distribution and perform adaptive fountain code encoding to improve the efficiency of ultra-short-wave channel parameter distribution. Through simulation verification, the proposed ultra-short-wave wireless parameter distribution technology based on predictive coding achieves high prediction accuracy (relative error ≤ 9.2%), low coding redundancy, and a decoding success rate consistently above 99%. Compared to fixed-redundancy schemes, it reduces the amount of transmitted data by up to 18% under favorable channel conditions and by an average of 12.4% across a typical range of packet loss rates (0%–30%). Moreover, by virtually eliminating the need for retransmissions, the proposed method improves the system activation speed by an average of 18.3% in simulation experiments, thereby significantly accelerating the deployment of mobile communication systems.