Abstract: To ensure stable transmission of big data, a device big data transmission load optimization algorithm based on 5G network is proposed. The factors that affect the performance of big data transmission are analyzed,including data latency, average stream bandwidth utilization, and throughput. Morphological filtering algorithms are used to perform low-pass filtering on big data, eliminating noise in the data and reducing data transmission delay. Dynamically big data transmission channels are selected to avoid data congestion in the network and improve network throughput. On the basis of information transmission matrix mapping, data transmission accuracy is improved, and a capacity expansion mechanism is designed to improve network bandwidth utilization
and complete load optimization. The experimental results show that after optimization using the proposed algorithm, the bandwidth utilization rate is improved, and the network energy consumption and data transmission delay are reduced.

Key words: 5G network, morphological filtering, equipment big data, capacity expansion mechanism, transmission load optimization