Abstract
In recent years, with the rapid development of Internet technology, the large-scale popularization of smart phones, tablet computers and other intelligent terminal devices, and the gradual enrichment of 3G, 4G and other mobile network resources, the digital and mobile online guiding method is more and more accepted by people. At the same time, there are still many problems in online education, such as poor learning effect, enterprise profit difficulties and so on. At present, with the rapid development of higher education in China, the scale of higher education has achieved unprecedented growth, but there are also many problems, among which the more prominent problem is the unbalanced development of regional higher education. Therefore, it is necessary to adjust the regional structure of higher education so that higher education can become an inexhaustible driving force for regional development and promote the benign interaction and coordinated development between higher education and the region. The core idea of distributed communication system is to establish multiple call servers to provide services for users. The whole system adopts fully distributed structure, and a certain number of servers are deployed in each node of the network. The bearing capacity of the server is expanded to facilitate customers to access the communication network. Users can use the services provided by such a communication system anytime and anywhere, and realize real mobile communication. Based on the remote sensing deep learning method and the principle of distributed communication, this paper constructs intelligent online guiding network regional planning based on the remote sensing edge-driven distributed communication system with soft computing. Theough the modelling and simulation, the designed systen is proven to be effective.
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Acknowledgements
The study was supported by “National Natural Science Foundation of China: Research on the space-time structure, early warning and balanced development of compulsory education in China (Grant No. 41671148)”.
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Gu, Z., Yi, J., Yao, H. et al. Intelligent online guiding network regional planning based on software-driven autonomous communication system. Autom Softw Eng 29, 14 (2022). https://doi.org/10.1007/s10515-021-00309-7
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DOI: https://doi.org/10.1007/s10515-021-00309-7