Affiliations: School of Artificial Intelligence and Big Data, Zibo Vocational Institute, Zibo, Shandong, China | E-mail: [email protected]
Correspondence:
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Corresponding author: School of Artificial Intelligence and Big Data, Zibo Vocational Institute, Zibo, Shandong, China. E-mail: [email protected].
Abstract: With the development of cloud computing technology, cloud computing has been applied in various fields, but there is a lack of research in the Massive Machine Type Communication (mMTC) scenario. This article analyzed wireless communication reliability solutions in cloud computing mMTC scenarios to address this issue. Using the method of cloud computing, this article analyzed the reliability of wireless communication schemes and verified the effectiveness of the algorithm through credibility judgment and algorithm convergence characteristics under the guidance of wireless communication schemes. By analyzing the application of cloud computing in wireless communication solutions, this article analyzed the effectiveness of wireless communication solutions in the experimental section by comparing the error rate, success rate, and convergence of various algorithms. Through experimental analysis, it was found that the implementation success rate of chaotic particle swarm optimization algorithm was 5% higher than that of adaptive particle swarm optimization. The results indicated that cloud computing was well applied in wireless communication networks, thus providing reference significance for the application of cloud computing in other communication fields.
Keywords: Cloud computing, mMTC scenario, wireless communication, reliability planning research
