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View all- and Communication Networks S(2024)RetractedSecurity and Communication Networks10.1155/2024/98157452024Online publication date: 1-Jan-2024
Decision Model of Wireless Communication Scheme Evaluation via Interval Number
Authors: 
Man Li, Yuhong Ouyang, Wenqian Kang, Xiangbei Che, Ruixian Ye Academic Editor: Zhiping CaiAuthors Info & Claims
Man Li, Yuhong Ouyang, Wenqian Kang, Xiangbei Che, Ruixian Ye Academic Editor: Zhiping CaiAuthors Info & ClaimsAbstract
This study aims to evaluate the communication schemes of wireless communication systems to make reasonable decisions. Firstly, the wireless communication scheme is assessed based on the interval number technology, and the primary evaluation process and evaluation index system are described. Secondly, the analytic hierarchy process of interval numbers is studied. Besides, a decision model has been established for wireless communication scheme evaluation. Thirdly, the evaluation index of the wireless communication scheme is determined through the simulation analysis of the model. Finally, experiments verify the decision model for evaluating wireless communication schemes based on interval numbers. Channel encoding can be adjusted automatically and can effectively track electrical signals. The results demonstrate that under the same high signal-to-noise ratio (SNR), the error rate in the 16 quadrature amplitude modulation (QAM) mode decreases faster than that in the 2 frequency shift keying (FSK) mode, so the 16QAM mode is better than the 2FSK mode. Under a low SNR, the binary phase shift keying mode is superior to the 2FSK mode, and the 2FSK mode is superior to the 16QAM mode. The bit error rate of the communication signal in the additive white Gaussian noise channel is the lowest. These findings provide a solid foundation for a universal and scalable wireless communication system. This research has practical application value for scheme evaluation and model decision-making in the wireless communication field. Models need to be tested and evaluated based on large amounts of statistical data in future studies.
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Copyright © 2022 Man Li et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 01 January 2022
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View all- and Communication Networks S(2024)RetractedSecurity and Communication Networks10.1155/2024/98157452024Online publication date: 1-Jan-2024