Decision Model of Wireless Communication Scheme Evaluation via Interval Number. (28th June 2022)

• Record Type: Journal Article
• Authors: Li, Man; Ouyang, Yuhong; Kang, Wenqian; Che, Xiangbei; Ye, Ruixian
• Other Names: Cai Zhiping Academic Editor.
• Is Part Of: Security and communication networks. Volume 2022(2022)
• Publication Date: 2022-06-28
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2022/5916061
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : 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.