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Issue title: Special Section: Intelligent & fuzzy theory in engineering and science
Guest editors: Teresa Guarda, Isabel Lopes and Álvaro Rocha
Article type: Research Article
Authors: Cheng, Weidong; *
Affiliations: Department of Traffic Engineering, Beijing Information Technology College, Beijing, China
Correspondence: [*] Corresponding author. Weidong Cheng, Traffic Engineering Department, Beijing Information Technology College, Beijing, 100015, China. E-mail: zqpybv058@163.com.
Abstract: Intelligent interference communication technology is an important direction for the development of a new generation of anti-jamming communication system through the recognition of complex electromagnetic interference environment and the use of learning and intelligent decision-making methods to achieve efficient and reliable information transmission. A channel prediction algorithm based on intelligent interference communication technology is proposed, and only a small-scale fading channel model is considered. Under the background of rapid development of information technology, the level of anti-interference of electronic communication is further improved, and the reliability of information transmission is effectively guaranteed. Under the background of fully expounding the physical layer security technology, the anti-interference scheme in large-scale multi-antenna system in electronic communication is designed. Based on the physical layer security communication model in the full-duplex network, a channel prediction scheme is innovatively proposed to reduce the impact of imperfect CSI. Through this measure to improve network security performance, the proposed anti-interference scheme was tested. The test results show that because Massive MIMO can direct the transmit beam and energy to the user direction, in the physical layer security scenario, for malicious eavesdroppers in the network, it cannot steal information and is difficult to interfere with electronic communication.
Keywords: Intelligent algorithm, electronic communications, anti-jamming technology
DOI: 10.3233/JIFS-179165
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 5837-5847, 2019
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