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Title A Residual Network Based Combined Spectrum And Energy Efficiency Optimization
ID_Doc 4085
Authors Verma R.; Singh S.K.
Year 2022
Published Proceedings of International Conference on Computing, Communication, Security and Intelligent Systems, IC3SIS 2022
DOI http://dx.doi.org/10.1109/IC3SIS54991.2022.9885618
Abstract Vehicle platooning is a smart city application that enhances traffic capacity and safety by using Cellular-Vehicle to everything (C-V2X). Unlike highway platooning, C-V2X may be more vulnerable to eavesdropping and the spectrum may be restricted when the cars merge at a junction. The platooning network's Spectrum Efficiency (SE) and Energy Efficiency (EE) must be improved in order to meet C-confidentiality Vehicle to Everything's (V2X's) requirements. In this paper, we have proposed Resnet50 with multi-objective optimization that is used to enhance the security and efficiency of Spectrum and Energy. Improve security and efficiency via optimization. © 2022 IEEE.
Author Keywords Q-learning; Residual Network; secrecy rate; Spectrum and Energy efficiency


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