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Volume 43 Issue 2
Feb.  2021
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Kenan ZHANG, Guofang TU, Can ZHANG, Deyuan CHEN. Joint Virtual User Identification and Channel Security En/Decoding Method for Ad hoc Networks[J]. Journal of Electronics & Information Technology, 2021, 43(2): 380-387. doi: 10.11999/JEIT190644
Citation: Kenan ZHANG, Guofang TU, Can ZHANG, Deyuan CHEN. Joint Virtual User Identification and Channel Security En/Decoding Method for Ad hoc Networks[J]. Journal of Electronics & Information Technology, 2021, 43(2): 380-387. doi: 10.11999/JEIT190644

Joint Virtual User Identification and Channel Security En/Decoding Method for Ad hoc Networks

doi: 10.11999/JEIT190644
Funds:  The National Natural Science Foundation of China (61571416, 61271282), The Award Foundation of Chinese Academy of Sciences (Y82901EA1)
  • Received Date: 2019-08-27
  • Rev Recd Date: 2020-03-02
  • Available Online: 2020-12-09
  • Publish Date: 2021-02-23
  • Ad hoc network is a kind of self-organized network without center. The reliability of virtual user identification and channel security are reduced when SNR is low due to user energy limitation. In order to solve this problem, a joint virtual user identification and channel security en/decoding method is proposed in this paper. Transmitter-receiver-based virtual user identification code is generated by xoring the orthogonal address code of transmitter with the pseudo random address code of receiver and encrypted with channel security code as key to acquire orthogonal random secure sequence so as to improve channel security. In order to realize spread spectrum as well as improve transmission efficiency, transmitted data is divided into 6-bit symbols, each symbol is mapped with an orthogonal random secure sequence. Receivers adopt subspace-based method to process received data and establish a judgment model to identify virtual users. Simulation results indicate that the proposed method obtains 1.6 dB

    \begin{document}${{E_b}}/{{N}}_0$\end{document}

    gains compared with existing methods when miss alarm rate of virtual user identification is 10–3.

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