SCIENTIA SINICA Informationis, Volume 50 , Issue 11 : 1767(2020) https://doi.org/10.1360/SSI-2020-0101

Intelligent spectrum collaboration and confrontation in wireless communication networks

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  • ReceivedApr 21, 2020
  • AcceptedJun 4, 2020


With the rapid development of the Internet of Things, unmanned systems, and artificial intelligence, the use of spectrums in wireless communication networks is increasing. This is a complex, dynamic and intelligent trend, but it faces several challenges. These include: the accurate recognition of spectrum usage behaviors, efficient spectrum collaboration among legitimate users, and intelligent spectrum confrontation against malicious users. To solve these problems, an architecture of intelligent spectrum collaboration and confrontation is proposed in this paper, which includes five domains: the electromagnetic, signal, information, knowledge, and execution domains. Based on game theory and machine learning, this paper details key technologies in four aspects: the acquisition of spectrum states, the identification and conjecture of spectrum usage behaviors, collaborative spectrum usage decision among legitimate users, and the adaptation and evolution of spectrum confrontations. Intelligent spectrum collaboration and confrontation can be realized in complex electromagnetic environments through recognition, inference, autonomous requisition, and the release of spectrums.

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