Telecommunications Science ›› 2023, Vol. 39 ›› Issue (10): 49-63.doi: 10.11959/j.issn.1000-0801.2023193

• Research and Development • Previous Articles    

A spatial diversity cooperative spectrum sensing system based on blockchain and deep learning

Zhongshan XIAO1, Chunqi WANG2, Daquan FENG1   

  1. 1 Shenzhen University, Shenzhen 518060, China
    2 The State Radio Monitoring Center, Beijing 100037, China
  • Revised:2023-09-10 Online:2023-10-01 Published:2023-10-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFB1807600)


Cooperative spectrum sensing is a key technology in cognitive radio.A data-driven intelligent cooperative spectrum sensing system was proposed with spatial diversity running on a smart contract to address issues of security, privacy, incentive and hidden terminals in cooperative spectrum sensing.Specifically, a motivated spectrum sensing system was designed by taking advantage of the decentralization of blockchain technology and the immutability of data.Secondly, a deep learning-based approach was proposed to identify malicious users in the system.In addition, to achieve higher accuracy in recruiting sensing nodes more efficiently in the system, a hard decision cooperative spectrum sensing fusion algorithm based on performance weights and spatial diversity was designed.The experimental results indicate that the proposed solution outperforms traditional cooperative spectrum sensing algorithms in terms of security, privacy, motivation, and sensing accuracy.

Key words: cooperative spectrum sensing, cognitive radio, blockchain, smart contract, machine learning

CLC Number: 

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