Matching Theory Based Physical Layer Secure Transmission Strategy for Cognitive Radio Networks | Zendy

Zhou Tian | Zendy; Shen Yi | Zendy; Pan Zhiwen | Zendy; Liu Nan | Zendy; You Xiaohu | Zendy

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Matching Theory Based Physical Layer Secure Transmission Strategy for Cognitive Radio Networks

Author(s) -

Zhou Tian,

Shen Yi,

Pan Zhiwen,

Liu Nan,

You Xiaohu

Publication year - 2021

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2021.3067345

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In this paper, a cooperative secure transmission strategy is proposed for cognitive radio networks (CRNs) comprising of multiple primary users (PUs), multiple secondary users (SUs) and malicious eavesdroppers. Specifically, we construct the utility functions for primary users and secondary users that try to achieve the transmission opportunities, and optimization problem aiming at maximizing the aggregated throughput of network is formulated. Then, distributed primary users-secondary users matching algorithm is proposed to solve the optimization problem, and the final cooperative secure transmission strategy is obtained. Simulation results show that our proposed strategy outperforms existing schemes.

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