Journal on Communications ›› 2020, Vol. 41 ›› Issue (10): 139-147.doi: 10.11959/j.issn.1000-436x.2020180

• Papers • Previous Articles     Next Articles

Secrecy performance analysis on cooperative CR-NOMA network

Zhen YANG1,2,Mengyao ZHU1,Youhong FENG3   

  1. 1 College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2 National Local Joint Engineering Research Center for Communications and Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    3 School of Physical and Electronic Information,Anhui Normal University,Wuhu 241199,China
  • Revised:2020-08-04 Online:2020-10-25 Published:2020-11-05
  • Supported by:
    The National Natural Science Foundation of China(61671252);The Natural Science Foundation of Anhui Province(2008085MF181)

Abstract:

In order to improve the secrecy performance of communication system and make efficient use of limited spectrum,overlay cognitive radio (OCR) technology was combined with non-orthogonal multiple access (NOMA) technology and the communication model was proposed,in which secondary network realized dynamic switching between assisting primary network communication and secondary network communication by sensing whether the primary user occupied the spectrum or not.Artificial noise (AN) aided technology was used in primary and secondary networks respectively to further improve the secrecy performance of the system.The secrecy performance of the system was studied by deducing the expressions of the primary and secondary network secrecy outage probability and secrecy throughput respectively.The simulation results show that the proposed cognitive cooperative NOMA communication scheme is beneficial in reducing secrecy outage probability and increasing secrecy throughput.Furthermore,the influence of AN power allocation factor on system performance is given.

Key words: overlay cognitive radio, non-orthogonal multiple access, artificial noise, secrecy outage performance

CLC Number: 

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