Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (7): 340-346.doi: 10.11896/jsjkx.200900001

• Computer Network • Previous Articles    

Dynamic Broadcasting Strategy in Cognitive Radio Networks Under Delivery Deadline

FANG Ting1, GONG Ao-yu1, ZHANG Fan1, LIN Yan1, JIA Lin-qiong1,2, ZHANG Yi-jin1   

  1. 1 School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
    2 National Mobile Communications Research Laboratory,Southeast University,Nanjing 210018,China
  • Received:2020-09-01 Revised:2021-01-09 Online:2021-07-15 Published:2021-07-02
  • About author:FANG Ting,born in 1998,postgra-duate,is a member of China Computer Federation.Her main research interests include design and optimization for protocols in wireless networks.(ting.fang@njust.edu.cn)
    ZHANG Yi-jin,born in 1982,Ph.D,professor.His main research interests include sequence design,wireless networks,and artificial intelligence.
  • Supported by:
    National Natural Science Foundation of China(62071236,62001225),Fundamental Research Funds for the Central Universities of China(30920021127,30919011227),Natural Science Foundation of Jiangsu Province(BK20190454) and Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(2020D19).

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Abstract: In cognitive radio networks with delivery deadline requirements,secondary users need to opportunistically broadcast messages using the channel unoccupied by primary users (PUs) within a given delivery deadline.For this scenario,this paper proposes a new cognitive radio network dynamic broadcasting strategy under delivery deadline,which allows each secondary user (SU) to adjust the transmission probability according to the observation of carrier sensing in each slot,the remaining time before deadline expiration and the PU traffic model.Based on an ideal assumption on the observation of carrier sensing,this paper obtains an optimal broadcasting strategy and the maximum network reliability using Markov decision process (MDP).Then,accor-ding to a practical observation capability of carrier sensing,this paper proposes a heuristic broadcasting strategy and uses another MDP to obtain the network reliability of this heuristic strategy.Simulation results verify the accuracy of the analysis and show that the network reliability of the proposed heuristic strategyis very close to the maximum network reliability under the ideal observation,and is superior to that of the optimal statics trategy.

Key words: Cognitive radio, Delivery deadline, Dynamic broadcasting strategy, Markov decision process, Reliability

CLC Number: 

  • TN911
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