PRP M/G/m Queuing Theory Spectrum Handoff Model Based on Classified Secondary Users

被引:2
|
作者
Ma Bin [1 ]
Cheng Shuangguo [1 ]
Xie Xianzhong [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Cognitive Radio (CR); Spectrum handoff; Queuing theory;
D O I
10.11999/JEIT171117
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to meet different delay requirements of secondary users and improve the channel utilization, a PRP M/G/m queuing theory spectrum handoff model based on classified secondary user is proposed. Firstly, according to different delay requirements of the main service, secondary users are classified into delay-sensitive and non-delay-sensitive users. The delay-sensitive users have higher priority to access the channel. Secondly, PRP M/G/m queuing theory is adopted to establish the spectrum handoff model. Meanwhile, the extended data delivery time of secondary users with different priorities is deduced and analyzed. Then the adaptive spectrum handoff strategy for secondary users is proposed. Simulation results suggest that the proposed model can reduce the handoff delay and extended data delivery time, which can effectively ensure the QoS of high-priority secondary users and improve the overall performance.
引用
收藏
页码:1963 / 1970
页数:8
相关论文
共 16 条
  • [1] Spectrum Mobility in Cognitive Radio Networks
    Christian, Ivan
    Moh, Sangman
    Chung, Ilyong
    Lee, Jinyi
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2012, 50 (06) : 114 - 121
  • [2] Cognitive radio: Brain-empowered wireless communications
    Haykin, S
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2005, 23 (02) : 201 - 220
  • [3] Spectrum handoff in cognitive radio networks: A classification and comprehensive survey
    Kumar, Krishan
    Prakash, Arun
    Tripathi, Rajeev
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 61 : 161 - 188
  • [4] Optimal target channel selection algorithm based on hybrid spectrum handoffs in cognitive radio networks
    Ma B.
    Bao X.
    Xie X.
    [J]. Bao, Xiaomin (505965590@qq.com), 2017, Science Press (39): : 31 - 37
  • [5] Cognitive radio: Making software radios more personal
    Mitola, J
    Maguire, GQ
    [J]. IEEE PERSONAL COMMUNICATIONS, 1999, 6 (04): : 13 - 18
  • [6] Analysis of secondary user performance in cognitive radio networks with reactive spectrum handoff
    Salameh, Osama
    De Turck, Koen
    Bruneel, Herwig
    Blondia, Chris
    Wittevrongel, Sabine
    [J]. TELECOMMUNICATION SYSTEMS, 2017, 65 (03) : 539 - 550
  • [7] An Optimized Hybrid Approach for Spectrum Handoff in Cognitive Radio Networks With Non-Identical Channels
    Tayel, Ahmed F.
    Rabia, Sherif I.
    Abouelseoud, Yasmine
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2016, 64 (11) : 4487 - 4496
  • [8] Advances in Cognitive Radio Networks: A Survey
    Wang, Beibei
    Liu, K. J. Ray
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2011, 5 (01) : 5 - 23
  • [9] Analysis of Reactive Spectrum Handoff in Cognitive Radio Networks
    Wang, Chung-Wei
    Wang, Li-Chun
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2012, 30 (10) : 2016 - 2028
  • [10] Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks
    Wang, Li-Chun
    Wang, Chung-Wei
    Chang, Chung-Ju
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2012, 11 (09) : 1499 - 1513