南京大学学报(自然科学版) ›› 2018, Vol. 54 ›› Issue (4): 848–.

• • 上一篇    下一篇

认知无线电网络中一种基于主用户活动性预测的拓扑控制方法

齐小刚,张 权*   

  • 出版日期:2018-04-30
  • 作者简介:西安电子科技大学数学与统计学院,西安,710126
  • 基金资助:
    基金项目:国家自然科学基金(61572435,61472305),陕西省自然科学基金(2015JZ002,2015JM6311),宁波市自然科学基金(2016A610035) 收稿日期:2018-03-14 *通讯联系人,E-mail:824956567@qq.com

The topology control based on the primary user activity prediction in cognitive radio network

Qi Xiaogang,Zhang Quan*   

  • Online:2018-04-30
  • About author:School of Mathematics and Statistics,Xidian University,Xi’an,710126,China

摘要: 与传统的无线网络不同,认知无线电网络中次级用户的链路状态不仅受节点自身移动性的影响,也受主用户干扰的影响,这些原因使得在移动认知无线电网络中进行拓扑控制更加具有挑战性. 针对网络中次级用户与主用户优先级的不同而造成网络拓扑的不稳定问题,提出一种基于主用户预测的链路可用时间的估计模型. 与其他的预测方法相比,将主用户的活动行为作为次用户是否被主用户干扰的依据,而不是简单考虑次级用户是否进入了主用户干扰半径. 基于上述模型估计链路的可用时间,并将其作为改进最大生成树拓扑控制的目标,可以最大化网络拓扑的保持时间,避免频繁地进行网络重构,减小网络拓扑保持的花费. 仿真结果证明,基于主用户活动性的拓扑控制算法对于链路的可用持续时间的估计更加准确,同时也实现了网络拓扑保持时间的最大化.

Abstract: The stability of links in mobile cognitive radio network is significantly affected by primary user activities and node mobility. These two factors make the topology control in mobile cognitive radio network more challenging than traditional wireless networks. The instability of network topology is caused by the difference between the secondary users and the priority of the primary user in the network. For above reasons,this paper proposes an estimation model of link available time based on primary user prediction. Compared with the other existing estimation methods,the primary user activities are considered as the basis that the secondary users are interfered by the primary user,rather than whether the secondary users enter the interference radius of the primary user. Based on the above model,the available duration of the link can be estimated,and it can be taken as the objective of the topology control algorithm based on the enhanced maximum spanning tree algorithm,which maximizes network topology retention time,avoids the network topology frequent reconfiguration and reduces the network topology retention cost. Simulation results show that the topology control algorithm based on the primary user activity is more accurate for estimating the available duration of the link,and also ensures the maximum duration of the network topology.

[1] 唐 龙,伍爵博. 一种新型的认知无线电网络架构. 计算机科学,2011,3810A):326-330.(Tang L,Wu J B. Novel architecture network for cognitive radio. Computer Science,2011,38(10A):326-330.) [2] Wang B B,Liu K J R. Advances in cognitive radio networks:A survey. IEEE Journal of Selected Topics in Signal Processing,2011,5(1):5-23. [3] 刘 洋. 认知无线网络中频谱感知关键技术的研究. 博士学位论文. 南京:南京邮电大学,2013.(Liu Y. Research on key technology of spectrum sensing in cognitive radio network. Ph. D. Dissertation. Nanjing:Nanjing University of Posts and Telecommunications,2013.) [4] Neves T F,Bordim J L. Topology control in cooperative ad hoc wireless networks. Electronic Notes in Theoretical Computer Science,2014,302:29-51. [5] 齐 勇. 认知无线自组织网络拓扑控制研究. 博士学位论文. 成都:电子科技大学,2014.(Qi Y. Research on topology control in cognitive radio ad hoc networks. Ph. D. Dissertation. Chengdou:University of Electronic Science and Technology of China,2014.) [6] Guan Q,Yu F R,Jiang S M,et al. Prediction-based topology control and routing in cognitive radio mobile ad hoc networks. IEEE Transactions on Vehicular Technology,2010,59(9):4443-4452.  [7] Hadawale K,Barve S. Link prediction-based topology control and adaptive routing in cognitive radio mobile ad-hoc networks ∥ IEEE Global Conference on Wireless Computing & Networking. Lonavala,India:IEEE,2014:11-15. [8] Xue Y,Tang C,Tang F L,et al. Primary user activity prediction based joint topology control and stable routing in mobile cognitive networks ∥ Wireless Communications and Networking Conference. Doha,State of Qatar:IEEE,2016. [9] 杨怀德. 基于链路可用时间的认知无线网络拓扑控制算法. 系统仿真学报,2017,29(3):624-629.(Yang H D. Topology control algorithm based on link available time for cognitive radio network. Journal of System Simulation,2017,29(3):624-629.) [10] 林晋福,柏 鹏,林志国等. 基于链路保持时间的认知移动自组网拓扑算法. 系统工程与电子技术,2014,36(4):746-751.(Lin J F,Bai P,Lin Z G,et al. Topology algorithm based on link expiration time for cognitive mobile ad hoc. Systems Engineering and Electronics,2014,36(4):746-751.) [11] 王建新,朱贤曼,罗玉宏等. 移动自组网中任意时刻链路可用性计算方法. 电路与系统学报,2009,14(1):1-7.(Wang J X,Zhu X M,Luo Y H,et al. Link availability for any time in mobile ad hoc networks. Journal of Circuits and Systems,2009,14(1):1-7.) [12] Zhao J,Cao G H. Robust topology control in multi-hop cognitive radio networks. IEEE Transactions on Mobile Computing,2012,13(11):2634-2647. [13] Zhang Q X,He Q,Zhang P. Topology reconfiguration in cognitive radio networks using ant colony optimization ∥ Vehicular Technology Conference. Quebec City,Canada:IEEE,2012:1-5. [14] Sheng M,Li X,Wang X J,et al. Topology control with successive interference cancellation in cognitive radio networks. IEEE Transactions on Communications,2017,65(1):37-48. [15] Mahonen P,Petrova M,Riihijarvi J. Applications of topology information for cognitive radios and networks ∥ 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Dublin,Republic of Ireland:IEEE,2007:103-114. [16] Sun L,Wang W Y. Understanding topology dynamics in large-scale cognitive radio networks under generic failures ∥ 2013 IEEE Global Communications Conference. Atlanta,GA,USA:IEEE,2013:1161-1166. [17] Camp T,Boleng J,Davies V. A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing,2002,2:483-502.
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!