Cooperative sensing method considering malicious nodes in cognitive radio networks

Xiao-gang QI; Sheng-yu ZHENG; Li-fang LIU; Hui-fang WANG

doi:10.11959/j.issn.1000-436x.2015119

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Cooperative sensing method considering malicious nodes in cognitive radio networks

Academic paper | 更新时间：2024-06-05

- Cooperative sensing method considering malicious nodes in cognitive radio networks
- Journal on Communications Vol. 36, Issue 6, Pages: 22-30(2015)
- 作者机构：
  
  1. 西安电子科技大学数学与统计学院，陕西西安 710071
  2. 西安电子科技大学计算机学院，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(71271165);The National Natural Science Foundation of China(61373174);The Key Natural Science Foundation of Shaanxi Province(2015JZ002);The Key Natural Science Foundation of Shaanxi Province(2015JM6311);The Central University Basic Scientific Research Funding(JB140712)
- DOI：10.11959/j.issn.1000-436x.2015119
  CLC： TN98
- Online First：2015-06，
  
  Published：25 June 2015
- 稿件说明：
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Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, et al. Cooperative sensing method considering malicious nodes in cognitive radio networks[J]. Journal on Communications, 2015, 36(6): 22-30.
DOI：

Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, et al. Cooperative sensing method considering malicious nodes in cognitive radio networks[J]. Journal on Communications, 2015, 36(6): 22-30. DOI： 10.11959/j.issn.1000-436x.2015119.

摘要

基于带有恶意节点的更为实际的频谱感知环境，研究了基于合作感知的频谱共享网络模型，次级用户将会根据合作感知结果动态地调整其发射功率。为了防止恶意节点对感知系统的感知性能造成严重影响，研究了如何进行合作感知以提高感知性能。在一定的检测概率和相关功率约束下，建立了一个以最大化次级网络的吞吐量为目标函数的优化问题。仿真实验首先突出说明了恶意节点数目对频谱感知影响重大，同时还表明无论是否存在恶意节点，提出的算法均可有效地计算出最优的感知时间和发射功率，且在降低最大干扰功率限制和最大发射功率限制时，网络的吞吐量是增大的。

Abstract

Based on a more practical cognitive radio network with malicious users

the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes

it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem

the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes

the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers

and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.

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Keywords

references

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