• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Cognitive Communications and Networking >Performance Analysis of Wireless Energy Harvesting Cognitive Radio Networks Under Smart Jamming Attacks
【24h】

Performance Analysis of Wireless Energy Harvesting Cognitive Radio Networks Under Smart Jamming Attacks

机译：智能干扰攻击下无线能量收集认知无线电网络的性能分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In cognitive radio networks with wireless energy harvesting, secondary users are able to harvest energy from a wireless power source and then use the harvested energy to transmit data opportunistically on an idle channel allocated to primary users. Such networks have become more common due to pervasiveness of wireless charging, improving the performance of the secondary users. However, in such networks, the secondary users can be vulnerable to jamming attacks by malicious users who can also harvest wireless energy to launch the attacks. In this paper, we first formulate the throughput optimization problem for a secondary user under the attacks by jammers as a Markov decision process (MDP). We then introduce a new solution based on the deception tactic to deal with smart jamming attacks. Furthermore, we propose a learning algorithm for the secondary user to find an optimal transmission policy and extend to the case with multiple secondary users in the same environment. Through the simulations, we demonstrate that the proposed learning algorithms can effectively reduce adverse effects from smart jammers even when they use different attack strategies.
机译：在具有无线能量收集的认知无线电网络中，辅助用户能够从无线电源收集能量，然后使用收集的能量在分配给主要用户的空闲信道上机会性地传输数据。由于无线充电的普遍性，这样的网络变得更加普遍，从而改善了次级用户的性能。但是，在这种网络中，次要用户可能容易受到恶意用户的干扰攻击，这些恶意用户还可以收集无线能量来发起攻击。在本文中，我们首先将受干扰者攻击的二级用户的吞吐量优化问题公式化为马尔可夫决策过程（MDP）。然后，我们引入一种基于欺骗策略的新解决方案来应对智能干扰攻击。此外，我们提出了一种学习算法，供次要用户找到最佳传输策略，并扩展到同一环境中多个次要用户的情况。通过仿真，我们证明了所提出的学习算法可以有效地减少智能干扰器的不利影响，即使它们使用不同的攻击策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号