期刊文献+

基于用户分簇的物理层增强安全多播算法 被引量:2

Physical Layer Enhanced Secure Multicast Algorithm Based on User Clustering
下载PDF
导出
摘要 物理层安全技术是无线网络技术中一项重要的关键技术。在大量多播用户和窃听用户共存的场景中,针对传统物理层安全技术中在波束赋形下增加人工噪声时不能很好地应用于多播传输的问题,提出了一种基于多播用户分簇策略下的物理层增强安全多播算法。首先,具有相近信道矢量的多播用户被分为同一个多播簇,不同的多播簇分配不同的子载波传输多播数据;其次,基于多播用户分簇策略的结果,提出了通过采用联合功率分配和波束赋形设计算法,最大化整个多播系统的安全多播速率;最后,为了降低算法的计算复杂度,提出了新的搜索算法处理联合功率分配和波束赋形设计算法。仿真结果显示:与传统安全多播算法相比,基于多播用户分簇策略的物理层增强安全多播算法不但能够获得更高的多播安全传输速率,而且其计算复杂度也大大低于采用遍历搜索的传统安全多播算法。 Physical-layer security has become a critical technique in current wireless networks.The existing conventional physical layer security techniques,e.g, artificial-noise-aided transmit beamforming,do not apply well to multicast transmission from large multicast user and eavesdrop- per user numbers.To address this problem,an enhanced secure multicast algorithm based on user clustering scheme was proposed.Firstly,the mul- ticast users with close channel vectors were divided into a cluster and different clusters were served on different channels.Secondly,a heuristic joint power allocation and beamforming design algorithm based on this user clustering scheme were proposed to maximize the globally achiev- able secure multicast rate.Finally,to reduce the overall computation complexity,the new searching method was put forward to solve power alloca- tion and beamforming design jointly.Simulation results showed that the enhanced secure multicast algorithm can support a much higher secure transmission rate than conventional secure multicast (CSM) schemes,and the proposed joint power allocation and beamforming design algorithm outperform existing CSM schemes with the ergodic searching method greatly in terms of computation complexity.
作者 陈雷
出处 《工程科学与技术》 EI CAS CSCD 北大核心 2017年第6期135-141,共7页 Advanced Engineering Sciences
基金 辽宁省博士启动金资助项目(201601083) 辽宁省教育科学"十三五"规划2017年度项目资助(JG17DB537) 中国刑事警察学院院级项目资助 国家自然科学基金资助项目(61172058)
关键词 物理层安全 多播 波束赋形 人工噪声 physical-layer security multicast beamforming artificial noise
  • 相关文献

参考文献2

二级参考文献13

  • 1Correia A, Silva J, and Souto N. Multi-resolution broadcast/multicast systems for MBMS[J]. IEEE Transactions on Broadcasting, 2007, 53(1): 224-234.
  • 2Richard A O, Dadlani A, and Kim K. Multicast schedulingand resource allocation algorithms for OFDMA-Based systems: a survey[J]. IEEE Communications Surveys and Tutorials, 2013, 15(1): 240-254.
  • 3Yu Y J, Hsiu P C, and Pang A C. Energy-efficient video multicast in 4G wireless systems[J]. IEEE Transactions on Mobile Computing, 2012, 11(10): 1508-1522.
  • 4Shannon C E. Communication theory of secrecy systems[J]. The Bell System Technical Journal, 1949, 28(4): 656-715.
  • 5Shannon C E. A Mathematical Theory of Communication[M]. Illinois: University of Illinois Press, 1949: 25-45.
  • 6Goel S and Negi R. Guaranteeing secrecy using artificial noise[J]. IEEE Transactions on Wireless Communications, 2008, 7(6): 2180-2189.
  • 7Li X H and Hwu J. Using antenna array redundancy and channel diversity for secure wireless transmissions[J]. Journal of Communications, 2007, 2(3): 24-32.
  • 8Luo W Y, Jin L, and Li Y. A subcarrier-reference scheme for multiuser MISO-OFDMA system with low probability of interception[J]. IEICE Transactions on Communications, 2011, E94-B(10): 2872-2876.
  • 9Li Q and Ma W. Multicast secrecy rate maximization forMISO channels with multiple multi-antenna eavesdroppers [C]. IEEE International Conference on Communications, Kyoto, 2011: 1-5.
  • 10Xu J, Lee S J, and Kang W S. Adaptive resource allocation for MIMO-OFDM based wireless multicast systems[J]. IEEE Transactions on Broadcasting, 2010, 56(1): 98 102.

共引文献9

同被引文献3

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部