Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
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Regular Papers|Updated:2024-04-29
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Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system
以用户为中心的去蜂窝大规模多输入多输出系统中抗协作窃听的安全资源分配
“2023年9月29日,Na Li、Yuanyuan Gao团队在《Frontiers of Information Technology & Electronic Engineering》发表研究论文,深入探讨了无蜂窝大规模多输入多输出(MIMO)系统在多个被动窃听者联合窃听条件下的资源分配问题。针对有限的导频资源,该团队提出了一种基于接入点(AP)选择的导频分配方案,优化了导频传输功率,以提高信道估计的准确性。同时,为了应对多个被动窃听者联合窃听环境下的安全传输问题,团队结合局部部分迫零预编码方案,制定了传输功率优化策略,旨在最大化系统的最小安全频谱效率。仿真结果显示,该方案能有效降低信道估计误差,提升系统安全性。这一研究成果为无蜂窝MIMO系统的资源分配和安全传输提供了新的解决方案,为该领域的研究发展开辟了新方向。”
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Frontiers of Information Technology & Electronic EngineeringVol. 25, Issue 4, Pages: 500-512(2024)
Affiliations:
College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China
Na LI, Yuanyuan GAO, Kui XU, et al. Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system. [J]. Frontiers of Information Technology & Electronic Engineering 25(4):500-512(2024)
DOI:
Na LI, Yuanyuan GAO, Kui XU, et al. Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system. [J]. Frontiers of Information Technology & Electronic Engineering 25(4):500-512(2024) DOI: 10.1631/FITEE.2200599.
Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system