Abstract
We investigate the resource allocation problem of a cell-free massive multiple-input multiple-output system under the condition of colluding eavesdropping by multiple passive eavesdroppers. To address the problem of limited pilot resources, a scheme is proposed to allocate the pilot with the minimum pollution to users based on access point selection and optimize the pilot transmission power to improve the accuracy of channel estimation. Aiming at the secure transmission problem under a colluding eavesdropping environment by multiple passive eavesdroppers, based on the local partial zero-forcing precoding scheme, a transmission power optimization scheme is formulated to maximize the system’s minimum security spectral efficiency. Simulation results show that the proposed scheme can effectively reduce channel estimation error and improve system security.
摘要
本文研究在多个被动窃听者协作窃听的情况下, 去蜂窝大规模多输入多输出系统的资源分配问题。为解决导频资源受限的问题, 提出在接入点选择的基础上将污染最小的导频分配给用户的方案并优化导频发射功率以提高信道估计精度。针对多个被动窃听者在串通窃听环境下的安全传输问题, 基于局部部分迫零预编码方案, 提出一种传输功率优化方案, 以最大限度地提高系统的最小安全频谱效率。仿真结果表明, 该方案能够有效降低信道估计误差, 提高系统安全性。
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Data availability
The data that support the findings of this study are available from the authors upon reasonable request.
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Na LI designed the research and processed the data. Yuanyuan GAO drafted the paper. Kui XU and Xiaochen XIA helped organize the paper. Huazhi HU, Yang LI, and Yueyue ZHANG revised and finalized the paper.
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Project supported by the National Natural Science Foundation of China (Nos. 62071485, 61671472, and 62271503) and the Natural Science Foundation of Jiangsu Province, China (Nos. 20201334 and 20181335)
List of supplementary materials
1 Derivation of Eq. (21)
2 Derivation of Eq. (24)
3 Derivation of inequality (37)
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Li, N., Gao, Y., Xu, K. et al. Secure resource allocation against colluding eavesdropping in a user-centric cell-free massive multiple-input multiple-output system. Front Inform Technol Electron Eng 25, 500–512 (2024). https://doi.org/10.1631/FITEE.2200599
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DOI: https://doi.org/10.1631/FITEE.2200599