Realistic Secrecy Performance Analysis for LiFi Systems
Realistic Secrecy Performance Analysis for LiFi Systems
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DOI：
10.1109/access.2021.3108727
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Hanaa Abumarshoud;Mohammad Dehghani Soltani;M. Safari;H. Haas
中科院分区：
文献类型：
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作者：
Hanaa Abumarshoud;Mohammad Dehghani Soltani;M. Safari;H. Haas
研究了在窃听者信道状态信息部分已知的情况下，设备随机定向的光保真网络的保密性能。特别地，分析了单个窃听者和多个窃听者情况下的保密容量和保密中断概率。此外，基于机器学习的接入点（AP）选择算法的目标是最大限度地提高合法用户的保密能力。我们的研究结果表明，优化AP的选择，同时考虑到光信道的随机行为的结果在可实现的保密性能显着增强。事实上，使用派生的现实的保密表达式作为AP选择的基础，结果在高达30%的保密能力增强相比，有限的假设固定的方向。
This paper studies the secrecy performance of light-fidelity (LiFi) networks under the consideration of random device orientation and partial knowledge of the eavesdroppers’ channel state information. Particularly, the secrecy capacity and secrecy outage probability are analysed for the case of a single eavesdropper as well as for the case of multiple eavesdroppers. Moreover, a machine learning based access point (AP) selection algorithm is presented with the objective of maximising the secrecy capacity of legitimate users. Our results show that optimising the AP selection while taking into account the random behaviour of the optical channel results in a significant enhancement in the achievable secrecy performance. In fact, using the derived realistic secrecy expressions as the basis for AP selection results in up to 30% secrecy capacity enhancement compared to the limited assumption of fixed orientation.