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Secure probabilistic caching in random multi-user multi-UAV relay networks

机译：随机多用户多UAV中继网络中的安全概率缓存

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In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. (C) 2018 Elsevier B.V. All rights reserved.
机译：在本文中，我们研究了随机多用户多UAV中继网络的系统模型，其中可以通过多个窃听者窃听传输。我们考虑用户，UAV中继和窃听者到达网络的随机网络，该网络受均质泊松点过程（PPP）的约束。无人机配备了高速缓存，可以预存储部分内容，这有助于减少信息泄漏。因此，设计有效的安全概率缓存策略以在窃听者的存在下通过结合缓存策略和物理层安全性来确保内容传输的安全性至关重要。为此，我们首先考虑四种传输方案来设计用户和UAV中继的缓存位置。然后，我们通过分析安全缓存吞吐量的表示来分析缓存位置的安全性能。为了最大化安全缓存的吞吐量，我们通过使用启发式算法进一步优化了概率缓存策略。数值结果和讨论表明，所提出的概率缓存策略优于常规的最流行内容（MPC）和等概率内容（EPC）缓存策略，并且可以通过增加缓存大小和强度来提高系统安全性能。无人机中继器和用户。 （C）2018 Elsevier B.V.保留所有权利。

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