论文标题

一个两阶段的游戏框架,以确保两层无人机网络中的传输

A Two-stage Game Framework to Secure Transmission in Two-Tier UAV Networks

论文作者

Xu, Mengnian, Chen, Yanjiao, Wang, Wei

论文摘要

多-UAV网络有望通过提供更广泛的覆盖范围和更好的可靠性来扩展常规网络。然而,无线信号和更广泛的覆盖范围的广播性质暴露于被动窃听器的威胁。最近的研究主要集中于确保一个/两个UAV辅助网络中无人机与多个地面用户之间的沟通,而对层次多uav网络的物理层保密分析则未得到解动。在本文中,我们研究了一个一般的两层无人机网络,该网络由多个无人机发射机(UTS)和多个无人机接收器(URS)组成,并在存在多个无人机窃听器(UES)的情况下。为了保护所有合法的UT-UR链接在物理层的UES上,我们设计了一个两阶段的框架,该框架由UT-UR关联阶段和合作传输阶段组成。具体来说,我们将安全的传输问题提出为一对一的匹配游戏,然后考虑到有限的功能和URS的吞吐量以及UTS的传输功率约束,然后考虑了重叠的联盟组合(OCF)游戏。提出了一种匹配的算法和OCF算法来解决这两个顺序游戏,其融合和稳定性在理论上可以保证。模拟结果表明,按照保密性能,我们的算法的优越性以及我们两阶段游戏框架的有效性。

The multi-UAV network is promising to extend conventional networks by providing broader coverage and better reliability. Nevertheless, the broadcast nature of wireless signals and the broader coverage expose multi-UAV communications to the threats of passive eavesdroppers. Recent studies mainly focus on securing a single legitimate link, or communications between a UAV and multiple ground users in one/two-UAV-aided networks, while the physical layer secrecy analysis for hierarchical multi-UAV networks is underexplored. In this paper, we investigate a general two-tier UAV network consisting of multiple UAV transmitters (UTs) and multiple UAV receivers (URs) in the presence of multiple UAV eavesdroppers (UEs). To protect all legitimate UT-UR links against UEs at the physical layer, we design a two-stage framework consisting of a UT-UR association stage and a cooperative transmission stage. Specifically, we formulate the secure transmission problem into a many-to-one matching game followed by an overlapping coalition formation (OCF) game, taking into account the limited capabilities and the throughput requirements of URs, as well as the transmission power constraints of UTs. A matching algorithm and an OCF algorithm are proposed to solve these two sequential games whose convergences and stabilities are guaranteed theoretically. Simulation results show the superiority of our algorithms and the effectiveness of our two-stage game framework in the terms of secrecy performance.

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