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arXiv 2107.09896cs.ITcs.CEcs.NIeess.SPmath.IT
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太赫兹满足不可信的无人机中继:通过轨迹和通信协同设计实现最小秘密能量效率最大化

Terahertz Meets Untrusted UAV-Relaying: Minimum Secrecy Energy Efficiency Maximization via Trajectory and Communication Co-design

Milad Tatar Mamaghani, Yi Hong

摘要:

无人机(UAV)和太赫兹(THz)技术被设想在下一代无线通信中发挥至关重要的作用。在本文中,我们提出了一种新的安全的无人机辅助移动中继系统工作在太赫兹频段的数据采集从多个地面用户设备(UE)对目的地。我们假设,无人机安装的中继可能会采取行动,除了提供中继服务,作为一个潜在的窃听者称为不可信的无人机中继(UUR)。为了保障端到端通信的安全,我们提出了一种安全的两阶段传输策略与合作干扰。然后,我们设计了一个优化框架方面的一个新的措施$-$保密能源效率(SEE),定义为可实现的平均保密率的平均系统功耗的比率,这使我们能够获得尽可能最好的安全级别,同时考虑到UUR的固有的飞行功率限制。为了所有UE之间的服务质量公平性,我们的目标是最大限度地提高最小SEE(MSEE)的性能,通过联合设计的关键系统参数,包括UUR的轨迹和速度,通信调度,和网络功率分配。由于制定的问题是一个混合整数非凸优化和计算上难以处理的,我们将其解耦成四个子问题,并提出替代算法来解决它有效地通过贪婪/顺序块连续凸逼近和非线性分式规划技术。数值结果表明,显着的MSEE性能改善我们的设计相比,其他已知的基准。

英文摘要:

Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are envisioned to play paramount roles in next-generation wireless communications. In this paper, we present a novel secure UAV-assisted mobile relaying system operating at THz bands for data acquisition from multiple ground user equipments (UEs) towards a destination. We assume that the UAV-mounted relay may act, besides providing relaying services, as a potential eavesdropper called the untrusted UAV-relay (UUR). To safeguard end-to-end communications, we present a secure two-phase transmission strategy with cooperative jamming. Then, we devise an optimization framework in terms of a new measure $-$ secrecy energy efficiency (SEE), defined as the ratio of achievable average secrecy rate to average system power consumption, which enables us to obtain the best possible security level while taking UUR's inherent flight power limitation into account. For the sake of quality of service fairness amongst all the UEs, we aim to maximize the minimum SEE (MSEE) performance via the joint design of key system parameters, including UUR's trajectory and velocity, communication scheduling, and network power allocation. Since the formulated problem is a mixed-integer nonconvex optimization and computationally intractable, we decouple it into four subproblems and propose alternative algorithms to solve it efficiently via greedy/sequential block successive convex approximation and non-linear fractional programming techniques. Numerical results demonstrate significant MSEE performance improvement of our designs compared to other known benchmarks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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