Resilience and power consumption are two important performance metrics for many modern communication systems, and it is therefore important to define, analyze, and optimize them. In this work, we consider a wireless communication system with secret-key generation, in which the secret-key bits are added to and used from a pool of available key bits. We propose novel physical layer resilience metrics for the survivability of such systems. In addition, we propose multiple power allocation schemes and analyze their trade-off between resilience and power consumption. In particular, we investigate and compare constant power allocation, an adaptive analytical algorithm, and a reinforcement learning-based solution. It is shown how the transmit power can be minimized such that a specified resilience is guaranteed. These results can be used directly by designers of such systems to optimize the system parameters for the desired performance in terms of reliability, security, and resilience.

翻译：弹性和功耗是现代通信系统的两个重要性能指标，因此对其进行定义、分析和优化至关重要。本研究考虑一种具备密钥生成功能的无线通信系统，其中密钥比特被添加至可用密钥池并从池中调用使用。我们为此类系统的生存能力提出了新颖的物理层弹性度量指标。此外，我们提出了多种功率分配方案，并分析了它们在弹性与功耗之间的权衡关系。具体而言，我们研究并比较了恒定功率分配方案、自适应解析算法以及基于强化学习的解决方案。研究展示了如何在保证特定弹性的前提下最小化发射功率。这些结果可直接供系统设计者使用，以优化系统参数，从而在可靠性、安全性和弹性方面实现预期性能。