可信无线系统中的韧性
Resilience in Trustworthy Wireless Systems
AI总结：
本文针对无线系统韧性概念零散的问题，从可信性视角提出系统化框架，定义韧性并区分相关术语，建立分层量化框架，结合典型场景演示实现方式，同时分析其工程权衡。
AI中文摘要：
韧性已成为未来在动态不确定环境中运行的无线系统的一项基本能力。尽管韧性已在学术界、工业界和标准化领域受到越来越多的关注，但其概念范围、实现机制和实现技术仍较为零散。本文从可信性视角提出了无线系统中韧性的系统化框架。我们首先对韧性的概念进行形式化定义，并将其与相关的感知不确定性术语（包括可靠性、鲁棒性、适应性、生存性和可恢复性）区分开。随后，我们建立了一个分层框架，将韧性组织为能力维度和实现机制，并通过不同技术方面对韧性进行量化。我们还以物理链路和无人机网络作为代表性无线场景，演示了如何通过架构、操作和算法的协同设计来系统地实现韧性。最后，我们研究了韧性工程中的基本权衡：提升韧性通常会导致资源效率、标称性能、信息获取、实现复杂度和延迟方面的成本增加。
英文摘要：
Resilience has emerged as a fundamental capability for future wireless systems operating in dynamic and uncertain environments. Although resilience has attracted growing attention across academia, industry, and standardization, its conceptual scope, enabling mechanisms, and realization techniques remain fragmented. This paper presents a systematic framework of resilience in wireless systems from a trustworthiness perspective. We first formalize the concept of resilience and distinguish it from related uncertainty-aware terminologies, including reliability, robustness, adaptability, survivability, and recoverability. We then establish a hierarchical framework that organizes resilience into capability dimensions and enabling mechanisms, and that quantifies resilience through different technical aspects. We further use physical links and unmanned aerial vehicle networks as representative wireless scenarios to demonstrate how resilience can be systematically realized through the joint design of architectures, operations, and algorithms. Finally, we examine the fundamental trade-offs in resilience engineering: Improving resilience generally incurs costs in resource efficiency, nominal performance, information acquisition, implementation complexity, and latency.
