提出下一代无线网络韧性框架，应对突发中断与系统崩溃。
Resilient-native and Intelligent NextG Systems
- 区分韧性、鲁棒性与可靠性，定义韧性为弹性与塑性的结合
- 构建数学模型支持实时适应与重配置，实现系统快速恢复
- 适合研究通信网络韧性、智能系统设计的学者与工程师
与电力、供水和交通系统一样，无线网络是关键的社会基础设施。随着自然和人为干扰持续增加，无线网络必须具备应对未预见事件的能力，能够抵御并从意外恶劣条件、未建模扰动和级联故障中恢复。尽管至关重要，韧性仍是一个模糊概念，其数学基础尚未成熟。不同于鲁棒性和可靠性，韧性基于破坏必然发生的前提。韧性在弹性层面关注系统恢复到有利状态的能力；在塑性层面则涉及网络或代理通过实时适应与重构，灵活扩展状态、假设和行动方案。持续的情境感知与对潜在故障及最优应对策略的反事实推理，是韧性核心。本文首先界定韧性，并厘清其与可靠性和鲁棒性的差异，随后深入探讨韧性的数学基础，最后提出针对网络韧性特性的精细度量指标并讨论权衡关系。
原文摘要 · Abstract (English)
Just like power, water and transportation systems, wireless networks are a crucial societal infrastructure. As natural and human-induced disruptions continue to grow, wireless networks must be resilient to unforeseen events, able to withstand and recover from unexpected adverse conditions, shocks, unmodeled disturbances and cascading failures. Despite its critical importance, resilience remains an elusive concept, with its mathematical foundations still underdeveloped. Unlike robustness and reliability, resilience is premised on the fact that disruptions will inevitably happen. Resilience, in terms of elasticity, focuses on the ability to bounce back to favorable states, while resilience as plasticity involves agents (or networks) that can flexibly expand their states, hypotheses and course of actions, by transforming through real-time adaptation and reconfiguration. This constant situational awareness and vigilance of adapting world models and counterfactually reasoning about potential system failures and the corresponding best responses, is a core aspect of resilience. This article seeks to first define resilience and disambiguate it from reliability and robustness, before delving into the mathematics of resilience. Finally, the article concludes by presenting nuanced metrics and discussing trade-offs tailored to the unique characteristics of network resilience.
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