AI 中文总结
该研究针对短分组无线链路的中断问题，提出预测触发机制与AoI控制的韧性更新，联合优化发射功率和更新概率，实现了更早期可靠的阈值决策且能耗与基线相当。
AI 中文摘要
远程阈值决策不仅需要准确的状态估计，还要求后验信息能支持可靠的告警/非告警决策，且尽可能提前预判关键决策。本文研究存在中断风险的短分组无线链路上的该问题，推导了误报/漏报可行性条件，定义了估计的决策可行区域并生成预测决策更新触发机制；为保护预测更新免受中断，加入了AoI控制的韧性更新，该更新既能检测中断又能保持信息新鲜度。与阈值处理过程的一步切换统计匹配的两状态马尔可夫代理模型，支持可处理的长期可靠性-能量分析，随后联合优化了发射功率和AoI控制的韧性更新概率。仿真结果显示，与基线方法相比，该机制能在相当能耗下实现更早、更可靠的决策。
英文摘要
Remote threshold decisions require more than accurate state estimates: the posterior must support reliable alarm/no-alarm decisions and, when possible, anticipate early critical decisions. We study this problem over short-packet wireless links with outage risk. We derive false-positive/false-negative feasibility conditions that define a decision-feasible region of the estimation and yield a predictive decision-update trigger. To protect predictive updates from outages, we add AoI-controlled resilience updates that both detect disruptions and maintain freshness. A two-state Markov surrogate of the thresholded process, matched to its one-step switching statistics, enables tractable long-term reliability-energy analysis. Then, we jointly optimized transmit power and AoI-controlled resilience update probabilities. Simulations show earlier, reliable decisions at competitive energy with baselines.
