从频谱规制到计算执行：自适应频谱共享的可审计治理架构
From Spectrum Regulation to Computational Enforcement: An Auditable Governance Architecture for Adaptive Spectrum Sharing
- Saveetha Institute of Medical and Technical Sciences（Saveetha医学与技术科学研究所）
- SRM Institute of Science and Technology（SRM科学与技术学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
提出SPECTRA-GOV三层自适应频谱治理架构，将频谱规则转化为可审计的计算执行，通过选择性授权在实验中实现100%现有用户保护，兼顾监管与效率。
AI中文摘要：
频谱治理需要将规则转化为机器可执行的决策，同时保持对现有用户的保护、监管权威以及决策原因的可审计记录。我们提出了SPECTRA-GOV，一种三层自适应治理架构（TLAGA），连接国际条约协调、国家自适应许可和实时执行。该工作建立在保留在v0.1.0-paper的原始参考实现之上，并增加了事后审计评估层而非替换它。V2引入了受控频谱竞争场景、修正的大地距离计算、按运营商的选择性授权、配对基线反事实、策略扰动、监管变化分析和因果溯源。在七个竞争类别中各10000个场景中，无竞争对照组的现有用户保护率为100.00%，弱到动态类别为99.92%-99.87%，强重叠下为99.47%，对抗性近距离类别为90.00%。在配对的S3基线实验中，选择性授权实现了100%的现有用户保护率和89.43%的接入机会，而全人口动态基线实现了99.91%的保护率和99.53%的接入。动态SAS和SPECTRA-GOV选择性变体的相同结果意味着选择性准入本身不被声称是排他性的算法新颖性。贡献在于策略表示、计算执行、可审计性和溯源的集成。执行时间在进程内测量，平均延迟从单个运营商的0.028毫秒增加到500个运营商的1.682毫秒；这些是软件基准，而非现场测量。结果建立了一个可复现的计算治理原型，并指出了在做出运营或监管声明之前仍需解决的问题。
英文摘要：
Spectrum governance requires rules to be translated into machine-executable decisions while preserving incumbent protection, regulatory authority, and an auditable record of why a decision was made. We present SPECTRA-GOV, a Tri-Layer Adaptive Governance Architecture (TLAGA) connecting international treaty coordination, national adaptive licensing, and real-time enforcement. The work builds on the original reference implementation preserved at v0.1.0-paper and adds a post-audit evaluation layer rather than replacing it. V2 introduces controlled spectral-contention scenarios, corrected geodesic-distance calculation, per-operator selective authorization, paired baseline counterfactuals, policy perturbation, regulatory-change analysis, and causal provenance. Across 10,000 scenarios in each of seven contention classes, incumbent protection was 100.00% in the no-contention control, 99.92-99.87% in weak-to-dynamic classes, 99.47% under strong overlap, and 90.00% in the adversarial close-proximity class. In a paired S3 baseline experiment, selective authorization achieved 100% incumbent protection and 89.43% access opportunity, while the population-wide dynamic baseline achieved 99.91% protection and 99.53% access. Identical results for the dynamic-SAS and SPECTRA-GOV selective variants mean selective admission alone is not claimed as an exclusive algorithmic novelty. The contribution is the integration of policy representation, computational enforcement, auditability, provenance. Enforcement timing was measured in-process, with mean latency increasing from 0.028 ms for one operator to 1.682 ms for 500 operators; these are software benchmarks, not field measurements. The results establish a reproducible computational governance prototype and identify remaining questions before operational or regulatory claims can be made.
