作为无线系统中用户设备网络控制环的预测流量整形
Predictive Traffic Shaping as a UE Network Control Loop in Wireless Systems
中文总结 AI 辅助
该研究针对无线系统，提出一种UE侧的预测流量整形控制环，通过超前窗口释放需求、结合预测置信度等，在仿真中扩大稳定可行区域，原型PRISM实现了该本地控制策略。
中文摘要 AI 辅助
无线系统通常对当前信道状况、队列状态和策略做出反应，但服务状况往往可提前数秒预测。本文研究预测流量整形，这是一种较慢的用户设备（UE）控制环，当灵活需求到达无线接入网（RAN）时进行调整。UE估计有用的事件前需求，并在超前窗口内释放该需求。协作部署还可向网络发送紧凑的未来风险描述符，该触发器使用预测置信度。预测服务仅限于可用盈余，而债务账户在临时事件前偏好后保持长期公平。带宽-时间模型捕捉效率提升和负载平滑，同时也考虑预测浪费和共享资源成本。在风格化的共享小区仿真中， paced需求释放显著扩大了稳定可行区域，安全服务上限和接纳控制在更长窗口下进一步提升性能。应用拥有的中间件原型PRISM使用普通移动传输机制实现本地控制策略。
英文摘要
Wireless systems usually react to current channel conditions, queue state, and policy. Yet service conditions can often be anticipated seconds ahead. This paper studies predictive traffic shaping, a slower user-equipment (UE) control loop that changes when flexible demand reaches the radio access network (RAN). The UE estimates useful pre-event demand and releases it across a lookahead window. Cooperative deployments may also send a compact future-risk descriptor to the network. The trigger uses prediction confidence. Predictive service is confined to available surplus, while a debt account preserves long-term fairness after temporary pre-event preference. A bandwidth-time model captures efficiency gains and load smoothing. It also accounts for prediction waste and shared-resource cost. In a stylized shared- cell simulation, paced demand release substantially expands the stable-feasible region. A safe service cap and admission control provide further gains at longer windows. PRISM, an application-owned middleware prototype, implements the local control policy using ordinary mobile transfer mechanisms.
