AI 中文总结
本文提出分组能源管理框架，将6G电信基础设施转化为能源感知型电网互动资产，经仿真验证可提升可再生能源利用率与服务连续性，同时探讨电信-能源协同设计的开放挑战。
AI 中文摘要
向净零6G过渡需要超越传统无线接入网（RAN）效率机制的能源管理方法。未来网络将整合原生AI运营、边缘智能、密集部署、可再生能源与储能系统，RAN将成为日益增长的电力消费者，同时也是分布式能源灵活性的来源。本文提出分组能源管理（PEM）框架，将6G基础设施转变为能源感知型、电网互动资产。PEM将灵活需求表示为可调度能源分组，可根据本地约束、可再生能源可用性、碳强度、价格及通信优先级进行接纳、延迟或调整。本文提出支持PEM的基站模型、用于PEM集成的RAN架构，以及聚合支持PEM站点的电信虚拟电厂（VPP）概念。仿真结果显示，PEM在峰值感知运营、提升可再生能源利用率、增强抗中断服务连续性方面具有潜力。本文还探讨了电信-能源协同设计的开放挑战。
英文摘要
The transition to net-zero 6G requires energy-management approaches that go beyond conventional RAN efficiency mechanisms. As future networks integrate AI-native operation, edge intelligence, dense deployments, renewables, and storage, the RAN will become both a growing power consumer and a source of distributed energy flexibility. This paper introduces packetized energy management (PEM) as a framework for transforming 6G infrastructure into energy-aware, grid-interactive assets. PEM represents flexible demand as schedulable energy packets that can be admitted, deferred, or reshaped according to local constraints, renewable availability, carbon intensity, price, and communication priorities. We present a PEM-enabled base-station model, a RAN architecture for PEM integration, and the telecoms virtual power plant (VPP) concept for aggregating PEM-enabled sites. Simulation results demonstrate PEM's potential for peak-aware operation, improved renewable utilization, and outage-resilient service continuity. The paper also discusses open challenges for telco-energy co-design.
CommentsTo appear in IEEE Conference on Standards for Communications and Networking (CSCN) 2026
