In the landscape of next-generation cellular networks, a projected surge of over 12 billion subscriptions foreshadows a considerable upswing in the network's overall energy consumption. The proliferation of User Equipment (UE) drives this energy demand, urging 5G deployments to seek more energy-efficient methodologies. In this work, we propose SmartMME, as a pivotal solution aimed at optimizing Base Station (BS) energy usage. By harnessing and analyzing critical network states-such as UE connections, data traffic at individual UEs, and other pertinent metrics-our methodology intelligently orchestrates the BS's power states, making informed decisions on when to activate or deactivate the BS. This meticulous approach significantly curtails the network's overall energy consumption. In a bid to validate its efficiency, we seamlessly integrated our module into Network Simulator-3 (ns-3), conducting extensive testing to demonstrate its prowess in effectively managing and reducing net energy consumption. As advocates of collaborative progress, we've opted to open-source this module, inviting the engagement and feedback of the wider research community on GitHub.

翻译：在下一代蜂窝网络的发展图景中，预计超过120亿的订阅量预示着网络整体能耗将大幅攀升。用户设备（UE）的激增驱动了能源需求，促使5G部署寻求更节能的方法。本文提出SmartMME，作为优化基站（BS）能耗的关键解决方案。通过采集并分析关键网络状态——如UE连接数、单个UE的数据流量及其他相关指标——我们的方法能智能协调基站的电源状态，从而对基站的激活与关断时机做出明智决策。这种精细化的方法显著降低了网络的整体能耗。为验证其效能，我们将该模块无缝集成至网络模拟器-3（ns-3）中，并进行了广泛测试，以证明其在有效管理与降低净能耗方面的优势。本着推动协作进步的宗旨，我们决定将此模块开源，邀请广大研究社群通过GitHub参与并提供反馈。