GEERA算法在5G基站节能的研究和实践  

Research of GEERA algorithm in energy saving for base sation

作　　者：周承诚 杨明夷 ZHOU Cheng-cheng;YANG Ming-yi(Shanghai Posts&Telecommunications Designing Consulting Institute Co.,Ltd.,Shanghai 200092,China)

机构地区：[1]上海邮电设计咨询研究院有限公司,上海200092

出　　处：《电信工程技术与标准化》2025年第4期57-62,共6页Telecom Engineering Technics and Standardization

摘　　要：针对5G基站能耗较4G明显提高的问题,本文提出一种结合遗传算法和粒子群优化的绿色节能减排算法(GEERA),先利用遗传算法进行全局范围搜索,再以粒子群优化进行局部优化,实现基站有源天线单元的动态休眠控制。同时,引入了实时网络负载驱动的参数自适应调整机制。在实际部署的150个基站群组测试中,GEERA在满足服务质量要求的同时,能耗降低率达到15.4%,较单一算法提升约4%,碳排放减少22%,为5G和未来6G的网络节能提供了实用参考。To address the signifi cantly higher energy consumption of 5G base stations compared to 4G,a hybrid GEERA combining GA and PSO was proposed.GEERA fi rst uses GA for global search to identify potential solutions,followed by PSO for local refinement,dynamically controlling the active antenna unit sleep strategy.Additionally,an adaptive parameter adjustment mechanism responding to real-time network loads was integrated.Field trials involving 150 base stations showed that GEERA reduced energy consumption by 15.4%,outperforming single-method algorithms by approximately 4%,and decreased carbon emissions by 22%.The results highlight GEERA’s practical value for energy-effi cient management in 5G and future 6G networks.

关 键 词：5G基站节能 GEERA算法 遗传算法 粒子群优化 

分 类 号：TN929.5[电子电信—通信与信息系统]