{"id":10630,"date":"2025-03-18T17:06:01","date_gmt":"2025-03-18T17:06:01","guid":{"rendered":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/?post_type=gsma_theme_resources&#038;p=10630"},"modified":"2025-09-19T10:46:04","modified_gmt":"2025-09-19T10:46:04","slug":"huawei-intelligent-energy-saving-with-ipowerstar-sichuan","status":"publish","type":"gsma_theme_resources","link":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/gsma_resources\/huawei-intelligent-energy-saving-with-ipowerstar-sichuan\/","title":{"rendered":"Huawei: Intelligent Energy-Saving with iPowerStar @Sichuan"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">With the gradual increase in operator services, network operators are expanding, leading to more complex structures and increased site energy consumption. Consequently, energy saving has become a key focus for operators. In typical service scenarios, site energy consumption fluctuates with traffic volume. However, current energy-saving measures remain static, failing to adapt to these fluctuations, especially during peak hours. This has left operators without effective energy-saving methods in such conditions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Solution:<\/strong><br>In 2024, China Mobile conducted large-scale pilots in six typical scenarios across Chengdu, Sichuan province. They implemented four innovative solutions\u2014ultimate in depth, ultimate in speed, ultimate in intelligence, and ultimate in efficiency. These solutions involved the deployment of new energy-saving technologies such as ultimate dormancy, iSDU intelligent circuit breaker, millisecond-level channel shutdown, subsecond-level carrier shutdown, and intelligent board-based energy-saving feature enhancements. These measures significantly helped base stations reduce power consumption while maintaining uncompromised network KPIs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Impact:<\/strong><br>The six scenarios in Chengdu included Sichuan University, Huaxi Hospital, Taiguli, Chongzhou High-Speed Railway Station, and Dayi County, covering locations such as shopping malls, supermarkets, high-speed railways, hospitals, stadiums, and suburban areas. A total of 622 NR+LTE base stations were deployed on the live network. Without compromising KPIs, an average of 18.68% energy saving gains was achieved across all six scenarios.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Topics:<\/strong>\u00a0Sustainability and network optimisation<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Cost:<\/strong>&nbsp;Low<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Location:<\/strong>&nbsp;Greater China<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>MNO:<\/strong>&nbsp;China Mobile (Sichuan)<\/p>\n\n\n\n            <div class=\"orgs\" id=\"orgs-ff261bed\"  data-ids=\"3743\" data-display=\"\" data-show-names=\"false\"><\/div>\n        \n<script>\n    window.addEventListener(\"load\", function(){\n      const orgs_list = new Orgs_List();\n      orgs_list.init(\"orgs-ff261bed\");\n    });\n<\/script>\n    \n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/ai-use-case-library\/\">Back to AI Use Case Library<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>With the gradual increase in operator services, network operators are expanding, leading to more complex structures and increased site energy consumption. Consequently, energy saving has become a key focus for operators. In typical service scenarios, site energy consumption fluctuates with traffic volume. However, current energy-saving measures remain static, failing to adapt to these fluctuations, especially [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":9158,"template":"","meta":{"image":"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/wp-content\/uploads\/2024\/11\/Foundry_AI_N_usecase_13_600x300.jpg","json":{"gsma_resources_type":"Other","gsma_resources_thumb":"[9158]","gsma_resources_file":"null","gsma_resources_multi":null,"gsma_resources_wgr":null,"gsma_resources_video":"","gsma_resources_image":"null","gsma_resources_url":"","gsma_resources_date":"","gsma_resources_button":""}},"tags":[],"resource_categories":[217,245,237,262,263,274,246,254,268,257,253],"algolia_discover_type":[207],"class_list":["post-10630","gsma_theme_resources","type-gsma_theme_resources","status-publish","has-post-thumbnail","hentry","resource_categories-ai-use-case","resource_categories-ai-use-case-company-name-china-mobile","resource_categories-ai-use-case-company-name","resource_categories-ai-use-case-cost","resource_categories-ai-use-case-cost-low","resource_categories-ai-use-case-region-greater-china","resource_categories-ai-use-case-company-name-huawei","resource_categories-ai-use-case-theme-network-optimisation","resource_categories-ai-use-case-region","resource_categories-ai-use-case-theme-sustainability","resource_categories-ai-use-case-theme","algolia_discover_type-case-study"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v24.4) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Huawei: Intelligent Energy-Saving with iPowerStar @Sichuan - GSMA Foundry<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gsma.com\/get-involved\/gsma-foundry\/gsma_resources\/huawei-intelligent-energy-saving-with-ipowerstar-sichuan\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Huawei: Intelligent Energy-Saving with iPowerStar @Sichuan\" \/>\n<meta property=\"og:description\" content=\"With the gradual increase in operator services, network operators are expanding, leading to more complex structures and increased site energy consumption. 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