{"id":26716,"date":"2026-10-28T13:37:40","date_gmt":"2026-10-28T12:37:40","guid":{"rendered":"https:\/\/telecomkh.info\/?p=26716"},"modified":"2026-10-28T13:37:40","modified_gmt":"2026-10-28T12:37:40","slug":"softbank-corp-and-ericsson-conduct-japans-first-trial-of-ericsson-ai-in-ran-on-a-5g-commercial-network","status":"publish","type":"post","link":"https:\/\/telecomkh.info\/?p=26716","title":{"rendered":"SoftBank Corp. and Ericsson conduct Japan\u2019s first trial of Ericsson AI in RAN on a 5G commercial network"},"content":{"rendered":"

Validating the effectiveness of AI in the radio access network (RAN)<\/strong><\/p>\n

SoftBank Corp. (President & CEO: Junichi Miyakawa, \u201cSoftBank\u201d) and Ericsson Japan K.K. (\u201cEricsson\u201d) have jointly conducted Japan\u2019s first*1 validation of the AI-native Scheduler for Link Adaptation, a feature of Ericsson AI in RAN software, on SoftBank\u2019s 5G commercial network and verified its effectiveness. The validation applied AI directly within the radio access network (RAN) using Ericsson AI in RAN software and enabled it to operate in real time.
\nThe two companies evaluated spectral efficiency*2, user throughput, robustness and stability on SoftBank\u2019s 5G commercial network. The results indicate gains of up to approximately 25 percent in spectral efficiency and up to approximately 50 percent in downlink user throughput compared with conventional technology. Across all evaluated locations, both spectral efficiency and downlink user throughput improved by approximately 10 percent on average. These results mark an important step toward the evolution of AI-native mobile networks.<\/p>\n

Background to the validation<\/strong>
\nWith the growing adoption of generative AI and related technologies, AI assistants, autonomous agents and immersive applications are increasingly being used in everyday situations. As the use of these services expands, mobile networks must address not only rising traffic volumes but also new traffic patterns and more advanced connectivity needs. Providing reliable communication services wherever they are needed is therefore becoming increasingly important.
\nMeeting these evolving demands requires more than simply adding network capacity. By applying AI directly within the RAN, operators can adapt more effectively to changing radio and traffic conditions, optimize network performance and efficiency, and make better use of existing resources. By validating the AI-native Scheduler for Link Adaptation, one of the features of Ericsson AI in RAN, on a 5G commercial network, SoftBank and Ericsson confirmed that AI-native technology can enhance the performance of existing networks and contribute to building the high-performing connectivity foundation required for next-generation AI-powered services.<\/p>\n

Applying AI to the RAN: Optimizing 5G performance in real time<\/strong>
\nWhile conventional Link Adaptation*3 optimization methods have primarily relied on rule-based algorithms based on offline analysis and static parameter configuration, Ericsson\u2019s AI-native Scheduler for Link Adaptation runs on baseband equipment based on real-time AI decisions. By learning from and performing inference on complex and constantly changing radio environments, the AI model enables the following:<\/p>\n

\u2022 Optimization of link parameters for users located at cell edges or in areas with high interference
\n\u2022 Stabilization of user throughput under challenging radio conditions, such as at cell edges and in congested areas
\n\u2022 Accommodation of more traffic within existing frequency bands through improved spectral efficiency<\/p>\n

Through this validation, SoftBank and Ericsson confirmed that AI can contribute to the realization of high-performing, secure and flexible networks as the two companies collaborate toward 5G Advanced and 6G in the future.<\/p>\n

Technical collaboration toward AI-native RAN<\/strong>
\nThis validation was conducted as part of the collaboration between SoftBank and Ericsson toward realizing AI-native RAN.<\/p>\n

Other roles of each company<\/strong>
\n\u2022 SoftBank: Defined the requirements for the evaluation areas based on traffic characteristics
\n\u2022 Ericsson: Trained the AI-native Scheduler for Link Adaptation model using actual network data, then implemented and tuned it to predict channel capacity and select the appropriate downlink transmission rate in real time.
\n\u2022 Both companies: Collaborated continuously from parameter design through evaluation<\/p>\n

By combining insights from SoftBank\u2019s network with Ericsson\u2019s AI in RAN expertise, the two companies will aim to further improve network performance in line with SoftBank\u2019s operating environment and support the continued evolution of AI-native RAN software.<\/p>\n

Teruyuki Oya, Senior Vice President & CNO of SoftBank Corp., says: \u201cUnder our growth strategy, \u2018Activate AI for Society,\u2019 SoftBank aims to bring the benefits of AI to more people and industries. As the implementation of AI in society advances rapidly, mobile networks are required to handle larger volumes of traffic with greater variability than ever before. Together with Ericsson, we have demonstrated the effectiveness of the AI-native scheduler for Link Adaptation on SoftBank\u2019s 5G commercial network. This achievement marks an important milestone in advancing the RAN through AI and represents a major step toward realizing networks that will support the future AI era. SoftBank will continue to accelerate its efforts toward realizing AI-native networks.\u201d
\nM\u00e5rten Lerner, Head of Networks Strategy & Product Management, at Ericsson says: \u201cThis collaboration with SoftBank is an important proof point for Ericsson\u2019s AI-native RAN strategy and technology leadership. By bringing telco-grade AI into the RAN, we are enabling real-time optimization using Ericsson Silicon in today\u2019s installed base, improving network performance and efficiency in 5G commercial networks. The results show how advanced AI capabilities, combined with operator expertise and responsibly handled data, can translate AI innovation into measurable improvements and a better user experience.\u201d
\nJawad Manssour, President and Representative Director of Ericsson Japan, says: \u201cEricsson believes that the role of mobile networks in delivering the full value of AI will become increasingly important. This field trial demonstrated that by directly applying AI to the Radio Access Network, significant gains are achievable in a network using commercially available hardware and software. Together with SoftBank, we are committed to further enhancing network performance and efficiency through AI-native technology, and to contributing to the realization of a network infrastructure capable of improving the customer experience and meeting future AI traffic demands. We will continue to further strengthen the partnership between our two companies and bring advanced network solutions originating from Japan to the world.\u201d<\/p>\n

*1 According to Ericsson Japan research based on deployments of Ericsson equipment in Japan, as of July 31, 2026.
\n*2 Spectral efficiency is a measure of how much traffic can be transmitted within a given amount of frequency bandwidth.
\n*3 Link Adaptation is a technology that optimizes data rates by adjusting the modulation scheme and coding rate in real time according to radio conditions.<\/p>\n

Above, M\u00e5rten Lerner, Head of Networks Strategy & Product Management, at Ericsson \/ image credited to Ericsson<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Validating the effectiveness of AI in the radio access network (RAN) SoftBank Corp. (President & CEO: Junichi Miyakawa, \u201cSoftBank\u201d) and Ericsson Japan K.K. (\u201cEricsson\u201d) have jointly conducted Japan\u2019s first*1 validation of the AI-native Scheduler for Link Adaptation, a feature of Ericsson AI in RAN software, on SoftBank\u2019s 5G commercial network and verified its effectiveness. The … <\/p>\n

Continue reading \u00abSoftBank Corp. and Ericsson conduct Japan\u2019s first trial of Ericsson AI in RAN on a 5G commercial network\u00bb<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":26717,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9,56],"tags":[],"_links":{"self":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26716"}],"collection":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=26716"}],"version-history":[{"count":1,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26716\/revisions"}],"predecessor-version":[{"id":26718,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26716\/revisions\/26718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/media\/26717"}],"wp:attachment":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=26716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=26716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=26716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}