{"id":26316,"date":"2026-11-09T14:18:44","date_gmt":"2026-11-09T14:18:44","guid":{"rendered":"https:\/\/www.gsma.com\/newsroom\/?p=26316"},"modified":"2026-11-09T14:19:26","modified_gmt":"2026-11-09T14:19:26","slug":"khalifa-university-gsma-and-amd-collaborate-to-bring-radio-frequency-foundation-models-to-telecom-operators","status":"publish","type":"post","link":"https:\/\/www.gsma.com\/newsroom\/all-documents\/khalifa-university-gsma-and-amd-collaborate-to-bring-radio-frequency-foundation-models-to-telecom-operators\/","title":{"rendered":"Khalifa University, GSMA and AMD Collaborate to Bring Radio Frequency Foundation Models to Telecom Operators\u00a0"},"content":{"rendered":"\n

Telecom Operators Invited to Assess New AI Capabilities for Radio Frequency Analysis, Network Planning and Operational Decision-Making<\/em> <\/p>\n\n\n\n

Abu Dhabi-UAE: 8 November 2026 \u2013<\/strong> Khalifa University of Science and Technology, GSMA and AMD are launching an operator evaluation initiative for RFGPT during MWC Doha 2026, opening access for telecom operators to explore its capabilities and assess its relevance to their radio frequency analysis needs. <\/p>\n\n\n\n

The collaboration brings together Khalifa University’s research expertise in AI and wireless communications, GSMA’s global mobile industry ecosystem, and advanced computing capabilities from AMD to evaluate how foundation models can address emerging challenges in modern telecommunications networks. <\/p>\n\n\n\n

Developed by Khalifa University\u2019s Digital Future Institute, RFGPT is a Radio Frequency (RF) foundation model that combines advanced wireless signal understanding with natural-language interaction. The model allows users to ask questions about observed wireless signals, identify their characteristics, and interpret complex scenes containing multiple signals. <\/p>\n\n\n\n

By translating highly technical radio frequency data into faster and more accessible insights, RFGPT has the potential to support operator functions such as radio access network (RAN) optimisation, network planning, spectrum management, and interference analysis. Hosted on AMD compute and supported by GSMA, the model will be available to telecom operators to explore its capabilities and evaluate relevant use cases across network operations, planning and performance management. <\/p>\n\n\n\n

RFGPT supports six evaluation areas. The model can identify wireless technologies including Wi-Fi, Bluetooth, LTE, 5G New Radio (NR), UMTS and DVB-S2, while distinguishing between uplink and downlink transmissions where applicable. It can also recognise modulation schemes and analyse complex wideband environments containing multiple simultaneous signals. <\/p>\n\n\n\n

In addition, the model can assess signal coexistence by identifying time-frequency overlap between transmissions and estimating the strength of interference or signal interaction. It can estimate wireless activity levels by analysing WLAN and NR user densities within a given observation window, providing operators with a better understanding of network utilisation patterns. These capabilities could support more effective spectrum management, interference mitigation and capacity planning. <\/p>\n\n\n\n

Reducing the time and specialist expertise typically required to interpret complex radio frequency data, RFGPT can also interpret key 5G NR network parameters, including subcarrier spacing, synchronisation signal block (SSB) patterns, channel state information reference signal (CSI-RS) configurations and sounding reference signal (SRS) structures. This could enable engineers and network teams to access and act on radio frequency insights more quickly through natural-language interaction. <\/p>\n\n\n\n

Professor Merouane Debbah, Senior Director, Digital Future Institute, Khalifa University, said: \u201cRadio frequency foundation models offer a new way to interpret the wireless environment, combining signal understanding with natural-language reasoning. With RFGPT, we want to give operators an opportunity to explore this approach in practice and help shape its development around the challenges they encounter in their networks. The initiative also reflects Khalifa University’s commitment to advancing AI-driven communications technologies and accelerating the adoption of research innovations that address real-world challenges facing mobile network operators.\u201d  <\/p>\n\n\n\n

Louis Powell, Director of AI Technologies, GSMA, said: \u201cOperators need opportunities to test emerging AI capabilities against concrete use cases. This collaboration provides a focused evaluation window for RFGPT, supported by API access on AMD compute. The feedback will help us understand where the model can deliver value and what is needed to take it further.\u201d  <\/p>\n\n\n\n

Philip Guido, Executive Vice President and Chief Commercial Officer, AMD, said: \u201cAs wireless networks grow more complex, operators need new ways to understand their radio environments and make informed decisions. Our collaboration with Khalifa University and GSMA gives operators access to RFGPT on AMD compute to evaluate how AI could simplify RF analysis and support more effective network planning, spectrum management and interference mitigation.\u201d <\/p>\n\n\n\n

Interested operators are invited to submit their use cases. The research and hosting teams will coordinate the evaluation scope and access arrangements, with participating teams invited to share feedback on performance, usability, and relevance to their applications. <\/p>\n\n\n\n

Request a two-week RFGPT trial: https:\/\/www.open-telco.ai\/rfgpt-trial\/<\/a>  <\/p>\n\n\n\n

ENDS <\/p>\n\n\n\n

About Khalifa University of Science and Technology<\/strong>  <\/p>\n\n\n\n

Khalifa University of Science and Technology, the UAE\u2019s top-ranked research-intensive institution, focuses on developing world leaders and critical thinkers in science, engineering and health science. The world-class university endeavors to be a catalyst to the growth of Abu Dhabi and the UAE\u2019s rapidly developing knowledge economy as an education destination of choice and a global leader among widely acknowledged international universities.  <\/p>\n\n\n\n

For more information, please visit: <\/a>http:\/\/www.ku.ac.ae\/<\/a>  <\/p>\n\n\n\n

About GSMA<\/strong> 
The GSMA is a global organisation unifying the mobile ecosystem to discover, develop and deliver innovation foundational to positive business environments and societal change. Our vision is to unlock the full power of connectivity so that people, industry, and society thrive. Representing mobile operators and organisations across the mobile ecosystem and adjacent industries, the GSMA delivers for its members across three broad pillars: Connectivity for Good, Industry Services and Solutions, and Outreach. This activity includes advancing policy, tackling today\u2019s biggest societal challenges, underpinning the technology and interoperability that make mobile work, and providing the world\u2019s largest platform to convene the mobile ecosystem at the MWC and M360 series of events. <\/p>\n\n\n\n

We invite you to find out more at gsma.com<\/a>   <\/p>\n\n\n\n

Media Contacts<\/strong> <\/p>\n\n\n\n

GSMA Press Office  
pressoffice@gsma.com<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"

Telecom Operators Invited to Assess New AI Capabilities for Radio Frequency Analysis, Network Planning and Operational Decision-Making  Abu Dhabi-UAE: 8 November 2026 \u2013 Khalifa University of Science and Technology, GSMA and AMD are launching an operator evaluation initiative for RFGPT during MWC Doha 2026, opening access for telecom operators to explore its capabilities and assess 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