UAE researchers define AI & 6G co-evolution requirements
Khalifa University provides vision for AI-native 6G network design
#UAE #6G - Khalifa University's 6G Research Centre has written a whitepaper which provides a vision for the mutual requirements for developing artificial intelligence and AI-native sixth-generation wireless networks. Published by through the Wireless World Research Forum, Quantifying the Mutual Requirements Driving AI and 6G Co-Evolution was developed in collaboration with Chinese technology multinational Huawei's Paris and Munich research centres. The whitepaper examines how AI workloads including large language models (LLMs) impact 6G infrastructure requirements, whilst identifying essential capabilities networks must provide to support distributed AI deployments. The research supports the UAE's ambition to become among the first nations implementing 6G technology by 2030, with networks promising speeds 100 times faster than current 5G systems.
SO WHAT? - This research addresses a fundamental shift in telecommunications infrastructure design, where AI becomes an enabler for wireless networks, not the other way around. However, this means that 6G networks must be developed as AI-native platforms that leverage artificial intelligence throughout, requiring many technology firsts. The Khalifa University whitepaper sheds light on how both wireless technology and AI should evolve to create future 6G networks and offers an approach for how stakeholders should approach research and development.
Here are some key details about this whitepaper:
Khalifa University’s 6G Research Center in collaboration with the Huawei Paris Research Center and the Huawei Munich Research Center. have published a new whitepaper Quantifying the Mutual Requirements Driving AI and 6G Co-Evolution via the Wireless World Research Forum,
The whitepaper examines bidirectional relationship in future 6G mobile networks, where AI enhances network operations, whilst infrastructure must support computational demands of advanced AI paradigms.
6G networks are being designed AI-native from inception, embedding artificial intelligence into core architecture, interfaces, and service models.
The research identifies how large language models, generative AI, and distributed learning impact 6G network infrastructure and system requirements.
Industry reports indicate telecommunications companies anticipate over 20% gains in revenue or cost efficiency through AI adoption across network operations.
The study analyses performance metrics including latency, bandwidth, energy efficiency, and data accessibility essential for AI-driven services.
Few telecom-specific large language models currently exist, with the sector lacking widely-accepted evaluation benchmarks for telecommunications applications.
Meanwhile, Khalifa University has placed itself at the forefront of language model development for telecom, announcing a specialised LLM TelecomGPT last year and an Open-Telco LLM Benchmarks initiative under the umbrella of Global telecom industry association the GSMA.
UAE aims to implement 6G networks by 2030, targeting speeds approximately 100 times faster than current 5G technology. The research supports emerging concepts including AI-as-a-Service and LLM-driven orchestration for programmable network interfaces and distributed intelligence.
ZOOM OUT - AI is expected to have a profound effect on the development, implementation and management of telecom networks. With organisations around the world currently working on the development of standards and technologies for 6G (sixth generation mobile networks), AI is expected to revolutionise mobile communications. Beyond conventional deep learning models, LLMs and other transformer models are likely to facilitiate more sophisticated and adaptive communication protocols, boosting potential network efficiency, resilience and intelligence. So, the ability to develop reliable, domain-specific models for the sector is vital to the successful development of 6G.
[Written and edited with the assistance of AI]
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Read more about telecom Khalif University’s 6G research:
GSMA releases telecom AI benchmarks ahead of MCW 2025 (Middle East AI News)
New leaderboard to support development of telecom LLMs (Middle East AI News)
Testing phase begins for TelecomGPT (Middle East AI News)
Abu Dhabi researchers create first-of-its-kind telecom LLM (Middle East AI News)