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    The transition from 5G to 6G networks demands groundbreaking advances in intelligence, adaptability, and security to support emerging applications such as real-time telemedicine, immersive extended reality (XR), and autonomous systems This article provides a comprehensive analysis of how artificial intelligence (AI), machine learning (ML), and large language models (LLM) are revolutionizing
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    The deployment of fifth-generation (5G) wireless networks is transforming digital connectivity through ultra-low latency, high data rates, and massive device support However, enabling
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    5G wireless communication networks are currently being deployed, and B5G networks are expected to be developed over the next decade AI technologies and, in particular, ML have the potential to efficiently solve the unstructured and seemingly intractable problems by involving large amounts of data that need to be dealt with in B5G This article studies how AI and ML can be leveraged for the
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    In conclusion, during the 5G era, we transitioned from the traditional reactive paradigm, such as Self-Organizing Networks (SON), to a more proactive AI ML approach
  • Why our AI future depends on the 5G networks we build today
    Realizing this AI-driven future will depend on the networks we choose to build now An open, secure and interoperable technology foundation – spanning 5G and 6G networks, cloud infrastructure, semiconductors and AI – is essential to support new applications at a global scale





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