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Showing 1 to 1 of 1 for “"Machine learning for wireless networks"”.

  1. On enhancing connectivity and efficiency in 5G and emerging 6G mobile networks

    The evolution of 5G and emerging 6G mobile networks introduces stringent requirements on connectivity, efficiency, reliability, and adaptability, particularly for smart factory and dense urban environments. This thesis investigates key challenges in next-generation wireless systems, including base …

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