Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Machine Learning for Wireless"”.
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Two New Applications of Tensors to Machine Learning for Wireless Communications
With the increasing number of wireless devices and the phenomenal amount of data that is being generated by them, there is a growing interest in the wireless communications community to complement the traditional model-driven design approaches with data-driven machine learning (ML)-based solutions. …
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Online Machine Learning for Wireless Communications: Channel Estimation, Receive Processing, and Resource Allocation
Machine learning (ML) has shown its success in many areas such as computer vision, natural language processing, robot control, and gaming. ML also draws significant attention in the wireless communication society. However, applying ML schemes to wireless communication networks is not …
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3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks
… of artificial intelligence are two main driving forces for next generation wireless systems. This dissertation focuses on aspects of channel estimation and precoding for 3D massive MIMO systems and application of deep reinforcement learning (DRL) for MIMO broadcast beam synthesis. To be specific, …
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On enhancing connectivity and efficiency in 5G and emerging 6G mobile networks
… reliability, and adaptability, particularly for smart factory and dense urban environments. This thesis investigates key challenges in next-generation wireless systems, including base station selection, interference management, spectral efficiency enhancement, latency reduction, and feedback …