Deep Learning and Optimization in Massive MIMO

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Bol Deep Learning and Optimization in Massive MIMO explores intelligent channel estimation for millimeter wave based next-generation wireless systems. It integrates deep learning models with hybrid optimization algorithms to enhance estimation accuracy and efficiency. The book highlights advanced architectures such as DNNs, LSTMs, and Meta-heuristic-aided methods. Case studies with datasets like DeepMIMO illustrate practical implementations and performance gains. Written for researchers, engineers, and graduate students, it blends theory with application. A valuable resource for advancing 5G, 6G, and beyond in wireless communications."Bridging deep learning intelligence with optimization to redefine channel estimation in massive MIMO for the 5G and 6G era".

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Deep Learning and Optimization in Massive MIMO explores intelligent channel estimation for millimeter wave based next-generation wireless systems. It integrates deep learning models with hybrid optimization algorithms to enhance estimation accuracy and efficiency. The book highlights advanced architectures such as DNNs, LSTMs, and Meta-heuristic-aided methods. Case studies with datasets like DeepMIMO illustrate practical implementations and performance gains. Written for researchers, engineers, and graduate students, it blends theory with application. A valuable resource for advancing 5G, 6G, and beyond in wireless communications."Bridging deep learning intelligence with optimization to redefine channel estimation in massive MIMO for the 5G and 6G era".

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Pages: 158, Paperback, Eliva Press


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Merk Eliva Press
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  • 9789999330527
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