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Deep Learning and Optimization in Massive MIMO
Hybrid Approaches for Advanced Channel Estimation
Angleščina
127 b
30 dni za vračilo blaga
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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