Deep Learning and Optimization in Massive MIMO: Hybrid Approaches for Advanced Channel Estimation

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”.