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

Author:   Nallamothu Suneetha
Publisher:   Eliva Press
ISBN:  

9789999330527


Pages:   158
Publication Date:   01 January 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Deep Learning and Optimization in Massive MIMO: Hybrid Approaches for Advanced Channel Estimation


Overview

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"".

Full Product Details

Author:   Nallamothu Suneetha
Publisher:   Eliva Press
Imprint:   Eliva Press
Dimensions:   Width: 15.20cm , Height: 0.90cm , Length: 22.90cm
Weight:   0.218kg
ISBN:  

9789999330527


ISBN 10:   9999330525
Pages:   158
Publication Date:   01 January 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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