Deep Learning and Optimization in Massive MIMO : Hybrid Approaches for Advanced Channel Estimation
Language: English
Published by Eliva Press, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 66.90
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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'.
Seller Inventory # 9789999330527
- Title
- Deep Learning and Optimization in Massive MIMO : Hybrid Approaches for Advanced Channel Estimation
- Author
- Nallamothu Suneetha
- Publisher
- Eliva Press
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9999330525
- ISBN 13
- 9789999330527
- Item weight
- 240 grams
- Dimensions
- 229x152x9 mm
"Synopsis" may belong to another edition of this title.
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| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
| First item | £ 29.51 | £ 37.94 |
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