9789999330060 - artificial intelligence for communication engineering: the intricacies of deep learning applications in wireless systems di shrivastava, shivanshu (10 risultati)
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,67
EUR 11,68 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 187 pages. 6.00x0.43x9.00 inches. In Stock.
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 81,64
EUR 7,59 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 86,35
EUR 3,49 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 81,52
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
- Brossura
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 63,20
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Artificial Intelligence for Communication Engineering | The Intricacies of Deep Learning Applications in Wireless Systems | Shivanshu Shrivastava | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999330060 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr…[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 78,94
EUR 61,41 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence for Communication Engineering offers a groundbreaking exploration into how deep learning (DL) and deep reinforcement learning (DRL) can transform the performance of modern wireless communication systems. With the… increasing demand for intelligent, adaptive, and energy-efficient communication networks, this book serves as a timely resource for researchers, engineers, and graduate students alike.Beginning with hybrid systems that integrate radio frequency (RF) and visible light communication (VLC), the book proposes innovative DL frameworks for optimizing bandwidth, power, and user allocation. It introduces deep Q-network (DQN) algorithms to maximize system throughput-demonstrating a significant gain compared to conventional optimization-based models. The discussion then evolves to dynamic indoor scenarios such as hospitals and airports, where transfer learning-based DQN models adapt to user mobility, drastically reducing training time while enhancing data throughput.The book further presents a two-stage deep transfer learning (DTL) strategy for high-complexity hybrid RF/free space optical systems, achieving up to 80% improvement in learning speed. It explores model-free DRL techniques for hybrid RF/LiFi networks, accounting for real-world factors like mobility and signal blockage, with results showing over 60% improvement in data rates.Later chapters focus on on-policy DRL strategies such as advantage actor-critic and proximal policy optimization, which outperform traditional DRL algorithms in large-scale heterogeneous networks. The book also dives into DL applications for massive MIMO systems using discrete Rajan transform for CSI feedback reduction, showcasing 120% improvement in estimation accuracy. Finally, it addresses cognitive radio systems under security threats, proposing DQN-based defense mechanisms that outperform legacy systems.Each chapter is supported by rigorous simulations in highly practical conditions. It shows the transformative power of AI in next-generation networks. More than a technical guide, this book is a vision for the intelligent, adaptive, and secure wireless communication systems of tomorrow.
Editore: Macmillan Education Australia, South Yarra, 2025
- Rilegato
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 69,86
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Artificial Intelligence for Communication Engineering offers a groundbreaking exploration into how deep learning (DL) and deep reinforcement learning (DRL) can transform the performance of modern wireless communication systems. With the increasing demand for intelligent, adaptive, and energ…y-efficient communication networks, this book serves as a timely resource for researchers, engineers, and graduate students alike. Beginning with hybrid systems that integrate radio frequency (RF) and visible light communication (VLC), the book proposes innovative DL frameworks for optimizing bandwidth, power, and user allocation. It introduces deep Q-network (DQN) algorithms to maximize system throughput-demonstrating a significant gain compared to conventional optimization-based models. The discussion then evolves to dynamic indoor scenarios such as hospitals and airports, where transfer learning-based DQN models adapt to user mobility, drastically reducing training time while enhancing data throughput. The book further presents a two-stage deep transfer learning (DTL) strategy for high-complexity hybrid RF/free space optical systems, achieving up to 80% improvement in learning speed. It explores model-free DRL techniques for hybrid RF/LiFi networks, accounting for real-world factors like mobility and signal blockage, with results showing over 60% improvement in data rates. Later chapters focus on on-policy DRL strategies such as advantage actor-critic and proximal policy optimization, which outperform traditional DRL algorithms in large-scale heterogeneous networks. The book also dives into DL applications for massive MIMO systems using discrete Rajan transform for CSI feedback reduction, showcasing 120% improvement in estimation accuracy. Finally, it addresses cognitive radio systems under security threats, proposing DQN-based defense mechanisms that outperform legacy systems. Each chapter is supported by rigorous simulations in highly practical conditions. It shows the transformative power of AI in next-generation networks. More than a technical guide, this book is a vision for the intelligent, adaptive, and secure wireless communication systems of tomorrow. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Macmillan Education Australia, South Yarra, 2025
- Rilegato
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 81,77
EUR 43,21 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Artificial Intelligence for Communication Engineering offers a groundbreaking exploration into how deep learning (DL) and deep reinforcement learning (DRL) can transform the performance of modern wireless communication systems. With the increasing demand for intelligent, adaptive, and energ…y-efficient communication networks, this book serves as a timely resource for researchers, engineers, and graduate students alike. Beginning with hybrid systems that integrate radio frequency (RF) and visible light communication (VLC), the book proposes innovative DL frameworks for optimizing bandwidth, power, and user allocation. It introduces deep Q-network (DQN) algorithms to maximize system throughput-demonstrating a significant gain compared to conventional optimization-based models. The discussion then evolves to dynamic indoor scenarios such as hospitals and airports, where transfer learning-based DQN models adapt to user mobility, drastically reducing training time while enhancing data throughput. The book further presents a two-stage deep transfer learning (DTL) strategy for high-complexity hybrid RF/free space optical systems, achieving up to 80% improvement in learning speed. It explores model-free DRL techniques for hybrid RF/LiFi networks, accounting for real-world factors like mobility and signal blockage, with results showing over 60% improvement in data rates. Later chapters focus on on-policy DRL strategies such as advantage actor-critic and proximal policy optimization, which outperform traditional DRL algorithms in large-scale heterogeneous networks. The book also dives into DL applications for massive MIMO systems using discrete Rajan transform for CSI feedback reduction, showcasing 120% improvement in estimation accuracy. Finally, it addresses cognitive radio systems under security threats, proposing DQN-based defense mechanisms that outperform legacy systems. Each chapter is supported by rigorous simulations in highly practical conditions. It shows the transformative power of AI in next-generation networks. More than a technical guide, this book is a vision for the intelligent, adaptive, and secure wireless communication systems of tomorrow. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Macmillan Education Australia, 2025
- Print on Demand
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 78,75
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Macmillan Education Australia, 2025
- Print on Demand
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,19
EUR 4,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
