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Deep Reinforcement Learning for Wireless Communications and Networking : Theo...
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eBay item number:355515935826
Item specifics
- Condition
- Book Title
- Deep Reinforcement Learning for Wireless Communications and Netwo
- ISBN
- 9781119873679
- Subject Area
- Computers, Technology & Engineering
- Publication Name
- Deep Reinforcement Learning for Wireless Communications and Networking : Theory, Applications and Implementation
- Item Length
- 9 in
- Publisher
- Wiley & Sons, Incorporated, John
- Subject
- Mobile & Wireless Communications, Intelligence (Ai) & Semantics, Security / Networking
- Publication Year
- 2023
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.7 in
- Item Width
- 6 in
- Item Weight
- 34.5 Oz
- Number of Pages
- 288 Pages
About this product
Product Information
Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119873673
ISBN-13
9781119873679
eBay Product ID (ePID)
27058364225
Product Key Features
Publication Name
Deep Reinforcement Learning for Wireless Communications and Networking : Theory, Applications and Implementation
Format
Hardcover
Language
English
Subject
Mobile & Wireless Communications, Intelligence (Ai) & Semantics, Security / Networking
Publication Year
2023
Type
Textbook
Subject Area
Computers, Technology & Engineering
Number of Pages
288 Pages
Dimensions
Item Length
9 in
Item Height
0.7 in
Item Width
6 in
Item Weight
34.5 Oz
Additional Product Features
LCCN
2023-014416
Intended Audience
Scholarly & Professional
Lc Classification Number
Q325.6.H63 2023
Copyright Date
2023
Dewey Decimal
006.31
Dewey Edition
23
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:355515935826
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Item location:
Jessup, Maryland, United States
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