Free-Space Optical Communication Systems for Next Generation Networks
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53 249 Ft
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 16 November 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031748042
- Binding Hardback
- No. of pages188 pages
- Size 235x155 mm
- Language English
- Illustrations XXI, 188 p. 46 illus., 45 illus. in color. Illustrations, black & white 613
Categories
Long description:
This book provides insights in the field of free-space optical (FSO) communication, which is considered the next frontier for future-generation, broadband wireless networks. The authors discuss various factors limiting practical implementations of the mixed radio frequency/free-space optical (RF/FSO) relaying technology, to determine the impact of important parameters on the performance of mixed RF/FSO relaying systems. The book presents the various generalized channel models that can be adopted to model RF and FSO link statistics. Further, it presents the modeling of amplify-and-forward (AF) and decode-and-forward (DF) forms of cooperative relaying schemes. This book enables readers to understand the various mitigation techniques that can be utilized in mixed RF/FSO relaying in order to improve the overall user experience. The authors discuss the importance of artificial intelligence and machine learning in the field of wireless optical communication systems. Finally, the optical wireless channel modeling using both CNN and LSTM model is explored with their potential to enhance the accuracy and reliability of channel estimation.
MoreTable of Contents:
Chapter 1. AN INTRODUCTION TO FREE SPACE OPTICAL SYSTEMS.- Chapter 2. PERFORMANCE ANALYSIS OF MIXED RF/FSO SYSTEMS OVER α − μ FADING CHANNELS.- Chapter 3. INTERFERENCE LIMITED DUAL HOP RF/FSO AF RELAYING OVER α − μ TURBULENCE CHANNELS.- Chapter 4. RELIABILITY ANALYSIS FOR INTERFERENCE LIMITED MIXED MUD-RF/FSO VARIABLE GAIN AF COOPERATIVE RELAYS OVER D-GG CHANNEL.- Chapter 5. UAV-FSO COOPERATIVE RELAYING SYSTEM WITH GENERALIZED INTERFERENCE MODEL.- Chapter 6. IMPACT OF INTERFERENCE ON MIXED RF/MIMO-FSO RELAYING SYSTEMS.- Chapter 7. NOMA AIDED INTERFERENCE LIMITED MIXED RF/FSO RELAYING.- Chapter 8. ROLE OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING IN FREE SPACE OPTICAL COMMUNICATION NETWORKS.- Chapter 9. DEEP LEARNING ENABLED CHANNEL ESTIMATION FOR FSO SYSTEMS.- Chapter 10. CNN AND LSTM DEEP LEARNING MODELS FOR CHANNEL ESTIMATION OF TWO-WAY RELAYING IN THE PRESENCE OF HARDWARE IMPAIRMENT.
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