LEADER 04483nam 22005895 450 001 9910983031303321 005 20250626163634.0 010 $a9783031748059$b(electronic bk.) 010 $z9783031748042 024 7 $a10.1007/978-3-031-74805-9 035 $a(MiAaPQ)EBC31784481 035 $a(Au-PeEL)EBL31784481 035 $a(CKB)36590259700041 035 $a(DE-He213)978-3-031-74805-9 035 $a(EXLCZ)9936590259700041 100 $a20241115d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFree-Space Optical Communication Systems for Next Generation Networks /$fby Abhijeet Upadhya, Vivek K. Dwivedi, Ghanshyam Singh 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (203 pages) 311 08$aPrint version: Upadhya, Abhijeet Free-Space Optical Communication Systems for Next Generation Networks Cham : Springer,c2024 9783031748042 327 $aChapter 1. AN INTRODUCTION TO FREE SPACE OPTICAL SYSTEMS -- Chapter 2. PERFORMANCE ANALYSIS OF MIXED RF/FSO SYSTEMS OVER ? ? ? FADING CHANNELS -- Chapter 3. INTERFERENCE LIMITED DUAL HOP RF/FSO AF RELAYING OVER ? ? ? 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. 330 $aThis 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. Provides comprehensive introduction free-space optical (FSO) communication networks; Includes performance analysis and wireless channel modeling schemes of mixed RF/FSO relaying systems; Describes several FSO communication schemes to enhance the performance of next generation networks. 606 $aTelecommunication 606 $aWireless communication systems 606 $aMobile communication systems 606 $aCooperating objects (Computer systems) 606 $aMicrowaves, RF Engineering and Optical Communications 606 $aWireless and Mobile Communication 606 $aCyber-Physical Systems 615 0$aTelecommunication. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aCooperating objects (Computer systems) 615 14$aMicrowaves, RF Engineering and Optical Communications. 615 24$aWireless and Mobile Communication. 615 24$aCyber-Physical Systems. 676 $a621.3 700 $aUpadhya$b Abhijeet$01785435 701 $aDwivedi$b Vivek K$01785436 701 $aSingh$b Ghanshyam$01074833 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983031303321 996 $aFree-Space Optical Communication Systems for Next Generation Networks$94316974 997 $aUNINA