Il primo Cerano / Marco Rosci

• Record Nr.: UNISALENTO991001996469707536
• Autore: Rosci, Marco
• Pubbl/distr/stampa: [S.l.] : [s.n.], [1960?]
• Descrizione fisica: 1 v. ; 29 cm
• Disciplina: 759.5
• Soggetti: Crespi, Giovanni Battista; Crespi, Giovanni Battista
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Estr. da: Bollettino della Società piemontese di archeologia e belle arti, Nuova Serie, a. 14-15(1960)

Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications

• Record Nr.: UNINA9911006720403321
• Autore: Masaracchia Antonino
• Pubbl/distr/stampa: Stevenage : , : Institution of Engineering & Technology, , 2024; ©2025
• ISBN: 1-83724-384-0; 1-83953-642-X
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (270 pages)
• Collana: Telecommunications Series
• Altri autori (Persone): NguyenKhoi Khac; DuongTrung Q; SharmaVishal
• Disciplina: 621.38456
• Soggetti: 6G mobile communication systems; Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Contents -- Preface -- About the authors -- Part I. Introduction to machine learning and neural networks -- 1. Artificial intelligence, machine learning, and deep learning -- 2. Deep neural networks -- Part II. Deep reinforcement learning -- 3. Markov decision process -- 4. Value function approximation for continuous state-action space -- 5. Policy search methods for reinforcement learning -- 6. Actor-critic learning -- Part III. Deep reinforcement learning in UAV-assisted 6G communication -- 7. UAV-assisted 6G communications -- 8. Distributed deep deterministic policy gradient for power allocation control in UAV-to-UAV-based communications -- 9. Non-cooperative energy-efficient power allocation game in UAV-to-UAV communication: a multi-agent deep reinforcement learning approach -- 10. Real-time energy harvesting-aided scheduling in UAV-assisted D2D networks -- 11. 3D trajectory design and data collection in UAV-assisted networks -- Part IV. Deep reinforcement learning in reconfigurable intelligent surface-empowered 6G communications -- 12. RIS-assisted 6G communications -- 13. Real-time optimisation in RIS-assisted D2D communications -- 14. RIS-assisted UAV communications for IoT with wireless power transfer using deep reinforcement learning -- 15. Multi-agent learning in networks supported by RIS and multi-UAVs -- Index
• Sommario/riassunto: This co-authored book explores the many challenges arising from real-time and autonomous decision-making for 6G by covering crucial advanced signal control and real-time decision-making methods for UAV- and RIS-assisted 6G wireless communications including the serious constraints in real-time optimisation problems.