{"product_id":"deep-reinforcement-learning-for-reconfigurable-antonino-masaracchia-9781839536410","title":"Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and Uav Empowered Smart 6g Communications","description":"\u003cp\u003eReconfigurable intelligent surface (RIS) has emerged as a cutting-edge technology for beyond 5G and 6G networks due to its low-cost hardware production, nearly passive nature, easy deployment, communication without new waves, and energy-saving benefits. Unmanned aerial vehicle (UAV)-assisted wireless networks significantly enhance network coverage.\u003c\/p\u003e \u003cp\u003eResource allocation and real-time decision-making optimisation play a pivotal role in approaching the optimal performance in UAV- and RIS-aided wireless communications. But the existing contributions typically assume having a static environment and often ignore the stringent flight time constraints in real-life applications. It is crucial to improve the decision-making time for meeting the stringent requirements of UAV-assisted wireless networks. Deep reinforcement learning (DRL), which is a combination of reinforcement learning and neural networks, is used to maximise network performance, reduce power consumption, and improve the processing time for real-time applications. DRL algorithms can help UAVs and RIS work fully autonomously, reduce energy consumption and operate optimally in an unexpected environment.\u003c\/p\u003e \u003cp\u003eThis co-authored book explores the many challenges arising from real-time and autonomous decision-making for 6G. The goal is to provide readers with comprehensive insights into the models and techniques of deep reinforcement learning and its applications in 6G networks and internet-of-things with the support of UAVs and RIS.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eDeep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications\u003c\/i\u003e is aimed at a wide audience of researchers, practitioners, scientists, professors and advanced students in engineering, computer science, information technology, and communication engineering, and networking and ubiquitous computing professionals.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Antonino Masaracchia, Khoi Khac Nguyen, Trung Q. Duong\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1839536411\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781839536410\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Institution of Engineering \u0026amp; Technology\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/07\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 293\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.31lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.69d","brand":"Antonino Masaracchia","offers":[{"title":"Hardcover","offer_id":46640798335231,"sku":"9781839536410","price":150.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_545fe2a7-d89c-42be-9886-632474cd58e3.jpg?v=1740670546","url":"https:\/\/www.whiterainbookhouse.com\/products\/deep-reinforcement-learning-for-reconfigurable-antonino-masaracchia-9781839536410","provider":"WR Book House","version":"1.0","type":"link"}