finelybook
6G: The Road to the Future Wireless Technologies 2030 (River Publishers Series in Communications)
by 作者: Paulo Sergio Rufino Henrique and Ramjee Prasad PhD
Publisher Finelybook 出版社: River Publishers (March 29,2021)
Language 语言: English
pages 页数: 170 pages
ISBN-10 书号: 8770224390
ISBN-13 书号: 9788770224390
Book Description
Since the launch of Second-Generation Networks (2G),planning for each future mobile service was initiated many years before its commercial launch. In 2019,5G Networks began to be deployed commercially after almost ten years of planning. Similarly,the race for the 6G wireless networks that will be operational in 2030 has already started. To fulfill its potential in the upcoming decade,6G will undoubtedly require an architectural orchestration based on the amalgamation of existing solutions and innovative technologies. The book will begin by 作者: evaluating the state of the art of all current mobile generations while looking into their core building blocks. 6G implementation will require fundamental support from Artificial Intelligence (AI) and Machine Learning on the network’s edge and core,including a new Radio Frequency (RF) spectrum. The 6G use cases will require advanced techniques for enabling the future wireless network to be human-centric,ensuring enhanced quality of experience (QoE) for most of its applications. The concept of Human Bond Communication Beyond 2050 (Knowledge Home) and Communication,Navigation,Sensing,and Services (CONASENSE) will also profit from future wireless communication. Terahertz domains will exploit the Ultra-Massive Multiple Input Multiple Output Antennas (UM-MIMO) technologies to support Terabits’ data throughputs.
Moreover,optical wireless communications (OWC) will also come into play to support indoor and outdoor high-data rates. Further expansion of 6G core entities will support the novel concept of Society 5.0. Quantum computing processing and communications is also likely to be added into the 6G ecosystem with security managed by 作者: blockchain orchestration for a robust network.
