6G Ecosystem: Current Status and Future Perspective
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TLDR
In this article, the authors study the latest perspectives and future megatrends that are most likely to drive 6G and highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.Abstract:
Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID’19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.read more
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TL;DR: This article identifies the primary drivers of 6G systems, in terms of applications and accompanying technological trends, and identifies the enabling technologies for the introduced 6G services and outlines a comprehensive research agenda that leverages those technologies.
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TL;DR: Potential technologies for 6G to enable mobile AI applications, as well as AI-enabled methodologies for6G network design and optimization are discussed.
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Xiaohu You,Cheng-Xiang Wang,Jie Huang,Xiqi Gao,Zaichen Zhang,Michael Mao Wang,Yongming Huang,Chuan Zhang,Yanxiang Jiang,Jiaheng Wang,Min Zhu,Bin Sheng,Dongming Wang,Zhiwen Pan,Pengcheng Zhu,Yang Yang,Zening Liu,Ping Zhang,Xiaofeng Tao,Shaoqian Li,Zhi Chen,Xinying Ma,Chih-Lin I,Shuangfeng Han,Ke Li,Pan Chengkang,Zhiming Zheng,Lajos Hanzo,Xuemin Shen,Yingjie Jay Guo,Zhiguo Ding,Harald Haas,Wen Tong,Peiying Zhu,Guanghua Yang,Jun Wang,Eric G. Larsson,Hien Quoc Ngo,Wei Hong,Haiming Wang,Debin Hou,Jixin Chen,Zhe Chen,Zhang-Cheng Hao,Geoffrey Ye Li,Rahim Tafazolli,Yue Gao,H. Vincent Poor,Gerhard P. Fettweis,Ying-Chang Liang +49 more
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TL;DR: An overview of HMIMOS communications including the available hardware architectures for reconfiguring such surfaces are provided, and the opportunities and key challenges in designingHMIMOS-enabled wireless communications are highlighted.
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