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A Fully-Decoupled RAN Architecture for 6G Inspired by Neurotransmission

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Yu Quan 1 *   Zhou Haibo 2,1 *   Chen Jiacheng 1 *   Li Ying 1 *   Jing Jian 3,1 *   Zhao Jiwei (Jackokie) 2 *   Qian Bo 2 *   Wang Jian 2,1 *  
文摘 While the commercial deployment and promotion of 5G is ongoing, mobile communication networks are still facing three fundamental challenges,i.e., spectrum resource scarcity,especially for low-frequency spectrum, exacerbated by fragmented spectrum allocation, user-centric network service provision when facing billions of personalized user demands in the era of Internet of everything (IoE), and proliferating operation costs mainly due to huge energy consumption of network infrastructure. To address these issues,it is imperative to consider and develop disruptive technologies in the next generation mobile communication networks, namely 6G. In this paper, by studying brain neurons and the neurotransmission, we propose the fully-decoupled radio access network (FD-RAN). In the FD-RAN,base stations (BSs)are physically decoupled into control BSs and data BSs, and the data BSs are further physically split into uplink BSs and downlink BSs. We first review the fundamentals of neurotransmission and then propose the 6G design principles inspired by the neurotransmission. Based on the principles,we propose the FD-RAN architecture, elastic resource cooperation in FD-RAN, and improved transport service layer design. The proposed fully decoupled and flexible architecture can profoundly facilitate resource cooperation to enhance the spectrum utilization, reduce the network energy consumption and improve the quality of user experience. Future research topics in this direction are envisioned and discussed.
来源 Journal of Communications and Information Networks ,2019,4(4):15-23 【核心库】
DOI 10.23919/JCIN.2019.9005430
关键词 6G ; architecture design ; RAN ; neural network ; neurotransmission
地址

1. Peng Cheng Laboratory, Shenzhen, 518000  

2. School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023  

3. School of Life Sciences, Nanjing University, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing, 210023

语种 英文
文献类型 研究性论文
ISSN 2096-1081
学科 电子技术、通信技术
文献收藏号 CSCD:6639958

参考文献 共 16 共1页

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1 Yu Quan Cybertwin Based Cloud Native Networks Journal of Communications and Information Networks,2023,8(3):187-202
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