摘要
与第5代移动通信网络(5G)相比,第6代移动通信网络(6G)有望引入新的性能指标和应用方案,如全球覆盖、更高的频谱/能源/成本效率、更高的智能和安全水平。用户为中心网络(UCN)将成为实现6G的关键推动者,因为其突破了传统基站为中心网络并与信息产业的新兴技术形成了有效融合。该文将从物理层的信道估计和预测、网络上层的性能分析以及链路层的无线资源管理等方面综述这一新型网络的研究现状。首先,讨论和分析UCN的概念和总体网络架构;其次,总结UCN网络中信道估计预测方法、性能分析策略和无线资源管理(RRM)方案;最后,在广泛的调研基础上,探讨UCN网络中的开放性问题,为今后的研究方向提供思路。此综述旨在使读者快速而全面地了解UCN的当前技术状况,从而吸引更多的研究人员进入这一领域。
Compared with the Fifth Generation mobile network(5G),the Sixth Generation mobile network(6G)is expected to introduce new performance indicators and application scenarios.Global coverage,high spectrum/energy/cost efficiency,high level of intelligence and security are leading features in 6G era.Different from traditional Base Station(BS)-centric network,the User-Centric Network(UCN)emerges as a key enabler for 6G by combining emerging technologies from information industries.In this novel framework,a comprehensive overview of physical layer,network layer and link layer is provided.As a starting point,the concepts and general architecture of the UCNs are surveied and discussed.Then,the survey is classified as:channel estimation and prediction;performance analysis with diverse performance metrics;different types of RRM(Radio Resource Management).Finally,based on extensive discussions,open issues are provided to guide future scholarly research directions.It is anticipated that this survey will provide a quick and comprehensive understanding of the current state of the arts for UCNs which attracting more researchers into this area.
作者
施建锋
杨照辉
黄诺
陈晓
张玉洁
陈明
SHI Jianfeng;YANG Zhaohui;HUANG Nuo;CHEN Xiao;ZHANG Yujie;CHEN Ming(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 211189,China;School of Electrical and Electronic Engineering,University College London,London E203BS,UK;CAS Key Laboratory of Wireless-Optical Communications,University of Science and Technology of China,Hefei 230027,China;School of Intelligent Engineering,Nanjing Institute of Railway Technology,Nanjing 210015,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第5期1873-1887,共15页
Journal of Electronics & Information Technology
基金
江苏省自然科学基金(BK20210641)
东南大学移动通信国家重点实验室开放研究基金(2021D11,2022D10)
江苏省高等学校自然科学研究项目(20KJB510037,21KJB510031)
南京信息工程大学人才启动项目(2020r009)。
关键词
用户为中心网络
信道估计预测
性能分析
无线资源管理
User-Centric Networks(UCN)
Channel estimation and prediction
Performance analysis
Radio Resource Management(RRM)
