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6G通信感知一体化理论与技术

控制与决策 2023年第1期38卷 22-38页

作者：彭木根刘喜庆刘子乐孙泽忠北京邮电大学网络与交换技术国家重点实验室北京100876

为实现人机物智慧互联、智能体高效互通,第6代移动通信系统(the sixth generation of mobile communications system,6G)需要充分利用通信设备蕴含的感知潜能进行通信感知一体化,从而实现极高传输速率、极低传输时延、高精度宽范围感知... 详细信息

为实现人机物智慧互联、智能体高效互通,第6代移动通信系统(the sixth generation of mobile communications system,6G)需要充分利用通信设备蕴含的感知潜能进行通信感知一体化,从而实现极高传输速率、极低传输时延、高精度宽范围感知等性能目标.鉴于此,总结6G通信感知一体化国内外最新研究进展,包括通信感知一体化信息理论、通信感知一体化波形、通信感知一体化多址接入和干扰处理等技术.以太赫兹频段为例,重点总结太赫兹通信感知一体化研究进展,并展望通信感知一体化未来发展及其挑战.

关键词：通信感知一体化 6G 波形太赫兹

SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G

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Science China(Information Sciences) 2023年第3期66卷 26-39页

作者： Qihui WU Wei WANg Zuguang LI Bo ZHOU Yang HUANg Xianbin WANg College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology No.8511 Research Institute of CASIC Department of Electrical and Computer Engineering Western University

The sixth-generation(6G) wireless network will support ubiquitous connectivity and diversified scenarios to satisfy the requirements of various emerging applications. Full spectrum is a key enabler for6G to achieve the ambitious goal of a Tbps-scale data rate. In this paper, we first review the scenario and potential spectrum plan for 6G and then focus on SpectrumChain, a blockchain-based dynamic spectrumsharing(DSS) framework for 6G. The unique characteristics of blockchain for DSS are presented along with key technologies. Finally, the conclusion and future development trends are discussed.

关键词： dynamic spectrum sharing blockchain 6G

Intelligent indoor metasurface robotics

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National Science Review 2023年第8期10卷 20-32页

作者： Hanting Zhao Shengguo Hu Hongrui Zhang Zhuo Wang Hao Dong Philipp del Hougne Tie Jun Cui Lianlin Li State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Center on Frontiers of Computing Studies School of Computer Science Peking University The French National Centre for Scientific Research(CNRS) University of Rennes 4. State Key Laboratory of Millimeter WavesSoutheast University

Intelligent indoor robotics is expected to rapidly gain importance in crucial areas of our modern society such as at-home health care and factories. Yet, existing mobile robots are limited in their ability to perceive and respond to dynamically evolving complex indoor environments because of their inherently limited sensing and computing resources that are, moreover, traded off against their cruise time and payload. To address these formidable challenges, here we propose intelligent indoor metasurface robotics(I2MR),where all sensing and computing are relegated to a centralized robotic brain endowed with microwave perception; and I2MR’s limbs(motorized vehicles, airborne drones, etc.) merely execute the wirelessly received instructions from the brain. The key aspect of our concept is the centralized use of a computation-enabled programmable metasurface that can flexibly mold microwave propagation in the indoor wireless environment, including a sensing and localization modality based on configurational diversity and a communication modality to establish a preferential high-capacity wireless link between the I2MR’s brain and limbs. The metasurface-enhanced microwave perception is capable of realizing low-latency and high-resolution three-dimensional imaging of humans, even around corners and behind thick concrete walls, which is the basis for action decisions of the I2MR’s brain. I2MR is thus endowed with real-time and full-context awareness of its operating indoor environment. We implement, experimentally, a proof-of-principle demonstration at ～2.4 gHz, in which I2MR provides health-care assistance to a human inhabitant. The presented strategy opens a new avenue for the conception of smart and wirelessly networked indoor robotics.

关键词： intelligent metasurfaces intelligent robotics edge devices IoT 6G

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基于联盟的6G无人机通信网络优化概述

电子与信息学报 2022年第9期44卷 3126-3135页

作者：陈润丰陈瑾李虹初晓婧刘典雄张玉立徐煜华陆军工程大学通信工程学院南京210014 中国人民解放军96963部队南京210000 军事科学院系统工程研究院北京100141 军事科学院国防科技创新研究院北京100071

随着6G网络和无人机(UAV)技术的迅猛发展,无人机通信网络将成为6G空天地一体化网络融合的关键组成部分,在战场侦查、野外救援和物联网信息传输等民用和军用领域发挥重要作用。针对无人机群大规模、高动态和自组织等特性,以6G网络任务驱... 详细信息

随着6G网络和无人机(UAV)技术的迅猛发展,无人机通信网络将成为6G空天地一体化网络融合的关键组成部分,在战场侦查、野外救援和物联网信息传输等民用和军用领域发挥重要作用。针对无人机群大规模、高动态和自组织等特性,以6G网络任务驱动为出发点,该文提出基于联盟的6G无人机通信网络优化框架。围绕联盟形成、联盟任务实施和联盟资源管理对无人机联盟工作原理展开论述。结合博弈论、机器学习和在线决策,给出了无人机通信网络资源优化方法和仿真示例。最后,对6G无人机通信网络的应用前景和亟需解决的问题进行了开放性讨论。

关键词： 6G 无人机通信网络联盟任务驱动博弈论

面向6G MEC多业务通信与计算资源联合优化策略

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华中科技大学学报（自然科学版） 2023年第3期51卷 1-6,16页

作者：王德胜邓珂黄治华张浩林浩瀚华中科技大学电子信息与通信学院湖北武汉430074 鹏城实验室宽带通信研究部广东深圳518055 武汉船舶通信研究所湖北武汉430072

以边缘计算技术(MEC)的系统时延和能耗作为联合优化的核心指标,对多小区-多终端场景进行系统性混合整数非线性规划(MINLP)的数学建模,利用遗传算法中嵌套麻雀觅食算法的思路,建立从整体到局部的联合优化方法;通过分析通信资源与计算资... 详细信息

以边缘计算技术(MEC)的系统时延和能耗作为联合优化的核心指标,对多小区-多终端场景进行系统性混合整数非线性规划(MINLP)的数学建模,利用遗传算法中嵌套麻雀觅食算法的思路,建立从整体到局部的联合优化方法;通过分析通信资源与计算资源二者之间的置换机理,给出了高效的终端接入选择、任务卸载策略,以及发射功率、计算频率等优化方法.为未来新型业务在时效与能耗等优化方面起到积极的理论指导作用,也为未来6G通信、计算、存储、控制等4C一体化设计提供有益探索.

关键词： 6G 移动边缘计算通信计算一体化资源分配遗传算法麻雀算法

New Delay Doppler Communication Paradigm in 6G Era:A Survey of Orthogonal Time Frequency Space(OTFS)

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China Communications 2023年第6期20卷 1-25页

作者： Weijie Yuan Shuangyang Li Zhiqiang Wei Yuanhao Cui Jiamo Jiang Haijun Zhang Pingzhi Fan Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhenChina Faculty of Electrical Engineering and Computer Science Technical University of BerlinBerlinGermany School of Mathematics and Statistics Xi’an Jiaotong UniversityXi’anChina Department of Communication Engineering Beijing University of Posts and TelecommunicationsBeijingChina China Academy of Information and Communications Technology BeijingChina School of Computer and Communication Engineering University of Science and Technology BeijingBeijingChina School of Information Science and Technology Southwest Jiaotong UniversityChengduChina

In the 6G era,Space-Air-ground Integrated Network(SAgIN)are anticipated to deliver global coverage,necessitating support for a diverse array of emerging applications in high-mobility,hostile environments.Under such conditions,conventional orthogonal frequency division multiplexing(OFDM)modulation,widely employed in cellular and Wi-Fi communication systems,experiences performance degradation due to significant Doppler shifts.To overcome this obstacle,a novel twodimensional(2D)modulation approach,namely orthogonal time frequency space(OTFS),has emerged as a key enabler for future high-mobility use cases.Distinctively,OTFS modulates information within the delay-Doppler(DD)domain,as opposed to the timefrequency(TF)domain utilized by OFDM.This offers advantages such as Doppler and delay resilience,reduced signaling latency,a lower peak-to-average ratio(PAPR),and a reduced-complexity implementation.Recent studies further indicate that the direct interplay between information and the physical world in the DD domain positions OTFS as a promising waveform for achieving integrated sensing and communications(ISAC).In this article,we present an in-depth review of OTFS technology in the context of the 6G era,encompassing fundamentals,recent advancements,and future directions.Our objective is to provide a helpful resource for researchers engaged in the field of OTFS.

关键词： OTFS 6G delay-Doppler(DD)domain

Federated Learning for 6G:Applications,Challenges,and Opportunities

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Engineering 2022年第1期8卷 33-41页

作者： Zhaohui Yang Mingzhe Chen Kai-Kit Wong H.Vincent Poor Shuguang Cui Department of Electronic and Electrical Engineering University College LondonLondon WC1E 6BTUK Department of Electrical and Computer Engineering Princeton UniversityPrincetonNJ 08544USA Shenzhen Research Institute of Big Data The Chinese University of Hong KongShenzhen 518172China School of Science and Engineering and Future Network of Intelligence Institute The Chinese University of Hong KongShenzhen 518172China

Standard machine-learning approaches involve the centralization of training data in a data center,where centralized machine-learning algorithms can be applied for data analysis and inference.However,due to privacy restrictions and limited communication resources in wireless networks,it is often undesirable or impractical for the devices to transmit data to parameter sever.One approach to mitigate these problems is federated learning(FL),which enables the devices to train a common machine learning model without data sharing and transmission.This paper provides a comprehensive overview of FL applications for envisioned sixth generation(6G)wireless networks.In particular,the essential requirements for applying FL to wireless communications are first described.Then potential FL applications in wireless communications are detailed.The main problems and challenges associated with such applications are discussed.Finally,a comprehensive FL implementation for wireless communications is described.

关键词： Federated learning 6G Reconfigurable intelligent surface Semantic communication Sensing Communication and computing

Reconfigurable intelligent surfaces for 6G:applications,challenges,and solutions

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Frontiers of Information Technology & Electronic Engineering 2023年第12期24卷 1669-1688页

作者： Yajun ZHAO Beijing Institute of Technology Beijing100081China ZTE Corporation Beijing100029China

Scholars are expected to continue enhancing the depth and breadth of theoretical research on reconfigurable intelligent surface(RIS)to provide a higher theoretical limit for RIS engineering applications.Notably,significant advancements have been achieved through both academic research breakthroughs and the promotion of engineering applications and industrialization.We provide an overview of RIS engineering applications,focusing primarily on their typical features,classifications,and deployment scenarios.Furthermore,we systematically and comprehensively analyze the challenges faced by RIS and propose potential solutions including addressing the beamforming issues through cascade channel decoupling,tackling the effects and resolutions of regulatory constraints on RIS,exploring the network-controlled mode for RIS system architecture,examining integrated channel regulation and information modulation,and investigating the use of the true time delay(TTD)mechanism for RIS.In addition,two key technical points,RIS-assisted non-orthogonal multiple access(NOMA)and RIS-based transmitter,are reviewed from the perspective of completeness.Finally,we discuss future trends and challenges in this field.

关键词： 6G Reconfigurable intelligent surface(RIS) Cascade channel decoupling RIS regulatory constraint RIS system

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面向6G应用的高分辨雷达人体感知技术

华中科技大学学报（自然科学版） 2023年第3期51卷 17-24页

作者：曹宗杰邓子鹏皮亦鸣电子科技大学(深圳)高等研究院广东深圳518110 电子科技大学信息与通信工程学院四川成都611731

对面向6G应用的高分辨雷达人体精细动作感知技术进行了分析和展望.首先介绍了当下6G技术的现状与基于6G的沉浸化技术的应用潜力;通过6G技术的挑战和愿景,总结出6G技术在发展过程中的需求,对基于多种传感器系统的人体感知与人机交互系统... 详细信息

对面向6G应用的高分辨雷达人体精细动作感知技术进行了分析和展望.首先介绍了当下6G技术的现状与基于6G的沉浸化技术的应用潜力;通过6G技术的挑战和愿景,总结出6G技术在发展过程中的需求,对基于多种传感器系统的人体感知与人机交互系统的优缺点及发展前景进行了剖析;随后探讨了面向6G应用场景下的智能感知技术,最后对高分辨雷达人体精细动作感知技术面临的挑战和关键性技术进行了分析.

关键词： 6G 太赫兹雷达人体感知人机交互沉浸化技术