面向6G的卫星通信网络架构展望

分析和研究了未来6G卫星网络架构并提出了设想。首先介绍国内外星地融合的研究现状,结合6G网络的愿景、需求和6G网络架构的当前研究成果,总结了6G网络架构的技术特征;然后通过对人工智能（AI）在通信领域的研究和应用分析,以及AI在6G网络中关键作用的深入挖掘,提出了AI赋能的6G卫星通信网络总体架构、接入网架构及核心网架构的设想,同时提出了分阶段演进和分步骤实现的建设思路,最后对基于区块链的6G卫星通信网络韧性鲁棒机制进行了技术探讨。     

通信人工智能的下一个十年

移动通信技术走过了37年的发展历程,人工智能技术也已走过了64年的发展历程。从早期的各自独立演进,到5G与人工智能开始深度融合发展,"5G与人工智能"已被业界视为一组最新的通用目的技术组合,对垂直行业的发展起到提振生产力与赋能的作用。首先介绍了早期移动通信和人工智能各自的发展路线,并重点回顾了人工智能与通信技术在3G到5G阶段开始融合发展。针对通信人工智能,详细阐述了当前人工智能技术在移动通信生态系统中各领域的发展情况,包括通信网络基础设施、网络管理与运营、电信业务管理、跨领域融合智能化、垂直行业与专网等,并总结了通信国际标准组织对人工智能技术在移动通信系统中的分级定义与演进路线。面向下一个十年,展望了通信人工智能未来的发展路线与演进趋势,并结合3GPP与ITU-R的5G/6G时间表,前瞻性探索了基于3GPP和O-RAN路线的网络智能化、基于体验感知与意图的网络管理与运营系统的发展、网络AI信令体系、面向智慧中台演进的电信业务与支撑体系、跨领域融合的智能化体验管理与策略管理、从SLA向ELA的演进以及面向垂直行业的智能专网等。最后建议行业达成共识,在下一个十年中全面加速推进人工智能在通...     

智能物联网AIoT研究综述

智能物联网（artificial intelligence of things,AIoT）是人工智能与物联网技术相融合的产物,这一新兴概念在智慧城市、智能家居、智慧制造、无人驾驶等领域得到了广泛应用。然而AIoT相关技术研究仍处于初级阶段, 存在大量问题和挑战。首先简述了AIoT技术产生的背景,明晰其定义和应用场景。以此为契机,构建了一个新型的面向智能信息处理的云边端融合AIoT架构。在给出AIoT研究体系的基础上, 详细探讨并比较了其各组成技术模块,包括AI融合IoT数据采集、复杂事件处理及协同、云边端融合研究、AI融合IoT安全及隐私保护和AI融合应用服务等方面的研究现状和解决方案。最后, 论述了AIoT未来的研究方向和发展趋势。     

B5G:泛在融合信息网络

延续"线"—"面"—"体"的演进趋势,超5代移动通信系统(B5G)继续提高通信速率,拓展通信空间,完善通信智慧,演进为泛在融合信息网络。B5G使用更高的频段作为信号载体,数据速率达到太比特每秒量级。伴随网络性能的增强,B5G的适用空间拓展至陆海空天。与以往移动通信系统不同,人工智能(AI)成为B5G性能提升的强劲引擎。基于AI的干扰管理、深度学习智能信号处理以及太赫兹技术成为物理层关键技术。基于极化码的中继、多天线、多址技术是传输层关键技术。基于AI的移动网络架构、面向人机物泛在融合的全析网络架构以及认知增强与决策推演的智能定义网络架构等方式的新架构被应用于网络层。     

室内可见光通信异构融合系统研究进展

为了提高可见光通信系统性能,将可见光通信技术与其它通信技术异构融合,能使各类技术取长补短,增强通信系统容量,提高资源利用率。介绍了可见光通信分别与电力线通信（PLC）、Wi Fi、以太网、长期演进（LTE）网络、第五代/第六代移动通信技术（5G/6G）融合的方法及发展现状,对可见光通信异构融合系统的未来发展做了展望。     

5G智能控制下的图书馆

<正>目前，图书馆业已开始关注并利用新兴技术和新理念促进自身的创新和发展，无论是在服务方向、服务内容、服务形式还是流程模式上都体现了时代的新鲜元素。人工智能（AI）的深入应用和5G通信技术的加入，逐步实现了物联网和智能服务场景的构建，5G通信的低功耗和高速度推动了在线服务的革命性发展，因此，研究“5G+AI”技术集成环境下的读者服务策略具有重要意义。     

5G赋能银行业创新发展

5G作为新一代通信技术,不是简单的"4G+1G"的简单叠加,将为多产业融合提供基础设施支撑,进而充分释放数字化应用对经济社会发展的作用。通过将网络技术与人工智能、大数据、云计算以及区块链等技术融合,实现不同技术领域间的深度融合应用。本文通过深入分析银行业业务需求,探索5G为银行领域带来的机遇与挑战,分析未来银行业业务发展的新模式。     

面向6G的人工智能物联网技术革新与展望

近年来,学术界和工业界已经开始考虑相较于第五代移动通信技术(5th Generation,5G)来说更为先进的第六代移动通信技术(6th Generation,6G).在6G的支持下,物联网(Internet of Things,IoT)将会结合人工智能(Artificial Intelligence,AI),步入人工智能物联网(Artificial Intelligence of Things,AIoT)时代,通过IoT产生、收集海量数据存储于云端、边缘端,再通过AI,实现智能感知、智能分析和智能控制.本文综述了6G网络基础架构下AIoT的定义和架构,并进一步讨论实现AIoT所带来的技术挑战,包括大规模智能连接、安全性和隐私性以及实现AIoT的潜在使能技术.     

AI技术在卫星通信/互联网领域的应用综述

卫星互联网的诞生带来新的发展机遇，同时也具备诸多挑战。主要调研了在空天地一体化的背景下，人工智能（AI）技术作为重要的辅助工具在卫星通信/卫星互联网领域的应用，涉及通信抗干扰、通信路由、星地网络系统架构、星座运营与管理等场景，其中涉及的AI算法包括传统机器学习、深度学习、强化学习等；最后，针对AI技术在卫星通信/互联网领域的发展趋势，提出了未来的研究方向，为我国卫星领域的智能化发展提供了思路和技术方案。     

人工智能与无线通信技术融合应用

人工智能（AI）作为一种新兴技术,与无线通信技术的融合已经成为当前研究的热点之一。首先介绍了人工智能的概念、技术和应用现状,基于无线通信技术的基本原理和发展现状。重点讨论了人工智能在无线通信领域中的应用,包括信号处理、新型信道编码与调制、太赫兹通信、智能通信等方面应用,并以无人驾驶技术为实例来研究。展望了人工智能与无线通信技术的未来发展方向,以及对信息通信领域的深远影响。     

Native intelligence for 6G mobile network: technical challenges,architecture and key features

The application of the artificial intelligence(AI) technology in the 5 th generation mobile communication system(5 G) networks promotes the development of the mobile communication network and its application in vertical industries, however, the application models of “patching” and “plug-in” have hindered the effect of AI applications. Meanwhile, the application of AI in all walks of life puts forward requirements for new capabilities of the future network, such as distributed training, real-time...     

5G移动通信技术在“智慧广电”网络建设中的应用和发展

为推动广电行业的智能化,文中探讨了5G移动通信技术在智慧广电网络建设中的应用。首先,分别介绍了5G移动通信技术和智慧广电,总结了建设智慧广电网络的要求。其次,分别介绍了大数据技术、软件定义网络技术、广电物联技术、云技术的应用要点,并展望了5G技术下智慧广电网络的未来发展,明确了今后的网络建设方向,旨在推动广电行业在5G时代下的长期发展。     

MEC规划方案及部署策略的探讨

5G新网络架构引入和关键技术应用正在推动网络变革和技术创新,加速通信运营商网络向以DC为核心的组网架构演进,促进MEC在5G网络中的规模部署和商用,成为未来网络和业务深度融合的新型关键基础设施。针对5G网络中MEC规划部署架构、方案和策略等关键问题,首先基于国内运营商网络重构的目标架构和关键举措,研究了MEC在5G网络中融合部署实施架构,其次结合业务、技术和运维等因素,提出了MEC规划方案和部署策略,最后阐述了固移融合趋势下MEC网络及平台体系架构。     

平台化服务网络——新型移动通信系统架构研究

5G的部署让网络从服务个人向服务产业扩展。分析了移动通信系统的演进历程，提出了新的架构发展方向——平台化服务网络。面向网络碎片化这一产业互联网发展中的根本性挑战，新的架构中通过平台化解决成本问题，通过“服务化”实现异构能力，通过二者的协同实现网络可靠、可保障。给出了平台化服务网络的定义、总体架构及数学模型。结合5G服务化架构（service-based architecture,SBA）设计的创新实践，提出了服务设计的原则，并进而给出了层次化的设计思路。     

厦门市700 MHz频谱使用现状及干扰隐患

5G系统是我国实施“两个强国”战略的重要信息基础设施,更是发展新一代信息通信技术的高地。700 MHz作为最新规划的5G低频段频谱资源,将进一步提升5G通信技术的发展。重点介绍了厦门市700 MHz频谱的使用现状,存在的干扰隐患及解决建议。     

未来网络应用场景与网络能力需求

以TCP/IP为体系架构的互联网已经发展为当前信息社会的重要基础设施。但随着网络流量的迅速增长和各种新兴应用的不断出现,现有网络体系结构在各方面的问题日益突出。分析了未来网络的新型应用,并明确了未来网络应用的性能需求会给网络体系结构的研究和设计提供更清晰的方向。对浸入式体验、物联网、触觉互联网和智能交通这几类典型未来网络应用的应用场景进行了分析,总结出未来网络应用对未来网络的能力需求,导出关键的网络性能指标需求。     

Leveraging AI-enabled 6G-driven IoT for sustainable smart cities

Many scholastic researches have begun around the globe about the competitive technological interventions like 5G communication networks and its challenges. The incipient technology of 6G networks has emerged to facilitate ultrareliable and low-latency applications for sustainable smart cities which are infeasible with the existing 4G/5G standards. Therefore, the advanced technologies like machine learning (ML), block chain, and Internet of Things (IoT) utilizing 6G network are leveraged to develop cost-efficient mechanisms to address the issues of excess communication overhead in the present state of the art. Initially, the authors discussed the key vision of 6G communication technologies, its core technologies (such as visible light communication [VLC] and THz), and the existing issues with the existing network generations (such as 5G and 4G). A detailed analysis of benefits, challenges, and applications of blockchain-enabled IoT devices with application verticals like Smart city, smart factory plus, automation, and XR that form the key highlights for 6G wireless communication network is also presented. In addition, the key applications and latest research of artificial intelligence (AI) in 6G are discussed facilitating the dynamic spectrum allocation mechanism and mobile edge computing. Lastly, an in-depth study of the existing open issues and challenges in green 6G communication network technology, as well as review of solutions and potential research recommendations are also presented.     

RAD‐EI: A routing attack detection scheme for edge‐based Internet of Things environment

Internet of Things (IoT) offers various types of application services in different domains, such as “smart infrastructure, health‐care, critical infrastructure, and intelligent transportation system.” The name edge computing signifies a corner or edge in a network at which traffic enters or exits from the network. In edge computing, the data analysis task happens very close to the IoT smart sensors and devices. Edge computing can also speed up the analysis process, which allows decision makers to take action within a short duration of time. However, edge‐based IoT environment has several security and privacy issues similar to those for the cloud‐based IoT environment. Various types of attacks, such as “replay, man‐in‐the middle, impersonation, password guessing, routing attack, and other denial of service attacks” may be possible in edge‐based IoT environment. The routing attacker nodes have the capability to deviate and disrupt the normal flow of traffic. These malicious nodes do not send packets (messages) to the edge node and only send packets to its neighbor collaborator attacker nodes. Therefore, in the presence of such kind of routing attack, edge node does not get the information or sometimes it gets the partial information. This further affects the overall performance of communication of edge‐based IoT environment. In the presence of such an attack, the “throughput of the network” decreases, “end‐to‐end delay” increases, “packet delivery ratio” decreases, and other parameters also get affected. Consequently, it is important to provide solution for such kind of attack. In this paper, we design an intrusion detection scheme for the detection of routing attack in edge‐based IoT environment called as RAD‐EI. We simulate RAD‐EI using the widely used “NS2 simulator” to measure different network parameters. Furthermore, we provide the security analysis of RAD‐EI to prove its resilience against routing attacks. RAD‐EI accomplishes around 95.0% “detection rate” and 1.23% “false positive rate” that are notably better than other related existing schemes. In addition, RAD‐EI is efficient in terms of computation and communication costs. As a result, RAD‐EI is a good match for some critical and sensitive applications, such as smart security and surveillance system.     

基于5G医疗定制网的远程手术的实践与思考

“新基建”的加快实施,社会各界正紧紧抓住有利时机,充分发挥制度优势,凝心聚力,加快5G网络建设,推动5G应用扎实落地,将5G打造为加速数字化转型进程、助力经济高质量发展的重要引擎,为5G智慧医疗按下了快进键。首先,介绍了5G远程手术实践成效;其次,结合应用实践,介绍了5G远程手术实践应用场景、需求与痛点、研究理念、设计与实现、技术与方法并进行了实用分析;最后,给出相应的思考及未来展望。     

Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.