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Science China(Information Sciences) 2025年第1期 4-22页

作者： Xiaohu YOU Yongming HUANG Cheng ZHANG Jiaheng WANG Hao YIN hequan wu National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories Chinese Academy of Military Science China Information Communication Technologies Group

Sixth-generation(6G) networks are anticipated to achieve transformative advancements, characterized by extreme connectivity, deep integration with artificial intelligence(AI) and sensing, and airground integration. The evolution of 6G exhibits two major trends: ubiquitous intelligence and sustainability. The former aims to embed state-of-the-art AI technology into the 6G network, from the physical layers to applications, while the latter emphasizes reducing energy consumption while enhancing network performance to address environmental concerns. Despite the amazing progress in recent years, AI advancements come with substantial increases in data and computational overhead, posing critical challenges for integrating AI into sustainable 6G networks. First, high energy consumption from large datasets and heavyweight AI models contradicts6G's green goals. Second, the precise collection of large datasets, message delivery latency, and inference delays in AI models pose challenges for real-time tasks in 6G. Third, the uninterpretability and unpredictability of AI models complicate meeting the stringent requirements for controllable transmission in dynamic wireless environments. Addressing these challenges and achieving sustainable 6G with ubiquitous intelligence calls for a revolutionary design of 6G architecture and AI frameworks. To this end, this paper introduces a novel and practical methodology for green, real-time, and controllable 6G native intelligence,starting with knowledge graph(KG) analysis to extract small but critical datasets, followed by the development of distributed lightweight AI models, and the use of digital twins(DTs) to create precise replicas of physical 6G networks. This leads to a pervasive multi-level(PML)-AI framework supported by a task-centric, three-layer 6G architecture. The AI framework operates through non-real-time and real-time cycles, leveraging three key technologies: wireless data KGs for efficient data management,lightweight AI mode

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AI for 5G: research directions and paradigms

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Science China(Information Sciences) 2019年第2期62卷 5-17页

作者： Xiaohu YOU Chuan ZHANG Xiaosi TAN Shi JIN hequan wu National Mobile Communications Research Laboratory Southeast University Chinese Academy of Engineering

Wireless communication technologies such as fifth generation mobile networks(5 G) will not only provide an increase of 1000 times in Internet traffic in the next decade but will also offer the underlying technologies to entire industries to support Internet of things(IOT) technologies. Compared to existing mobile communication techniques, 5 G has more varied applications and its corresponding system design is more complicated. The resurgence of artificial intelligence(AI) techniques offers an alternative option that is possibly superior to traditional ideas and performance. Typical and potential research directions related to the promising contributions that can be achieved through AI must be identified, evaluated, and *** this end, this study provides an overview that first combs through several promising research directions in AI for 5 G technologies based on an understanding of the key technologies in 5 G. In addition, the study focuses on providing design paradigms including 5 G network optimization, optimal resource allocation, 5 G physical layer unified acceleration, end-to-end physical layer joint optimization, and so on.

关键词： 5G mobile communication AI techniques network optimization resource allocation unified acceleration end-to-end joint optimization

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Green ICT Impact on Energy Conservation and Emission Reduction

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China Communications 2008年第3期5卷 79-84页

作者： wu hequan Chinese Academy of Engineering, Beijing, 100088, China Chinese Acad Engn Beijing 100088 Peoples R China

The direct and indirect effect of ICT on energy conservation and emission reduction is described. The energy consumption per unit GDP in the ICT industry is lower than that in other industries. The application of ICT in such fi elds as industrial design, manufacturing, management, logistics, sales and service can be helpful for energy conservation and emission reduction in the industrial and transportations industry; however, the issue of energy waste and environmental pollution caused by voluminous deployment of ICT products should never be overlooked. This paper presents the lat- est development of communications products in energy conservation and exemplifi es the roles of ICT in energy conservation and consumption reduction. The issue of electromagnetic radiation of ICT products and the recycling and reuse of e-wastes are explored.

关键词： ICT energy conservation emission reduc-tion Green ICT

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Message from the Guest Editor for the Special Issue

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China Communications 2011年第6期8卷 I0001-I0003页

作者： wu hequan

The Internet of things (IoT) has received great attention all over the world,and its development has been adopted as a national strategy in China,the US,*** what on the earth is IoT?What are the relationships among th... 详细信息

关键词：编辑网络应用物联网互联网公共服务国际竞争产业化 IOT

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True-data testbed for 5G/B5G intelligent network

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Intelligent and Converged Networks 2021年第2期2卷 133-149页

作者： Yongming Huang Shengheng Liu Cheng Zhang Xiaohu You hequan wu National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 211111China China Information and Communication Technology Group Corporation Beijing 100083China

Future beyond fifth-generation(B5G)and sixth-generation(6G)mobile communications will shift from facilitating interpersonal communications to supporting internet of everything(IoE),where intelligent communications with full integration of big data and artificial intelligence(AI)will play an important role in improving network efficiency and providing high-quality *** a rapid evolving paradigm,the AI-empowered mobile communications demand large amounts of data acquired from real network environment for systematic test and ***,we build the world’s first true-data testbed for 5G/B5G intelligent network(TTIN),which comprises 5G/B5G on-site experimental networks,data acquisition&data warehouse,and AI engine&network *** the TTIN,true network data acquisition,storage,standardization,and analysis are available,which enable system-level online verification of B5G/6G-orientated key technologies and support data-driven network optimization through the closed-loop control *** paper elaborates on the system architecture and module design of *** technical specifications and some of the established use cases are also showcased.

关键词： true-data testbed wireless communication networks artificial intelligence(AI) big data internet of everything(IoE)

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Ten Reflections on 5G

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ZTE Communications 2020年第1期18卷 1-4页

作者： wu hequan China Information Communication Technologies Group Corporation Beijing 100083China

5G takes the concept of service-oriented architecture to replace the priority principle of network efficiency in the Internet to meet requirements of the industrial Internet and smart cities,such as high reliability and low *** the other hand,in order to adapt to the uncertainty of future business,5G features the openness of services and the Internet protocols,different from the closeness of traditional telecommunication *** 5G tries to have the advantages of both the Internet and telecommunication network,its realization still faces many *** this paper,ten major issues concerning 5G networking and service offering are discussed.

关键词： 5G Software Defined Networking(SDN) Network Func⁃tions Virtualization(NFV) network slice Service-Based Architecture(SBA) Mobile Edge Computing(MEC)

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Chinese Tri-Network Convergence:Characteristics and Challenges

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ZTE Communications 2011年第1期9卷 1-2页

作者： hequan wu Chinese Academy of Engineering (CAE)

Editor＇s Desk： Tri-network convergence is becoming a hot topic as interest in 3G, the Internet of things, and cloud computing continues to grow. Most countries now place great emphasis on tri-network convergence and one after the other have prioritized it as a means of developing new strategic sectors. With the arrival of 2011, our magazine has the honor of inviting Mr. hequan wu, a telecommunications expert from the Chinese Academy of Engineering to deliver a tri-network convergence in China.

关键词： In IPTV Chinese Tri-Network Convergence

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数字机遇与创新生态

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科技导报 2021年第2期39卷 42-47页

作者：邬贺铨中国信息通信科技集团有限公司北京100083

1信息化时代仍将延续1990年,互联网开始商用标志着人类社会进入信息化时代。信息化已经发展了40年,是否要转型到下一个时代了?笔者认为信息化还会持续,信息化伴随的信息化时代也将会持续很长时间,可能会延续到21世纪末。数字技术的基础... 详细信息

1信息化时代仍将延续1990年,互联网开始商用标志着人类社会进入信息化时代。信息化已经发展了40年,是否要转型到下一个时代了?笔者认为信息化还会持续,信息化伴随的信息化时代也将会持续很长时间,可能会延续到21世纪末。数字技术的基础首先是微电子技术,微电子技术经过几十年的演进还维持着摩尔定律。

关键词：创新生态摩尔定律微电子技术信息化互联网数字机遇 21世纪持续

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聚数融智的应用与挑战

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重庆邮电大学学报（自然科学版） 2021年第1期33卷 1-6页

作者：邬贺铨中国工程院北京100088

数据的融合与应用与日常生活有着多方面的联系,尤其是在大数据和智能化时代,促进多元异构数据的融合和智能化的数据处理,对发挥数据作为生产要素的作用具有十分重要的理论意义和实际价值。介绍了大数据在城市、交通、医疗、电商等领域... 详细信息

数据的融合与应用与日常生活有着多方面的联系,尤其是在大数据和智能化时代,促进多元异构数据的融合和智能化的数据处理,对发挥数据作为生产要素的作用具有十分重要的理论意义和实际价值。介绍了大数据在城市、交通、医疗、电商等领域的融合及可视化应用。重点说明了海量数据、小数据分析面临的难题,并讨论了人与数据融合、数据融合共享与商密保护、开源软件与数据安全管理、数据融合中AI技术的两面性等挑战。

关键词：数据融合数据安全数据智能分析

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大模型融入云平台,信息化走向数智化

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重庆邮电大学学报（自然科学版） 2024年第1期36卷 1-8页

作者：邬贺铨中国工程院北京100088

随着人工智能的快速发展,大模型已逐渐发挥其关键作用,成为驱动企业数字化转型的重要力量。主要探寻了大模型崛起引发的众多变革,回溯了人工智能的发展轨迹,分析了自建基础大模型所面临的挑战,强调引入基础大模型提供方需要与垂直行业... 详细信息

随着人工智能的快速发展,大模型已逐渐发挥其关键作用,成为驱动企业数字化转型的重要力量。主要探寻了大模型崛起引发的众多变革,回溯了人工智能的发展轨迹,分析了自建基础大模型所面临的挑战,强调引入基础大模型提供方需要与垂直行业企业联手,合作开发行业大模型。针对中小型企业在开发行业大模型时所面临的困扰,提出“模型即服务”及其相关工具链可以通过协助微调形成专有企业模型的观点;探讨了大模型兴起对云服务产生的变革;对云网协同、算网融合以及人工智能加速数智化发展进行了深入分析。在数字经济时代的背景下,进一步分析了人工智能如何赋能新一代信息技术创新。目前正处于国际经济发展调整期、信息化向数字化的演进期及网络技术创新的加速期,大宽带、大连接、大数据、大平台、大模型、大智能正在快速地融合发展。

关键词：人工智能大模型云服务云网协同算网融合

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