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| 1 | 物联网的核心本质——数据联网显示文摘物联网是各种智能设备、传感器及计算器件以自动控制方式集合起来的网络。在物联网中,大规模的设备将产生大量数据传输至中心系统进行处理,因此,物联网技术的关键在于找到高效的数据处理方法。研究了物联网实现中面临的主要数据难题,包括收集低功率数据、快速传输数据、准确分析数据和及时反馈数据等,并将数据作为实体组成了新的网络—数据联网。数据联网是物联网的核心本质,尤其在数据密集的应用中具有很强的研究价值。详细介绍了数据联网的概念和主要挑战,同时提出了一些可以应用在数据联网中的成熟技术,如大数据、数据挖掘及人工智能等。 | 张琦 杨浩 Tony Q.S.Quek 金石 朱洪波 | 2017 | 物联网学报2017，1，3： | 6 |
| 2 | Enabling Intelligence at Network Edge: An Overview of Federated Learning显示文摘The burgeoning advances in machine learning and wireless technologies are forg?ing a new paradigm for future networks, which are expected to possess higher degrees of in?telligence via the inference from vast dataset and being able to respond to local events in a timely manner. Due to the sheer volume of data generated by end-user devices, as well as the increasing concerns about sharing private information, a new branch of machine learn?ing models, namely federated learning, has emerged from the intersection of artificial intelli?gence and edge computing. In contrast to conventional machine learning methods, federated learning brings the models directly to the device for training, where only the resultant param?eters shall be sent to the edge servers. The local copies of the model on the devices bring along great advantages of eliminating network latency and preserving data privacy. Never?theless, to make federated learning possible, one needs to tackle new challenges that require a fundamental departure from standard methods designed for distributed optimizations. In this paper, we aim to deliver a comprehensive introduction of federated learning. Specifical?ly, we first survey the basis of federated learning, including its learning structure and the distinct features from conventional machine learning models. We then enumerate several critical issues associated with the deployment of federated learning in a wireless network, and show why and how technologies should be jointly integrated to facilitate the full imple?mentation from different perspectives, ranging from algorithmic design, on-device training, to communication resource management. Finally, we conclude by shedding light on some po?tential applications and future trends. | Howard H.YANG ZHAO Zhongyuan Tony Q.S.QUEK | 2020 | ZTE Communications2020，18，2： | 3 |
| 3 | Routing Protocol for Heterogeneous FANETs with Mobility Prediction显示文摘In recent years,with the growth in Unmanned Aerial Vehicles(UAVs),UAV-based systems have become popular in both military and civil applications.In these scenarios,the lack of reliable communication infrastructure has motivated UAVs to establish a network as flying nodes,also known as Flying Ad Hoc Networks(FANETs).However,in FANETs,the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology,making end-to-end connections in FANETs challenging.Mobility estimation and prediction of UAVs can address the challenge mentioned above since it can provide better routing planning and improve overall FANET performance in terms of continuous service availability.We thus develop a Software Defined Network(SDN)-based heterogeneous architecture for reliable communication in FANETs.In this architecture,we apply an Extended Kalman Filter(EKF)for accurate mobility estimation and prediction of UAVs.In particular,we formulate the routing problem in SDN-based Heterogeneous FANETs as a graph decision problem.As the problem is NP-hard,we further propose a Directional Particle Swarming Optimization(DPSO)approach to solve it.The extensive simulation results demonstrate that the proposed DPSO routing can exhibit superior performance in improving the goodput,packet delivery ratio,and delay. | Qihui Wu Min Zhang Chao Dong Yong Feng Yanli Yuan Simeng Feng Tony Q.S.Quek | 2022 | China Communications2022，19，1： | 3 |
| 4 | EDGE ARTIFICIAL INTELLIGENCE IN 6G SYSTEMS:THEORY,KEY TECHNIQUES,AND APPLICATIONS显示文摘As the permeation of artificial intelligence(AI)in wireless applications,some data-driven and computing-intensive services are emerging,such as mobile high-definition AR/VR,and real-time fingertip interactions.Moreover,the application scenarios have been extended to penetrate the vertical industry,which have multi-dimension and diverse quality of service(QoS)requirements.Recently,the research and the development of 6G have been triggered,and much higher QoS requirements of data rate,latency,and connectivity will be raised. | Zhongyuan Zhao Zhiguo Ding Tony Q.S.Quek Mugen Peng | 2020 | China Communications2020，17，8： | 2 |
| 5 | Physical Layer Security for UAV Communications:A Comprehensive Survey显示文摘Due to its high mobility and flexible deployment,unmanned aerial vehicle(UAV)is drawing unprecedented interest in both military and civil applications to enable agile and ubiquitous connectivity.Mainly operating in an open environment,UAV communications benefit from dominant line-of-sight links;however,this on the other hand renders the communications more vulnerable to malicious attacks.Recently,physical layer security(PLS)has been introduced to UAV systems as an important complement to the conventional cryptography-based approaches.In this paper,a comprehensive survey on the current achievements of UAV-PLS is conducted.We first introduce the basic concepts including typical static/-mobile UAV deployment scenarios,the unique air-toground channel and aerial nodes distribution models,as well as various roles that a UAV may act when PLS is concerned.Then,we start by reviewing the secrecy performance analysis and enhancing techniques for statically deployed UAV systems,and extend the discussion to the more general scenario where the UAVs’mobility is further exploited.For both cases,respectively,we summarize the commonly adopted methodologies,then describe important works in the litera ture in detail.Finally,potential research directions and challenges are discussed to provide an outlook for future works in the area of UAV-PLS. | Jue Wang Xuanxuan Wang Ruifeng Gao Chengleyang Lei Wei Feng Ning Ge Shi Jin Tony Q.S.Quek | 2022 | China Communications2022，19，9： | 2 |
| 6 | Matching while Learning: Wireless Scheduling for Age of Information Optimization at the Edge显示文摘In this paper,we investigate the minimization of age of information(AoI),a metric that measures the information freshness,at the network edge with unreliable wireless communications.Particularly,we consider a set of users transmitting status updates,which are collected by the user randomly over time,to an edge server through unreliable orthogonal channels.It begs a natural question:with random status update arrivals and obscure channel conditions,can we devise an intelligent scheduling policy that matches the users and channels to stabilize the queues of all users while minimizing the average AoI?To give an adequate answer,we define a bipartite graph and formulate a dynamic edge activation problem with stability constraints.Then,we propose an online matching while learning algorithm(MatL)and discuss its implementation for wireless scheduling.Finally,simulation results demonstrate that the MatL is reliable to learn the channel states and manage the users’buffers for fresher information at the edge. | Kun Guo Hao Yang Peng Yang Wei Feng Tony Q.S.Quek | 2023 | China Communications2023，20，3： | 1 |
| 7 | Theory and techniques for“intellicise”wireless networks显示文摘With the acceleration of a new round of global scientific,technological,and industrial revolution,the next generation of information and communication technology,i.e.,6G,will inject new momentum into industry transformation and upgrading,as well as into economic innovation and development.This will subsequently promote a global industrial integration.Wireless communication will be ubiquitous in all areas of future society,supporting novel applications with various performance requirements. | Ping ZHANG Mugen PENG Shuguang CUI Zhaoyang ZHANG Guoqiang MAO Zhi QUAN Tony Q.S.QUEK Bo RONG | 2022 | Frontiers of Information Technology & Electronic Engineering2022，23，1： | 1 |
| 8 | Maritime Communications in 5G and Beyond Networks显示文摘With the rapid development of marine activities,there has been an increasing use of Internet-of-Things(IoT) devices for maritime applications.This leads to a growing demand for high-speed and ultra-reliable maritime communications.Current maritime communication networks (MCNs) mainly rely on satellites and on-shore base stations (BSs).The former generally provides limited transmission rate while the latter lacks wide-area coverage capability.As a result,the development of current MCN lags far behind the terrestrial fifth-generation (5G) network. | Wei Feng Yunfei Chen Jing Li Yanmin Wang Tony Q.S.Quek | 2022 | China Communications2022，19，9： | 0 |
| 9 | Guest editorial显示文摘With the rapid deployment of 5G communication networks,the sixthgeneration(6G)mobile network has attracted extensive attention from academia,industry,and government agencies,devoting to identifying critical drivers,performance requirements,and technological innovations.The progress of 6G networks in enhanced mobile broadband,massive machine-type communications and ultra-reliable and lowlatency communications will promote the fast development of new services,e.g.,Augmented Reality(AR),Virtual Reality(VR),holographic communications,Vehicle-to-Everything(V2X),self-driving cars,massive connections.Different services would have different features and requirements.In order to adapt to the ever-changing services,6G should not only be intelligent and open to support full broadband services,but also enhance its capabilities compared with 5G.This will challenge 6G from various aspects,such as rate,delay,coverage,access,energy consumption,interaction,reliability,and degree of intelligence. | Tao Jiang Tony Q.S.Quek Zhiguo Ding Mugen Peng Yun Li | 2020 | Digital Communications and Networks2020，6，3： | 0 |
| 10 | On recommendation-aware content caching for 6G:An artificial intelligence and optimization empowered paradigm显示文摘Recommendation-aware Content Caching(RCC)at the edge enables a significant reduction of the network latency and the backhaul load,thereby invigorating ubiquitous latency-sensitive innovative services.However,the effectiveness of RCC strategies is highly dependent on explicit information as regards subscribers’content request patterns,the sophisticated caching placement policy,and the personalized recommendation tactics.In this article,we investigate how the potentials of Artificial Intelligence(AI)and optimization techniques can be harnessed to address those core issues and facilitate the full implementation of RCC for the upcoming intelligent 6G era.Towards this end,we first elaborate on the hierarchical RCC network architecture.Then,the devised AI and optimization empowered paradigm is introduced,whereas AI and optimization techniques are leveraged to predict the users’content preferences in real-time situations with the assistance of their historical behavior data and determine the cache pushing and recommendation decision,respectively.Through extensive case studies,we validate the effectiveness of AI-based predictors in estimating users’content preference and the superiority of optimized RCC policies over the conventional benchmarks.At last,we shed light on the opportunities and challenges in the future. | Yaru Fu Khai Nguyen Doan Tony Q.S.Quek | 2020 | Digital Communications and Networks2020，6，3： | 0 |
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