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arXiv 2021年

作者： Kaur, Divneet Mohammed, Bashir Kiran, Mariam Department of Electrical and Computer Engineering University of California San Diego San DiegoCA United States Computing Research Division Lawrence Berkeley National Laboratory BerkeleyCA United States Scientific Networking Division Lawrence Berkeley National Laboratory BerkeleyCA United States

Network performance monitoring collects heterogeneous data such as network flow data to give an overview of network performance, and other metrics, necessary for diagnosing and optimizing service quality. However, due to disparate and heterogeneity, to obtain metrics and visualize entire data from several devices, engineers have to log into multiple dashboards. In this paper we present NetGraf, a complete end-to-end network monitoring stack, that uses open-source network monitoring tools and collects, aggregates, and visualizes network measurements on a single easy-to-use real-time Grafana dashboard. We develop a novel NetGraf architecture and can deploy it on any network testbed such as Chameleon Cloud by single easy-to-use script for a full view of network performance in one dashboard. This paper contributes to the theme of automating open-source network monitoring tools software setups and their usability for researchers looking to deploy an end-to-end monitoring stack on their own testbeds. Copyright © 2021, The Authors. All rights reserved.

关键词： Network performance

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Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G

arXiv

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arXiv 2022年

作者： Zhu, Guangxu Lyu, Zhonghao Jiao, Xiang Liu, Peixi Chen, Mingzhe Xu, Jie Cui, Shuguang Zhang, Ping Shenzhen Research Institute of Big Data Shenzhen518172 China Shenzhen518172 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables33146 United States State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Peng Cheng Laboratory Shenzhen518066 China

Pushing artificial intelligence (AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things (AIoT) in the sixth-generation (6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the huge amount of data scattered at wireless network edge. In general, realizing edge intelligence corresponds to the process of sensing, communication, and computation, which are coupled ingredients for data generation, exchanging, and processing, respectively. However, conventional wireless networks design the sensing, communication, and computation separately in a task-agnostic manner, which encounters difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications such as auto-driving. This thus prompts a new design paradigm of seamless integrated sensing, communication, and computation (ISCC) in a task-oriented manner, which comprehensively accounts for the use of the data in the downstream AI applications. In view of its growing interest, this article provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art development, and shedding light on the road ahead. Copyright © 2022, The Authors. All rights reserved.

关键词： Artificial intelligence

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Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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Science China(Information Sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research Institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security

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Age-Upon-Decisions Minimizing Scheduling in Internet of Things: To Be Random or to Be Deterministic?

Age-Upon-Decisions Minimizing Scheduling in Internet of Thin...

引用

作者： Dong, Yunquan Chen, Zhengchuan Liu, Shanyun Fan, Pingyi Letaief, Khaled Ben School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing210044 China Key Laboratory of Dependable Service Computing in Cyber-Physical Society Ministry of Education Chongqing China Department of Electronic Engineering Tsinghua University Beijing China Department of Electrical and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China

In this article, we consider an Internet of Things (IoT) system in which a sensor delivers updates to a monitor with exponential service time and first-come-first-served (FCFS) discipline. We investigate the freshness of the received updates and propose a new metric termed as age upon decisions (AuD), which is defined as the time elapsed from the generation of each update to the epoch it is used to make decisions (e.g., estimations, inferences, and controls). Within this framework, we aim at improving the freshness of updates at decision epochs by scheduling the update arrival process and the decision-making process. The theoretical results show that: 1) when the decisions are made according to a Poisson process, the average AuD is independent of decision rate and will be minimized if the arrival process is periodic (i.e., deterministic);2) when both the decision process and the arrival process are periodic, the average AuD is larger, but decreases with decision rate to, the average AuD of the corresponding system with the Poisson decisions (i.e., random);and 3) when both the decision process and the arrival process are periodic, the average AuD can be further decreased by optimally controlling the offset between the two processes. For practical IoT systems, therefore, it is suggested to employ periodic arrival processes and random decision processes. Nevertheless, making the periodical updates and decisions with properly controlled offset is also a promising solution, if the timing information of the two processes can be accessed by the monitor. © 2014 IEEE.

关键词： Scheduling

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A Survey of Applications Research on Content-Centric networking

引用

China Communications 2019年第9期16卷 122-140页

作者： Xiuquan Qiao Hongyi Wang Wei Tan Athanasios V.Vasilakos Junliang Chen MBrian Blake State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Information Engineering College Henan University of Science and TechnologyLuoyang 471003China IBM T.J.Watson Research Center Yorktown HeightsNY 10598USA The Department of Electrical and Computer Engineering National Technical University of AthensAthens 157 80Greece College of Computing and Informatics Drexel UniversityPhiladelphiaPA 1904USA

As a named data-based clean-slate future Internet architecture,Content-Centric networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP *** CCN,communication is wholly driven by the data *** must send Interest packets with the content name and not by the host’s network *** nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works *** paper presents a comprehensive survey of state-of-the-art application research activities related to CCN *** main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.

关键词： Content-centric networking(CCN) named-data networking (NDN) applications information-centric networking future Internet

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Codebook-Based Beam Tracking for Conformal Array-Enabled UAV MmWave Networks

arXiv

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arXiv 2020年

作者： Zhang, Jinglin Xu, Wenjun Gao, Hui Pan, Miao Han, Zhu Zhang, Ping Key Lab of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

Millimeter wave (mmWave) communications can potentially meet the high data-rate requirements of unmanned aerial vehicle (UAV) networks. However, as the prerequisite of mmWave communications, the narrow directional beam tracking is very challenging because of the three-dimensional (3D) mobility and attitude variation of UAVs. Aiming to address the beam tracking difficulties, we propose to integrate the conformal array (CA) with the surface of each UAV, which enables the full spatial coverage and the agile beam tracking in highly dynamic UAV mmWave networks. More specifically, the key contributions of our work are three-fold. 1) A new mmWave beam tracking framework is established for the CA-enabled UAV mmWave network. 2) A specialized hierarchical codebook is constructed to drive the directional radiating element (DRE)-covered cylindrical conformal array (CCA), which contains both the angular beam pattern and the subarray pattern to fully utilize the potential of the CA. 3) A codebook-based multiuser beam tracking scheme is proposed, where the Gaussian process machine learning enabled UAV position/attitude predication is developed to improve the beam tracking efficiency in conjunction with the tracking-error aware adaptive beamwidth control. Simulation results validate the effectiveness of the proposed codebook-based beam tracking scheme in the CA-enabled UAV mmWave network, and demonstrate the advantages of CA over the conventional planner array in terms of spectrum efficiency and outage probability in the highly dynamic scenarios. Copyright © 2020, The Authors. All rights reserved.

关键词： Millimeter waves

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Quick and Accurate False Data Detection in Mobile Crowd Sensing

Quick and Accurate False Data Detection in Mobile Crowd Sens...

引用

IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Kun Xie Xiaocan Li Xin Wang Gaogang Xie Dongliang Xie Zhenyu Li Jigang Wen Zulong Diao College of Computer Science and Electronics Engineering Hunan University Changsha China Department of Electrical and Computer Engineering State University of New York at Stony Brook State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

With the proliferation of smartphones, a novel sensing paradigm called Mobile Crowd Sensing (MCS) has emerged very recently. However, the attacks and faults in MCS cause a serious false data problem. Observing the intrinsic low dimensionality of general monitoring data and the sparsity of false data, false data detection can be performed based on the separation of normal data and anomalies. Although the existing separation algorithm based on Direct Robust Matrix Factorization (DRMF) is proven to be effective, requiring iteratively performing Singular Value Decomposition (SVD) for low-rank matrix approximation would result in a prohibitively high accumulated computation cost when the data matrix is large. In this work, we observe the quick false data location feature from our empirical study of DRMF, based on which we propose an intelligent Light weight Low Rank and False Matrix Separation algorithm (LightLRFMS) that can reuse the previous result of the matrix decomposition to deduce the one for the current iteration step. Our algorithm can largely speed up the whole iteration process. From a theoretical perspective, we validate that LightLRFMS only requires one round of SVD computation and thus has very low computation cost. We have done extensive experiments using a PM 2.5 air condition trace and a road traffic trace. Our results demonstrate that LightLRFMS can achieve very good false data detection performance with the same highest detection accuracy as DRMF but with up to 10 times faster speed thanks to its lower computation cost.

关键词： Sparse matrices Sensors Matrix decomposition Monitoring Matrix converters Roads Wireless sensor networks

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Self-testing of symmetric three-qubit states

arXiv

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arXiv 2019年

作者： Li, Xinhui Wang, Yukun Han, Yunguang Gao, Fei Wen, Qiaoyan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical & Computer Engineering National University of Singapore Singapore117543 Singapore Department of Physics Center for Field Theory and Particle Physics Fudan University Shanghai200433 China State Key Laboratory of Surface Physics Fudan University Shanghai200433 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen518055 China

Self-testing refers to a device-independent way to uniquely identify the state and the measurement for uncharacterized quantum devices. The only information required comprises the number of measurements, the number of outputs of each measurement, and the statistics of each measurement. Earlier results on self-testing of multipartite state were restricted either to Dicke states or graph states. In this paper, we propose self-testing schemes for a large family of symmetric three-qubit states, namely the superposition of W state and GHZ state. We first propose and analytically prove a self-testing criterion for the special symmetric state with equal coefficients of the canonical basis, by designing subsystem self-testing of partially and maximally entangled state simultaneously. Then we demonstrate for the general case, the states can be self-tested numerically by the swap method combining semi-definite programming (SDP) in high precision. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum entanglement

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Yet Another Robot Application?

引用

IEEE ROBOTICS & AUTOMATION MAGAZINE 2016年第2期23卷 12-+页

作者： Salvini, Pericle Korsah, Ayorkor Nourbakhsh, Illah Department of Computer Architecture and Automation Computer Science Faculty Complutense University of Madrid c∖José García Santesmases s∖n Madrid Spain Key Laboratory of Dependable Service Computing in the Cyber Physical Society of the Ministry of Education Chongqing University and the College of Automation Chongqing University Chongqing China School of Automation Chongqing University Chongqing China Department of Electrical Engineering and Computer Science Northwestern University Evanston IL School of Electrical and Electronic Engineering Nanyang Technological University Singapore

The articles in this special section is to find out what lies beyond the fascination toward robots that we have inherited from popular culture, the pleasure of learning with robots derived from the gamification of learning, and the strong appeal for robotics technologies given by its aura of innovation. Are there authentic ways in which robotics can improve education, and what affordances does robotics, in particular, provide for such educational transformation? Indeed, one of the biggest gray areas of educational robotics concerns the lack of empirical evidence on the educational (pedagogical as well as psychological) effectiveness of robots that is related to both the lack of standardized evaluation criteria and the methodological difficulties in conducting sound scientific tests.

关键词： Special issues and sections Robots computer applications Technology forecasting engineering education STEM Education Programming

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Glucose Oxidase Sensing: 3D Macroporous Zinc Compound/Silicone Hybrid Foams for Amperometric Sensing of Glucose Oxidase (Global Challenges 2/2019)

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Global Challenges 2019年第2期3卷 1970021-1970021页

作者： Ye Wu Hao Fu Weiwei Xie Yingcheng Lin Orhan Kizilkaya Jian Xu Division of Electrical and Computer Engineering Louisiana State University Baton Rouge LA 70803 USA Department of Mechanical Engineering Mcgill University 817 Sherbrooke St. West Montreal Quebec H3A 0C3 Canada Department of Chemistry Louisiana State University Baton Rouge LA 70803 USA Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) of Ministry of Education Chongqing 400044 China College of Communication Engineering Chongqing University Chongqing 400044 China Center for Advanced Microstructures and Devices Louisiana State University 6980 Jefferson Hwy. Baton Rouge LA 70806 USA

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