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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Liang Li Xinyue Zhang Ronghui Hou Hao Yue Hui Li Miao Pan School of Cyber Engineering Xidian University P. R. China Science and Technology on Communication Networks Laboratory Department of Electrical and Computer Engineering University of Houston Houston TX Department of Computer Science San Francisco State University San Francisco CA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Mobile crowdsensing is recognized to be a promising paradigm wherein location-based sensing tasks are outsourced to participants carrying mobile devices. A prominent issue of crowdsensing is to guarantee the sensing coverage by appropriately recruiting participating devices, which requires the disclosure of participants' locations and leads to potential location privacy threats. In this paper, we aim to develop a privacy-preserving participant recruiting scheme for mobile crowdsensing, which guarantees the crowdsensing coverage while preserving participants' location differential privacy against a semi-honest crowdsensing aggregator. Briefly, based on the differential private geo-indistinguishability method, we enable candidate participants to locally perturb their location data. With the obfuscated location information, we formulate the crowdsensing coverage optimization as an Integer Program (IP), and develop a 1-(1 - 1/f) f -approximation algorithm, which yields a near-optimal participant recruiting solution. Through extensive simulations, we demonstrate the tradeoff between privacy preservation and crowdsensing utility, and show that satisfactory crowdsensing coverage can be achieved while preserving the participants' differential location privacy.

关键词： Privacy Sensors Task analysis Recruitment Approximation algorithms Monitoring

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Smith-Purcell radiation from time grating

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Newton 2025年第2期1卷

作者： Juan-Feng Zhu Ayan Nussupbekov Yudi Fan Wenjie Zhou Zicheng Song Xuchen Wang Zi-Wen Zhang Chao-Hai Du Xianlong Wei Ping Bai Ching Eng Png Cheng-Wei Qiu Lin Wu Science Mathematics and Technology Singapore University of Technology and Design 8 Somapah Road Singapore 487372 Singapore Institute of High Performance Computing Agency for Science Technology and Research (A∗STAR) 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Singapore Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Singapore Center for Composite Materials and Structures School of Astronautics Harbin Institute of Technology Harbin China Institute of Nanotechnology Karlsruhe Institute of Technology Karlsruhe Germany Optical Communication Systems and Networks School of Electronics Peking University Beijing China Key Laboratory for the Physics and Chemistry of Nanodevices School of Electronics Peking University Beijing China

Smith-Purcell radiation (SPR) arises when an electron moves above a spatial grating, where fixed momentum compensation constrains the emission wavelength. In contrast, temporal SPR ( t -SPR) utilizes a time grating to leverage temporal periodicity for energy compensation, enabling more flexible radiation control. We introduce a generalized dispersion equation for t -SPR that predicts the interplay between radiation frequency, direction, electron velocity, modulation period, and harmonic orders. t -SPR offers several advantages over conventional SPR: robustness ( t -SPR maintains stable emission intensity without rapid decay as the electron moves away from the time grating), versatility ( t -SPR enables precise control via temporal modulation of period, amplitude, and waveform), and amplified emission (temporal modulation introduces additional energy channels, boosting emission). These features make t -SPR highly promising for advanced applications in on-chip light sources and electron accelerators.

关键词： Smith-Purcell radiation time grating photonic time crystal free-electron radiation

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Backscatter-Based Cooperative NOMA

Backscatter-Based Cooperative NOMA

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Weiyu Chen Haiyang Ding Shilian Wang Daniel Benevides da Costa Fengkui Gong Pedro Henrique Juliano Nardelli College of Electronic Science and Technology National University of Defence Technology Changsha China College of Information and Communication National University of Defence Technology Xi’an China Department of Computer Engineering Federal University of Ceará Sobral CE Brazil State Key Laboratory of Integrated Service Networks Xidian University Xi’an China School of Energy Systems Lappeenranta University of Technology Lappeenranta Finland

ISBN: (数字)9781728144900

ISBN: (纸本)9781728144917

A backscatter cooperation (BC) mechanism is pro-posed for power-domain non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate its performance, three benchmark schemes are introduced. They are non-cooperation (NC)-NOMA, conventional relaying (CR)-NOMA, and incremental relaying (IR)-NOMA. For all these schemes, the analytical expressions of the minimum total power to avoid information outage are derived, based on which their respective outage performance, expected rates, and diversity-multiplexing trade-off (DMT) are investigated. Analytical results show that the proposed BC-NOMA strictly outperforms NC-NOMA in terms of all the three metrics. Furthermore, theoretical analyses are validated via Monte-Carlo simulations. It is shown that compared with CR/IR-NOMA, only the proposed BC-NOMA scheme can enhance the transmission reliability without impairing the transmission rate.

关键词： NOMA Backscatter Signal to noise ratio Interference Downlink Decoding Fading channels

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Backscatter cooperation in NOMA communications systems

arXiv

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arXiv 2020年

作者： Chen, Weiyu Ding, Haiyang Wang, Shilian Costa, Daniel Benevides da Gong, Fengkui Nardelli, Pedro Henrique Juliano College of Electronic Science and Technology National University of Defense Technology Changsha China College of Information and Communication National University of Defense Technology Xi’an China Department of Computer Engineering Federal University of Ceará Sobral CE Brazil State Key Laboratory of Integrated Service Networks Xidian University Xi’an China School of Energy Systems Lappeenranta University of Technology Lappeenranta Finland

In this paper, a backscatter cooperation (BC) scheme is proposed for non-orthogonal multiple access (NOMA) downlink transmission. The key idea is to enable one user to split and then backscatter part of its received signals to improve the reception at another user. To evaluate the performance of the proposed BC-NOMA scheme, three benchmark schemes are introduced. They are the non-cooperation (NC)-NOMA scheme, the conventional relaying (CR)-NOMA scheme, and the incremental relaying (IR)NOMA scheme. For all these schemes, the analytical expressions of the minimum total power to avoid information outage are derived, based on which their respective outage performance, expected rates, and diversity-multiplexing trade-off (DMT) are investigated. Analytical results show that the proposed BC-NOMA scheme strictly outperforms the NC-NOMA scheme in terms of all the three metrics. Furthermore, theoretical analyses are validated via Monte-Carlo simulations. It is shown that unlike the CR-NOMA scheme and the IR-NOMA scheme, the proposed BC-NOMA scheme can enhance the Copyright © 2020, The Authors. All rights reserved.

关键词： Backscattering

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Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

arXiv

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arXiv 2019年

作者： Ruby, Rukhsana Zhong, Shuxin Ng, Derrick Wing Kwan Wu, Kaishun Leung, Victor C.M. College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong518060 China School of Electrical Engineering and Telecommunications University of New South Wales Australia Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China

Non-orthogonal multiple access (NOMA) technique has the ability to support multiple transmissions simultaneously using the same physical resource, the idea of which achieves much enhanced performance for a system compared to the conventional orthogonal multiple access (OMA) techniques. Despite numerous advantages, this phenomenon of NOMA technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of the system is not properly optimized. While targeting on the green communication concept, in this paper, we propose an energy-efficient downlink resource allocation scheme for a NOMA-equipped cellular network. The objective of this work is to allocate subchannels and power of the base station among the users so that the overall energy efficiency is maximized. Since this problem is NP-hard, we attempt to find an elegant solution with reasonable complexity that provides good performance for some realistic applications. To this end, we decompose the problem into a subchannel allocation subproblem followed by a power loading subproblem that allocates power to each user's data stream on each of its allocated subchannels. We first employ a many-to-many matching model under the assumption of uniform power loading in order to obtain the solution of the first subproblem with reasonable performance. Once the the subchanneluser mapping information is known from the first solution, we propose a geometric programming (GP)-based power loading scheme upon approximating the energy efficiency of the system by a ratio of two posynomials. The techniques adopted for these subproblems better exploit the available multi-user diversity compared to the techniques used in an earlier work. Having observed the computational overhead of the GP-based power loading scheme, we also propose a suboptimal computationally-efficient algorithm for the power loading subproblem with a polynomial time complexity that provides reasonably good performance. Extens

关键词： Energy efficiency

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EDGE AI for Heterogeneous and Massive IoT networks

EDGE AI for Heterogeneous and Massive IoT Networks

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International Conference on Communication Technology (ICCT)

作者： Sifan Chen Peng Gong Bin Wang Alagan Anpalagan Mohsen Guizani Chungang Yang State Key Laboratory on Integrated Services Networks Xidian University Xi’an China Beijing Institute of Technology Beijing China School of Communication Engineering Xi’an University of Science and Technology Xi’an China Department of Electrical and Computer Engineering Ryerson University Toronto Canada Computer Science and Engineering Department Qatar University Qatar

By combining multiple sensing and wireless access technologies, the Internet of Things (IoT) shall exhibit features with large-scale, massive, and heterogeneous sensors and data. To integrate diverse radio access technologies, we present the architecture of heterogeneous IoT system for smart industrial parks and build an IoT experimental platform. Various sensors are installed on the IoT devices deployed on the experimental platform. To efficiently process the raw sensor data and realize edge artificial intelligence (AI), we describe four statistical features of the raw sensor data that can be effectively extracted and processed at the network edge in real time. The statistical features are calculated and fed into a back-propagation neural network (BPNN) for sensor data classification. By comparing to the k-nearest neighbor classification algorithm, we examine the BPNN-based classification method with a great amount of raw data gathered from various sensors. We evaluate the system performance according to the classification accuracy of BPNN and the performance indicators of the cloud server, which shows that the proposed approach can effectively enable the edge-AI-based heterogeneous IoT system to process the sensor data at the network edge in real time while reducing the demand for computing and network resources of the cloud.

关键词： Internet of Things Cloud computing Intelligent sensors Sensor phenomena and characterization Zigbee Feature extraction

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The fusion of satellite and unmanned aerial vehicle (UAV) imagery for improving classification performance

The fusion of satellite and unmanned aerial vehicle (UAV) im...

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2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Zou, Yujiao Li, Guangming Wang, Shuai School of Mechanical Electrical and Information Engineering Shandong University Weihai264209 China Shandong Computer Science Center National Supercomputer Center in Jinan Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China

ISBN: (纸本)9781538680698

In recent years, Unmanned Aerial Vehicle (UAV) technology has made rapid progress, and it is becoming an important way to obtain regional vegetation types due to its characteristics of being flexible, comprehensive and dynamic. UAV-based data recognition technology can make full use of geometry and texture information in images, which is benefit to interpret the attribute characteristics of ground objects. Compared to satellite data, spectral information in UAV data is less detailed. This paper aims to increase the spectral information of UAV data, which helps to improve the accuracy of classification and recognition. For such purpose, data fusion of UAV images and satellite multispectral images is performed. In order to verify the effectiveness of the fused data, three classification algorithms are tested for comparison, which include Support Vector Machine (SVM), Artificial Neural Network (ANN) and Maximum Likelihood (ML). The accuracy of the classification result is evaluated by real ground sampling data. The result shows that, compared to the original UAV data, the classification accuracy of the fused data is significantly improved. © 2018 IEEE.

关键词： Classification (of information)

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Machine learning in iot security: Current solutions and future challenges

arXiv

引用

arXiv 2019年

作者： Hussain, Fatima Hussain, Rasheed Hassan, Syed Ali Hossain, Ekram API Operation and Delivery Squad Royal Bank of Canada Toronto Canada Networks and Blockchain Laboratory Innopolis University Innopolis Russia Pakistan Department of Electrical and Computer Engineering University of Manitoba Winnipeg Canada

The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives. The participating nodes in IoT networks are usually resourceconstrained, which makes them luring targets for cyber attacks. In this regard, extensive efforts have been made to address the security and privacy issues in IoT networks primarily through traditional cryptographic approaches. However, the unique characteristics of IoT nodes render the existing solutions insufficient to encompass the entire security spectrum of the IoT networks. This is, at least in part, because of the resource constraints, heterogeneity, massive real-time data generated by the IoT devices, and the extensively dynamic behavior of the networks. Therefore, Machine Learning (ML) and Deep Learning (DL) techniques, which are able to provide embedded intelligence in the IoT devices and networks, are leveraged to cope with different security problems. In this paper, we systematically review the security requirements, attack vectors, and the current security solutions for the IoT networks. We then shed light on the gaps in these security solutions that call for ML and DL approaches. We also discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks. At last, based on the detailed investigation of the existing solutions in the literature, we discuss the future research directions for ML-and DL-based IoT security. Copyright © 2019, The Authors. All rights reserved.

关键词： Internet of things

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Multi-level virtual desktop security enhancement technology based on Docker and X server 18

Multi-level virtual desktop security enhancement technology ...

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2018 the International Conference on Geoinformatics and Data Analysis, ICGDA 2018 and 2018 the International Conference on Software and Services engineering, ICSSE 2018

作者： Luan, Guangqiang Bai, Yuebin Yu, Chao Zhang, Xudong Wang, Rui Huo, Longshe School of Computer Science and Engineering Beihang University China Science and Technology on Communication Networks Laboratory Shijiazhuang China China Unicom Network Technology Research Institute Beijing China

ISBN: (纸本)9781450364454

With the development of virtualization technology, desktop virtualization is becoming more and more mature. Desktop virtualization can effectively isolate the use of users and the management of the system, but in the access to virtual desktops, its security has become a key factor which can’t be ignored. In this paper, we propose a set of technologies that enhance the security of virtual desktops and can effectively secure virtual desktops from multiple levels. We improve the spice protocol and implement the multi-level access mechanism of users and virtual desktops. The Docker technology is used to implement the isolation of the communication, storage and network between the virtual desktop processes. Based on the X server mechanism, we isolate the virtual desktop client from GUI Level. The experimental results have shown the effects from various aspects, as well as differences in performance with the original client. © 2018 Association for Computing Machinery.

关键词： Virtual reality

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Pseudo pilot-aided OFDM system with high spectral efficiency for high performance coaxial transmission

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Science China(Information Sciences) 2017年第6期60卷 191-199页

作者： Yue LIU Chuanchuan YANG Hongbin LI State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University

High performance network over coax(HINOC) has become next-generation broadcasting network(NGB) industry standard of China, as well as International Telecommunication Union(ITU) telecommunication standard, which adopts orthogonal frequency division multiplexing(OFDM) technique and high order modulation formats. As is known, in OFDM system, phase noise destroys the orthogonality of the subcarriers and degrades the performance of the system especially when the data are transmitted in high order modulation formats. In this paper, we propose a high spectral efficiency OFDM system utilizing a novel and almost blind phase noise compensation method mainly used for high performance coaxial transmission. In our system, some subcarriers, which remain to transmit unknown useful data in lower order modulation formats, are selected as pseudo pilots instead of pilots to suppress phase noise effectively and high spectral efficiency can be achieved with the aid of puncturing mechanisms. Simulation results show that the proposed pseudo pilot-aided OFDM system can achieve the performance of the pilot-aided counterpart yet acquiring higher spectral efficiency.

关键词： orthogonal frequency division multiplexing(OFDM) high performance network over coax(HINOC) phase noise pseudo pilots broadcasting

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