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IEEE Global Communications Conference

作者： Mingzhe Chen Omid Semiari Walid Saad Xuanlin Liu Changchuan Yin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Department of Electrical Engineering Princeton University Princeton NJ USA The Future Network of Intelligence Institute The Chinese University of Hong Kong Shenzhen China Department of Electrical and Computer Engineering University of Colorado Colorado Springs CO USA Bradley Department of Electrical and Computer Engineering Wireless@VT Virginia Tech Blacksburg VA USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIPs) that can detach the users from their virtual world. To measure the BIPs for wireless VR users, a novel model that jointly considers the VR applications, transmission delay, VR video quality, and users' awareness of the virtual environment is proposed. In the developed model, the base stations (BSs) transmit VR videos to the wireless VR users using directional transmission links so as to increase the data rate of VR users, thus, reducing the number of BIPs for each user. Therefore, the mobility and orientation of VR users must be considered when minimizing BIPs, since the body movements of a VR user may result in blockage of its wireless link. The BIP problem is formulated as an optimization problem which jointly considers the predictions of users' mobility patterns, orientations, and their BS association. To predict the orientation and mobility patterns of VR users, a distributed learning algorithm based on the machine learning framework of deep echo state networks (ESNs) is proposed. The proposed algorithm uses concept from federated learning to enable multiple BSs to locally train their deep ESNs using their collected data and cooperatively build a learning model to predict the entire users' mobility patterns and orientations. Using these predictions, the user association policy that minimizes BIPs is derived. Simulation results demonstrate that the developed algorithm reduces the users' BIPs by up to 16% and 26%, respectively, compared to centralized ESN and deep learning algorithms.

关键词： Wireless communication Wireless sensor networks Delays Uplink Downlink Prediction algorithms Machine learning

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Research on K Anonymity Algorithm based on Association Analysis of Data Utility 2

Research on K Anonymity Algorithm based on Association Analy...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Yuanxiunan Gao Tao Luo Jianfeng Li Cong Wang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Software College Beijing University of Posts and Telecommunications

More and more medical data are shared, which leads to disclosure of personal privacy information. Therefore, the construction of medical data privacy preserving publishing model is of great value: not

ISBN: (纸本)9781467389808

关键词： Algorithm design and analysis Correlation coefficient Data privacy Principal component analysis Optimization Correlation Publishing

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A Channel-level Pruning Strategy for Convolutional Layers in CNNs

A Channel-level Pruning Strategy for Convolutional Layers in...

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IEEE International Conference on network Infrastructure and Digital Content (IC-NIDC)

作者： Fangzhou Song Ying Wang Yao Guo Chuang Zhu Jun Liu Mulan Jin Beijing Key Laboratory of Network System Architecture and Convergence China Center for Data Science Beijing China Chaoyang Hospital of Capital Medical University Beijing China

A large number of parameters and computing operations of deep convolutional neural networks(CNNs) make it hinder to apply them to real-world scenarios. In this paper, we propose a channel-level pruning strategy for convolutional layers to reduce the number of parameters and computing operations in CNNs with no accuracy loss. First, we use “Squeeze-and-Excitation” block to extract the activation factors of each sample, which can be used to evaluate the importance of each channel. Second, we compute the overall weight of a specific channel by accumulating its activation factors generated by all training samples. Finally, we prune the redundant channels with low weight and thus yield compact network. On a colorectal pathology dataset, we reduce the number of channels and the convolution layer parameters by a factor of 5× and 21×, without any accuracy loss.

关键词： Convolution Training Pathology Redundancy Computational modeling Convolutional neural networks

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Location-Aware Hypergraph Coloring Based Spectrum Allocation for D2D Communication

Location-Aware Hypergraph Coloring Based Spectrum Allocation...

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International Symposium on Wireless Communication systems (ISWCS)

作者： Zheng Li Shuo Chen Caili Guo Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

Device-to-device (D2D) communication underlaying cellular networks has been recognized as a promising technique to improve spectrum efficiency. However, densely deployed D2D pairs could cause severe interference to cellular user equipments (CUEs) without proper spectrum allocation. Since the CUEs are the primary users of the spectrum band, the quality of service(QoS) of CUEs should be guaranteed. Therefore, the location-aware hypergraph coloring (LAHC) based spectrum allocation algorithm is proposed in uplink D2D underlaying cellular networks. For a particular CUE, the entire cell area is divided into location-aware regions. A set of D2D pairs identified by these regions are limited when sharing spectrum with the CUE to protect the CUE from connection interruption. In addition, we study spectrum allocation using hypergraph coloring method to eliminate cumulative interference from multiple D2D pairs. Simulation indicates that the proposed spectrum allocation algorithm can both guarantee that D2D links will not cause service disruption to CUEs and significantly improve the system capacity.

关键词： Device-to-device communication Interference Resource management Cellular networks Receivers Transmitters Channel allocation

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Polarization-based Cross-tier Interference Alignment in Cognitive Heterogeneous Cellular network

Polarization-based Cross-tier Interference Alignment in Cogn...

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International Symposium on Wireless Communication systems (ISWCS)

作者： Xiaofang Gao Caili Guo Shuo Chen Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

To eliminate the cross-tier interference and optimize the bit-error-rate performance of small cell for downlink underlay cognitive heterogeneous cellular network, a novel polarization-based cross-tier interference alignment scheme is proposed in this paper by exploiting the polarization resource of two-tier network. The transmitting and receiving polarization states of small cell are designed by interference alignment-like behaviors of the minimum total mean squared error optimization model under interference power constraint. An analytical and noncooperative closed form solution is provided for the model. Simulation results show the proposed scheme outperforms the existing schemes in bit-error-rate performance of small cell while keeping the maximum sum rate of overall system. And the tradeoff between bit-error-rate performances of macro cell and small cell is also evaluated.

关键词： Interference Microprocessors Computer architecture Antennas Optimization Wireless communication Transmitters

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Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning

Low-Rank and Joint-Sparse Signal Recovery for Spatially and ...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yanbin Zhang Yangqing Li Changchuan Yin Kesen He Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 P. R. China

ISBN: (纸本)9781538646595

In order to meet the demands of data-intensive continuous monitoring in wireless body area network, we address a structured sparse signal recovery method to exploit both spatial and temporal correlations in data using compressive sensing (CS). Using a simultaneously low-rank and joint-sparse (L&S) signal model, we employ a Bayesian learning treatment by incorporating an L&S-inducing prior over the data and the appropriate hyperpriors over all hyperparameters, resulting in effective reconstruction of the L&S data. Simulation results suggest that the proposed L&S-bSBL is superior to the state-of-the-art recovery methods in terms of computation burden and runtime cost.

关键词： Wireless Body Area network Bayesian Learning Compressive Sensing Low-rank and Joint-sparse Bayesian learning Compressed sensing body area networks signals

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Impedance Measurement of RFID Tag Antenna Based on Different Methods 5

Impedance Measurement of RFID Tag Antenna Based on Different...

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The 5th International Symposium on Electromagnetic Compatibility

作者： Chenwei Cai Weijun Hong Li Deng Shufang Li Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509051861;9781509051854

RFTD tag antennas use balanced feeding structure,which causes great challenge on antenna impedance measurement Methods for balanced antenna impedance measurement can be divided into three categories:Balun method,imaging theory and S-parameter *** types methods are analyzed and compared in this *** and experiments are implemented to support the *** the comparisons,great agreements in impedance value and variation tendency are observed between the simulation and experiment Moreover,strengths and weaknesses of the three methods also are analyzed in this paper.

关键词： impedance measurement Balun imaging theory SParameter

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An improved and more accurate expression for a PDF related to eigenvalue-based spectrum sensing

arXiv

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arXiv 2018年

作者： Zhou, Fuhui Beaulieu, Norman C. School of Information Engineering Nanchang University 330031 China Beijing University of of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China

Cooperative spectrum sensing based on the limiting eigenvalue ratio of the covariance matrix offers superior detection performance and overcomes the noise uncertainty problem. While an exact expression exists, it is complex and multiple useful approximate expressions have been published in the literature. An improved, more accurate, integral solution for the probability density function of the ratio is derived using order statistical analysis to remove the simplifying, but incorrect, independence assumption. Thereby, the letter makes an advance in the rigorous theory of eigenvalue-based spectrum sensing. Copyright © 2018, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Magnetically tunable terahertz all-dielectric metamaterial

arXiv

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arXiv 2018年

作者： Lan, Chuwen Wu, Hailian Yang, Daquan Gao, Zehua Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Acknowledgment School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China

All-dielectric metamaterials composed of high index and low loss dielectric resonators have become a promising way for high-efficient optical devices. However, fabricating terahertz all-dielectric metamaterials and actively tuning their properties still remain challenges. In this paper, an effective method has been developed to prepare high-quality microspheres based all-dielectric metamaterial operating in terahertz (THz) range. Then, we propose a magnetically tunable THz all-dielectric metamaterial based on liquid crystal (LC). The all-dielectric metamaterial is immersed into LC and tuned by external magnetic field. We show that the induced Mie resonances can be effectively tuned by external magnetic field and the tunability is highly sensitive to the directors of applied magnetic field. A good tunability performance is obtained for the first electric resonance. This work provides a new method for high-quality THz all-dielectric metamaterials and paves a promising way for tunable THz all-dielectric metamaterial, which would find considerable applications in THz devices. Copyright © 2018, The Authors. All rights reserved.

关键词： Metamaterials

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Research on Measurement Uncertainty of Absorption Cross Section in a Reverberation Chamber

Research on Measurement Uncertainty of Absorption Cross Sect...

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Conference on Precision Electromagnetic Measurements

作者： Jienan Liu Ke Liu Xin Bian Shufang Li Division of Electronics and Information Technology National Institute of Metrology Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

The absorption cross section (ACS) of absorbers are measured in a reverberation chamber and the relative uncertainty of measurements is calculated. The ACS is calculated by a time-domain method at frequencies in the range 1-3GHz. The average relative uncertainty of the ACS over the frequency range is 0.02 by the measurements in eight different configurations of absorbers and antennas, which shows good experimental stability.

关键词： Absorbers Absorption Cross Section Measurement Uncertainty Reverberation Chamber Time-domain Method

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