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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

作者： Baifa Yang Haixuan Huang Botao Feng Li Deng College of Electronics and Information Engineering Shenzhen University Shenzhen China College of Big Data and Internet Shenzhen Technology University Shenzhen China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

This paper proposes an omni-directional printed antenna with broadband and high gain for WiFi-5 and WiFi-6 applications. In order to achieve stable omnidirectional gain, both of the ground plane and the radiating elements are arranged on the same side of the printed circuit board (PCB) substrate. Over the whole working frequency band, selecting the left end of the PCB board to supply power helps to achieve good radiation pattern in the H-plane. Simulated results exhibit that a relative bandwidth of 8% (5.15-7.125 GHz) is obtained. The corresponding gain ranges from 5.14 to 7.74 dBi in the operating band, which is about 4 dBi larger than that of the conventional omnidirectional antennas.

关键词： Conferences Printed circuits Omnidirectional antennas Bandwidth Information and communication technology Broadband antennas Substrates

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Team Channel-SLAM: A Cooperative Mapping Approach to Vehicle Localization

Team Channel-SLAM: A Cooperative Mapping Approach to Vehicle...

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IEEE International Conference on Communications Workshops, ICC

作者： Xinghe Chu Zhaoming Lu Luhan Wang Xiangming Wen David Gesbert Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Witcomm Open Source Communication Research Institute Beijing China Communications Systems Department EURECOM Sophia Antipolis France

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

Vehicle positioning is considered a key element in autonomous driving systems. While conventional positioning requires the use of GPS and/or beacon signals from network infrastructure for triangulation, they are sensitive to multi-path and signal obstruction. However, recent proposals like the Channel-SLAM method showed it was possible in principle to in fact leverage multi-path to improve positioning of a single vehicle. In this paper, we derive a cooperative Channel-SLAM framework, which is referred as Team Channel-SLAM. Different from the previous work, Team Channel-SLAM not only exploits the stationary nature of reflecting objects around the receiver to characterize the location of a single vehicle through multi-path signals, but also capitalizes on the multi-vehicle aspects of road traffic to further improve positioning. Specifically, Team Channel-SLAM exploits the correlation between reflectors around multiple neighboring vehicles to achieve high precision multiple vehicle positioning. Our method uses affinity propagation clustering and cooperative particle filter. The new framework is shown to give substantial improvement over the single vehicle positioning situation.

关键词： Simultaneous localization and mapping Filtering algorithms Estimation Clustering algorithms Roads Particle filters Radio navigation

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An Omni-directional Antenna with High Gain for WiFi-6 Applications

An Omni-directional Antenna with High Gain for WiFi-6 Applic...

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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

This paper presents a compact high-gain omnidirectional antenna for WiFi-6 applications. The antenna is basically comprised of three pairs of printed dipole patches in series, a coplanar waveguide (CPW) feeding structure and a choking coil, respectively. The printed dipoles fed in series are used to increase radiation gain while the choking coil is employed to provide stable radiation pattern as well as good impedance matching. The simulated results show that a frequency bandwidth of 9.8% (5-7.45 GHz) (S 11

关键词： Dipole antennas Impedance matching Conferences Omnidirectional antennas Coplanar waveguides Information and communication technology Gain

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A FAHP and MPTCP Based Seamless Handover Method in Heterogeneous SDN Wireless networks

A FAHP and MPTCP Based Seamless Handover Method in Heterogen...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Haonan Tong Xuanlin Liu Changchuan Yin Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

To solve the problem of vertical handover in heterogeneous wireless networks, this paper proposes a seamless handover method for heterogeneous wireless networks based on software defined network (SDN) architecture. The proposed method requires SDN control plane to periodically collect attributes of wireless networks so as to evaluate network performance. Considering varied types of services have different requirements and users have different preferences, fuzzy analytic hierarchy process (FAHP) and multi-path transmission control protocol (MPTCP) are applied to select the most appropriate target network and execute seamless handover, respectively. Compared to existing methods, the proposed method jointly considers service requirements, user preferences, and mobility management for network selection and guarantees service continuity during vertical handover. Simulation results show that the proposed method makes a comprehensive decision on network selection. In terms of handover times, the proposed method achieves up to 17.4% and 4.5% reduction compared to received signal strength based algorithm and fuzzy multiple criteria group decision making based algorithm, respectively. The proposed method also maintains at least one subflow connected during the handover process and achieves seamless handover.

关键词： Handover Wireless networks Delays Protocols Analytic hierarchy process

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Novel Visible Light Communication Assisted Perspective-Four-Line Algorithm for Indoor Localization

Novel Visible Light Communication Assisted Perspective-Four-...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Lin Bai Yang Yang Chunyan Feng Caili Guo Bowen Jia Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China China Electronics Standardization Institute Beijing China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

In this paper, a novel visible light communication (VLC) assisted Perspective-four-Line algorithm (V-P4L) is proposed for indoor localization. The basic idea of V-P4L is to joint the coordinate information obtained by VLC and the geometric information in computer vision for practical indoor localization. In particular, V-P4L first exploits the geometric information to estimate the orientation and coordinate of a single rectangular LED luminaire in the camera coordinate system based on the plane and solid geometry. Then, VLC is used to transmit the world coordinate information of the luminaire to the camera. Next, the position and pose of the camera in the world coordinate system are obtained by the single-view geometry and the linear least square method. Due to the combination of VLC and computer vision, V-P4L only requires a single luminaire for localization and does not rely on the channel model. Therefore, V-P4L is more robust to dust and other factors that interfere visible light signals. Besides, unlike conventional Perspective-n-Line (PnL) algorithms, V-P4L does not require the 3 dimensional (3D)-2 dimensional (2D) correspondences. Simulation results show that for V-P4L the location error is always less than 18 cm and the orientation error is always less than 4.5°.

关键词： Cameras Light emitting diodes Location awareness Visible light communication Geometry Receivers Optical wavelength conversion

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Minimizing electricity cost in multi-electricity-market environment 3

Minimizing electricity cost in multi-electricity-market envi...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Wen, Xiangming Zeng, Hao Lu, Zhaoming Zheng, Wei Sun, Chunlei Zhang, Jingyi Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing 100876 China Beijing Key Laboratory of Network System Architecture and ConvergenceBeijing University of Post and TelecommunicationsBeijing 100876China Beijing Advanced Innovation Center for Future Internet TechnologyBeijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781728114934

Since the energy consumption has been increasing, the proportion of nuclear power, wind power and photovoltaic power generation has been on the rise. The study of energy Internet has been an active area of research. As an important part of the energy Internet, the intelligent energy management system has also received great attention. This paper make a study of minimizing the cost of electricity on the user side by utilizing the energy management algorithm in the energy Internet. In considering how to reduce users' cost, most studies focus on reducing the power consumption or reduce their electricity expenditures by responding to real-time prices, electricity can only be bought from the grid in these models, but users can sell excess electricity to the grid in the energy Internet model. This paper studies the problem of minimizing the total electricity cost while guaranteeing quality of service geared to the randomness of device access and time diversity of electricity price. We model the problem as a typical large-scale linear mixed-integer programming model and propose an efficient solution method. We show through simulation that the proposed algorithm can minimize the average charging payment of users and control the electricity trading volume. © 2019 IEEE.

关键词： Internet of Energy

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Residual Attention Fusion network for Single Image Super-Resolution

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Journal of Physics: Conference Series 2021年第1期2031卷

作者： Hao Zhang Chuwen Lan Zehua Gao School of Information and Communication Engineering Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 China

Recently, a very deep convolutional neural network (CNN) demonstrated influential performance in the field of single image super-resolution (SISR). However, most of the CNN-based methods focus on designing deeper and wider network structures alone and do not use the hierarchical and global features in the input image. Therefore, we proposed a residual attention fusion network (RAFN), which is an improved residual fusion (RF) framework, to effectively extract hierarchical features for use in single-image super-resolution. The proposed framework comprises two residual fusion structures composed of several residual and fusion modules, and a continuous memory mechanism is realized by adding a long and short jump connection. The network focuses on learning more effective features. Furthermore, to maximize the power of the RF framework, we introduced global context attention (GCA) module that can model the global context and capture long-distance dependencies. The final RAFN was constructed by applying the proposed RF framework to the GCA blocks. Extensive experiments showed that the proposed network achieved improved performance in the SISR method with fewer parameters, as compared to the methods proposed in previous studies.

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Optimized trajectory design in uav based cellular networks for 3d users: A double q-learning approach

arXiv

引用

arXiv 2019年

作者： Liu, Xuanlin Chen, Mingzhe Yin, Changchuan Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

In this paper, the problem of trajectory design of unmanned aerial vehicles (UAVs) for maximizing the number of satisfied users is studied in a UAV based cellular network where the UAV works as a flying base station that serves users, and the user indicates its satisfaction in terms of completion of its data request within an allowable maximum waiting time. The trajectory design is formulated as an optimization problem whose goal is to maximize the number of satisfied users. To solve this problem, a machine learning framework based on double Qlearning algorithm is proposed. The algorithm enables the UAV to find the optimal trajectory that maximizes the number of satisfied users. Compared to the traditional learning algorithms, such as Q-learning that selects and evaluates the action using the same Q-table, the proposed algorithm can decouple the selection from the evaluation, therefore avoid overestimation which leads to sub-optimal policies. Simulation results show that the proposed algorithm can achieve up to 19.4% and 14.1% gains in terms of the number of satisfied users compared to random algorithm and Q-learning algorithm. Copyright © 2019, The Authors. All rights reserved.

关键词： Wireless networks

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On-line learning algorithm for dynamic sensitivity control in IEEE 802. 11ax network

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The Journal of China Universities of Posts and Telecommunications 2018年第5期25卷 67-74页

作者： Li Qishan Hu Zhiqun Wen Xiangming Lu Zhaoming Qi Hang School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications

The popularity of IEEE 802. 11 based wireless local area network（ WLAN） increased significantly in recent years and resulted in the dense deployment of WLANs. While densification can contribute to increasing coverage,it could also lead to increasing interference and cannot insure high spatial reuse due to the current physical carrier sensing of IEEE 802. 11. To tackle these challenges,the dynamic sensitivity control（ DSC） is considered in IEEE802. 11 ax,which dynamically selects the appropriate carrier sensing threshold（ CST） to improve spectrum efficiency and enhance spatial reuse in densely deployed network. A dynamic Q-learning based CST selection method is proposed to enable a network to select the optimal CST according to the channel condition. Simulation results show that the proposed scheme provides 40% aggregate throughput gain of a dense network when compared with legacy IEEE 802. 11.

关键词： IEEE 802. llax reinforcement learning dynamic sensitivity control dense network

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Analysis and Optimization of Service Delay for Multi-quality Videos in Multi-tier Heterogeneous network with Random Caching

arXiv

引用

arXiv 2020年

作者： Zhang, Xuewei Lv, Tiejun Ren, Yuan Ni, Wei Beaulieu, Norman C. Xi'an710121 China Beijing100876 China Data61 Commonwealth Scientific and Industrial Research SydneyNSW2122 Australia School of Information and Communication Engineering Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

Aiming to minimize service delay, we propose a new random caching scheme in device-to-device (D2D)-assisted heterogeneous network. To support diversified viewing qualities of multimedia video services, each video file is encoded into a base layer (BL) and multiple enhancement layers (ELs) by scalable video coding (SVC). A super layer, including the BL and several ELs, is transmitted to every user. We define and quantify the service delay of multi-quality videos by deriving successful transmission probabilities when a user is served by a D2D helper, a small-cell base station (SBS) and a macro-cell base station (MBS). We formulate a delay minimization problem subject to the limited cache sizes of D2D helpers and SBSs. The structure of the optimal solutions to the problem is revealed, and then an improved standard gradient projection method is designed to effectively obtain the solutions. Both theoretical analysis and Monte-Carlo simulations validate the successful transmission probabilities. Compared with three benchmark caching policies, the proposed SVC-based random caching scheme is superior in terms of reducing the service delay. Copyright © 2020, The Authors. All rights reserved.

关键词： Scalable video coding

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