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

作者： Liangying Li Wei Yan Botao Feng Li Deng College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China College of Electronics and Information Engineering Shenzhen 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

In this paper, a novel omni-directional antenna with wideband and low cross-polarization for GSM1800/3G/LTE/5G indoor communication systems is proposed. By using the printed log-periodical antenna elements, which are evenly arranged around the center, the proposed antenna achieves the omnidirectional radiation patterns. Moreover, with the cooperation of the log-periodical antenna and the annular parasitic patches, a wide bandwidth and a good omnidirectional radiation performance are achieved simultaneously. Simulated results indicate that an impedance bandwidth of 1.7-3.8 GHz (76.4%) can be achieved with a gain of approximately 1.5 dBi across the whole operating frequency. Low cross-polarization level of less than -30 dB and compact size are also acquired.

关键词： Indoor communication Information and communication technology Broadband antennas Impedance Wideband Gain Antenna radiation patterns

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A network Slicing Strategy for Telemedicine based on Classification

A Network Slicing Strategy for Telemedicine based on Classif...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Yajing Liu Luhan Wang Xiangming Wen Zhaoming Lu Luning Liu Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Witcomm Open Source Communication Research Institute Beijing China

ISBN: (数字)9781728187556

ISBN: (纸本)9781728193106

Telemedicine is the inevitable trend of medical development. Diverse categories of telemedicine put forward different demands to network. As an important enabler of 5G, network slicing can meet different service requirements in telemedicine scenario by slicing multiple isolated virtual networks on the same physical infrastructure. How to ensure telemedicine services through network slicing with limited resources has always been a problem to be solved. In this paper, we consider hierarchical telemedicine slicing to serve customized services. What's more, a telemedicine services classification model based on Radial Basis Function (RBF) neural network is proposed to match 5G remote health services with appropriate slice. Then we propose a hierarchical resource allocation strategy based on genetic algorithm to adjust inter-slice and intra-slice resources. Finally, simulation results show the effectiveness of the proposed scheme.

关键词： Telemedicine network slicing Resource management 5G mobile communication Delays Bandwidth

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Trajectory Design for Energy Harvesting UAV networks: A Foraging Approach

Trajectory Design for Energy Harvesting UAV Networks: A Fora...

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IEEE Conference on Wireless Communications and networking

作者： Xuanlin Liu Mingzhe Chen Sihua Wang Walid Saad Changchuan Yin Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China Department of Electrical Engineering Princeton University Princeton NJ USA Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA USA

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

In this paper, the problem of trajectory design for energy harvesting unmanned aerial vehicles (UAVs) is studied. In the considered model, the UAV acts as a moving base station to serve the ground users, while collecting energy from the charging stations located at the center of a user group. Meanwhile, to serve ground users and harvest energy, the UAV must be examined and repaired regularly. In consequence, it is necessary to optimize the trajectory design of the UAV while jointly considering the maintenance costs, the number of users that are served by the UAV, and the energy consumption and harvesting. To capture the relationship among these factors, we first model the completion of service and the harvested energy as reward, and the energy consumption during the deployment as cost. Then, the deployment profitability is defined as the reward to the cost of the UAV trajectory. Based on this definition, the trajectory design problem is formulated as an optimization problem whose goal is to maximize the deployment profitability of the UAV. To solve this problem, a foraging algorithm is proposed to find the optimal trajectory so as to maximize the deployment profitability. The proposed algorithm can find the optimal trajectory for the UAV with a polynomial time complexity. Fundamental analysis shows that the proposed algorithm can achieve the maximal deployment profitability. Simulation results show that the proposed algorithm can effectively reduce the operation time and achieve up to 25.6% gain in terms of the deployment profitability compared to Q-learning algorithm.

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DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services

DQ-RM: Deep Reinforcement Learning-based Route Mutation Sche...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Tao Zhang Changqiao Xu Bingchi Zhang Xiaohui Kuang Yue Wang Shujie Yang Gabriel-Miro Muntean State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China School of International Beijing University of Posts and Telecommunications Beijing China State key Laboratory of Science and Technology on Information System Security Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Performance Engineering Lab. School of Electronic Engineering Dublin City University Dublin Ireland

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Increasingly growing various multimedia services (e.g., interactive live video and so on) have brought tremendous pressure on existing static defense techniques. To cope with inherent drawback of static defense techniques, network Moving Target Defense (NMTD) such as route mutation (RM) was proposed. What's more, applying reinforcement learning (RL) into RM has been proved feasible in our previous work. But two main problems still need to be considered in this combination of RL with RM: 1) It lacks the consideration of multiple flows situation. 2) With the state-action space grow larger, current solution can't handle efficiently. In this paper, we propose a deep Q-learning method for RM (DQ-RM) to solve above two problems. Firstly, benefited from the satisfiability module theory, we formalize RM space considering single flow and multiple flows concurrently. Then we further propose a deep reinforcement learning-based RM scheme based on our previous work, which is suitable for large-scale state-action space. Finally, extensive experimental results highlight the improvement of DQ-RM in defense performance and convergence speed compared to the representative solution.

关键词： Routing Streaming media Machine learning Frequency modulation Computer crime convergence Quality of service

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Team channel-SLAM: A cooperative mapping approach to vehicle localization

arXiv

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arXiv 2020年

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

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 multipath 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. Copyright © 2020, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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An Omnidirectional Antenna with Wide Bandwidth and High Gain for WiFi-5 and WiFi-6 Applications

An Omnidirectional Antenna with Wide Bandwidth and High Gain...

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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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Fusing Bluetooth with Pedestrian Dead Reckoning: A Floor Plan-Assisted Positioning Approach

arXiv

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arXiv 2025年

作者： Pan, Wenxuan Yang, Yang Chen, Mingzhe Wei, Dong Guo, Caili Mao, Shiwen Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering the Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Wireless Engineering Research and Education Center Auburn University AuburnAL36849 United States

Floor plans can provide valuable prior information that helps enhance the accuracy of indoor positioning systems. However, existing research typically faces challenges in efficiently leveraging floor plan information and applying it to complex indoor layouts. To fully exploit information from floor plans for positioning, we propose a floor plan-assisted fusion positioning algorithm (FP-BP) using Bluetooth low energy (BLE) and pedestrian dead reckoning (PDR). In the considered system, a user holding a smartphone walks through a positioning area with BLE beacons installed on the ceiling, and can locate himself in real time. In particular, FP-BP consists of two phases. In the offline phase, FP-BP programmatically extracts map features from a stylized floor plan based on their binary masks, and constructs a mapping function to identify the corresponding map feature of any given position on the map. In the online phase, FP-BP continuously computes BLE positions and PDR results from BLE signals and smartphone sensors, where a novel grid-based maximum likelihood estimation (GML) algorithm is introduced to enhance BLE positioning. Then, a particle filter is used to fuse them and obtain an initial estimate. Finally, FP-BP performs post-position correction to obtain the final position based on its specific map feature. Experimental results show that FP-BP can achieve a real-time mean positioning accuracy of 1.19 m, representing an improvement of over 28% compared to existing floor plan-fused baseline algorithms. Copyright © 2025, The Authors. All rights reserved.

关键词： Photomapping

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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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