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3rd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2020

作者： Yang, Baifa Huang, Haixuan Feng, Botao Deng, Li College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Big Data and Internet Shenzhen Technology University Shenzhen518118 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781728190457

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. © 2020 IEEE.

关键词： Bandwidth

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Positioning Using Visible Light Communications: A Perspective Arcs Approach

arXiv

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arXiv 2022年

作者： Zhu, Zhiyu Guo, Caili Bao, Rongzhen Chen, Mingzhe Saad, Walid Yang, Yang The Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China The Department of Electrical Engineering Princeton University Princeton NJ08544 United States Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China The Wireless@VT Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States

Visible light positioning (VLP) is an accurate indoor positioning technology that uses luminaires as transmitters. In particular, circular luminaires are a common source type for VLP, that are typically treated only as point sources for positioning, while ignoring their geometry characteristics. In this paper, the arc feature of the circular luminaire and the coordinate information obtained via visible light communication (VLC) are jointly used for positioning, and a novel perspective arcs approach is proposed for VLC-enabled indoor positioning. The proposed approach does not rely on any inertial measurement unit and has no tilted angle limitaion at the user. First, a VLC assisted perspective circle and arc algorithm (V-PCA) is proposed for a scenario in which a complete luminaire and an incomplete one can be captured by the user. Based on plane and solid geometry theory, the relationship between the luminaire and the user is exploited to estimate the orientation and the coordinate of the luminaire in the camera coordinate system. Then, the pose and location of the user in the world coordinate system are obtained by single-view geometry theory. Considering the cases in which parts of VLC links are blocked, an anti-occlusion VLC assisted perspective arcs algorithm (OA-V-PA) is proposed. In OA-V-PA, an approximation method is developed to estimate the projection of the luminaire's center on the image and, then, to calculate the pose and location of the user. Simulation results show that the proposed indoor positioning algorithm can achieve a 90th percentile positioning accuracy of around 10 cm. Moreover, an experimental prototype is implemented to verify the feasibility. In the established prototype, a fused image processing method is proposed to simultaneously obtain the VLC information and the geometric information. Experimental results in the established prototype show that the average positioning accuracy is less than 5 cm for different tilted angles of the user.

关键词： Visible light communication

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Enhanced Noncontact Vital Signs Detection Method for Slightly Moving Subjects Using Tracks Catching and Parameters Estimation (TCPE) 4

Enhanced Noncontact Vital Signs Detection Method for Slightl...

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Chen, Deken Hong, Weijun Dong, Yaru Beijing Key Laboratory of Network System Architecture and Convergence China Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing100876 China

A novel signal processing method based on track catching and Parameters estimation(TCPE) is proposed to detect the vital signs of slightly moving subjects, which can extract the vital signs of subjects with the influence of Gaussian noise or harmonic interference when the subject is stationary or slightly moving without much body shake. The experiment results show that the proposed method can detect the vital signs of slightly moving subjects with higher accuracy comparing with traditional methods. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Parameter estimation

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Spectrum efficiency maximization with trajectory design in UAV-enabled mobile relaying

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The Journal of China Universities of Posts and Telecommunications 2019年第4期26卷 17-24页

作者： Sun Chuanzhi Hu Zhiqun Wen Xiangming Lu Zhaoming Qi Hang Beijing Laboratory of Advanced Information Networks Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and TelecommunicationsBeijing 100876China School of Computer and Information Engineering Hubei UniversityWuhan 430062China

With the advantages of low cost and high mobility,unmanned aerial vehicles(UAVs)have played an important role in wireless *** investigate a UAV-enabled mobile relaying system,where a UAV is used as a mobile relay to assist in the communication from a ground source to a ground destination since their direct link is *** the conventional mobile relay in which the UAV adopts straight line or circular trajectory,we consider a more general elliptical trajectory and use realistic channel *** assuming that the UAV employs time-division duplexing(TDD)based decode-and-forward(DF)relaying,we jointly optimize the time allocations and the UAV trajectory to formulate the maximization of spectrum efficiency(SE).The simulation results show that the trajectory we designed achieves a higher SE than the optimal circular trajectory and static relaying.

关键词： UAV mobile relay time allocations elliptical trajectory

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An Effective Routing Mechanism Based on Fuzzy Logic for Software-Defined Data Center networks

An Effective Routing Mechanism Based on Fuzzy Logic for Soft...

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International Conference on Computer and Communications (ICCC)

作者： Yang Xu Wu Muqing Yao Guohao Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

In order to solve the problem of low throughput and poor performance in data center network, this paper proposes a traffic scheduling algorithm exploiting fuzzy logic inference based on Software Defined networking (SDN). The algorithm uses the characteristics of separation of control and forwarding in SDN architecture to choose paths for data flows by the centralized control of controller. It calculates the candidate path set of accessible paths between the source host and the destination host, then comprehensively considers path hops and bandwidth utilization, evaluates the candidate path using fuzzy logic model, and selects the optimal path. The experimental results show that compared with ECMP, Hedera and FSEM, the proposed algorithm improves the network throughput and load balancing, thus improving the overall network performance of the data center.

关键词： Fuzzy logic Data centers Scheduling algorithms Throughput Inference algorithms Software defined networking Load modeling

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Design and Performance Modeling of A YARN-based GPU Resource Scheduling system 5

Design and Performance Modeling of A YARN-based GPU Resource...

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5th IEEE International Conference on Computer and Communications, ICCC 2019

作者： Huang, Jianbo Zhou, Wenli Song, Ruoning Liu, Fang Wang, Siye Liu, Jun Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Nformation Networks and Beijing Key Laboratory of Network System Architecture and Convergence Beijing China

ISBN: (纸本)9781728147437

The training of Deep Learning (DL) model can be accelerated significantly with Graphics Processing Unit (GPU). Accessing a server with GPUs attached and training model directly on it is the most common way of using GPUs, but this way may cause unbalanced load and low GPU utilization in multiple-server-multiple-application situation. This paper gives a mathematical definition of this problem and presents a YARN-based solution. key of the solution is to build a resource scheduling platform with a customized Application Master (AM) optimized for DL. Performance model of the platform is also presented in this paper as well as the proof of higher GPU utilization. The benchmark of training ResNet on ImageNet shows that there is little performance degradation on platform. © 2019 IEEE.

关键词： Graphics processing unit

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Joint hybrid beamforming and power splitting design in millimeter-wave simultaneous wireless information and power transfer system

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The Journal of China Universities of Posts and Telecommunications 2019年第2期26卷 59-66页

作者： Bao Tiantian Wen Xiangming Lu Zhaoming Chen Yawen Zheng Wei School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Laboratory of Advanced Information Networks Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and TelecommunicationsBeijing 100876China

A joint hybrid beamforming and power splitting(JHBPS) design problem for simultaneous wireless information and power transfer(SWIPT) in millimeter-wave(mmWave) system is *** considered scenario is a multi-antenna base station(BS) transfers information and energy simultaneously to multiple single-antenna *** adopts hybrid digital and analog beamforming architecture to reduce hardware *** separate acquired signals with power splitters either for information decoding(ID) or energy harvesting(EH).The aim is minimizing total transmission power by joint design of hybrid beamforming and PS under ID and EH *** is difficult to obtain the optimal hybrid beamformer directly since the analog beamformer and digital beamformer are ***,a two-stage algorithm is proposed to solve the *** the first stage,the optimal beamformer and PS ratios are obtained by solving the joint transmission beamforming and PS design *** the second stage,the optimal beamformer is approximated with the product of analog beamformer and digital *** superiority of proposed algorithm over the existing algorithms is demonstrated through ***,the effectiveness of approximation algorithm is testified.

关键词： SWIPT mmWave hybrid analog and digital beamforming

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Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC networks

Deep Deterministic Policy Gradient Based Computation Offload...

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IEEE Globecom Workshops

作者： Ruoqi Liu Xuanlin Liu Sihua Wang Changchuan Yin Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing P. R. China

ISBN: (数字)9781728173078

ISBN: (纸本)9781728173085

With the upsurge of Internet of Things (IoT), mobile edge computing (MEC) and wireless power transfer (WPT) are becoming promising methods to relieve IoT devices from the limited computation capacity and battery capacity. In this paper, we study the joint optimization of the local computing central processing unit (CPU) frequency and the offloading ratio in a dynamic WPTMEC network. In the proposed network, all the IoT devices follow a harvest-then-compute protocol so as to be charged by the MEC server and then compute the tasks. Our goal is to minimize the long-term averaged maximal computing delay with stochastic task arrivals and time-varying wireless channels. It is challenging to find the optimal solution due to the uncertain network information and the non-convex objective function. To tackle this problem, we propose a deep reinforcement learning-based deep deterministic policy gradient (DDPG) framework, which can learn a centralized policy to coordinate the local computing CPU frequencies and offloading ratios of IoT devices. Simulation results show that the proposed DDPG algorithm can achieve up to 73.2% and 16.8% gain in terms of the averaged maximal computing delay compared to the local-computing-only method and the deep Q-network algorithm, respectively.

关键词： Wireless communication Simulation Stochastic processes Delays Central Processing Unit Internet of Things Task analysis

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Joint Beamforming and Artificial Noise Design in Intelligent Reflecting Surface Aided Secure Wireless Communications

Joint Beamforming and Artificial Noise Design in Intelligent...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Pei Liu Kai Zhang Changchuan Yin Beijing Laboratory of Advanced Information Network Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing P. R. China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

In this paper, we study an intelligent reflecting surface (IRS)-assisted secure wireless communication system, in which a multi-antenna access point (AP) communicates with a single antenna legitimate user in the presence of multiple single-antenna eavesdroppers. In order to effectively prevent eavesdroppers from receiving target information so as to improve the security of the network, artificial noise (AN) is injected into the transmit signal of the AP. For the purpose of power efficiency, we study the problem of minimizing the total power consumption subjected to a target secrecy rate constraint in an IRS-assisted secure communication system. In order to solve this non-convex problem, we decompose the problem into a two-level problem and an iterative problem, which are summarized in our solution by optimizing the two sub-problems successively. Numerical results show that our algorithm can effectively reduce the power consumption and improve the system security performance by optimizing the AP transmitting vectors, AN covariance matrix and IRS reflecting phase.

关键词： Wireless communication Signal processing Conferences

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An LSTM Acceleration Engine for FPGAs Based on Caffe Framework 5

An LSTM Acceleration Engine for FPGAs Based on Caffe Framewo...

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5th IEEE International Conference on Computer and Communications, ICCC 2019

作者： He, Junhua He, Dazhong Yang, Yang Liu, Jun Yang, Jie Wang, Siye Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks Beijing Key Laboratory of Network System Architecture and Convergence Beijing100876 China

ISBN: (纸本)9781728147437

Recently, Long Short Term Memory (LSTM) networks have been widely used in sequence-related problem. LSTMs outperform conventional feed-forward neural networks and RNNs in many ways, since they remember patterns selectively for long durations of time. However, due to the recurrent property of LSTMs, it is hard to implement a high computing parallelism on general processors such as CPUs and GPUs. Besides, the huge energy consumption of GPU and CPU computing is a non-negligible issue for data centers. In order to solve the problems above, FPGA emerges as an ideal solution. It has the characteristics of low power and latency, which has natural advantages for the implementation of recurrent neural networks, such as LSTMs. In this paper, we propose to implement an acceleration engine for LSTM network based on FPGAs. By employing fixed-point arithmetic, systolic arrays for matrix multiplication and look up table for activate function, we optimize the LSTM on FPGA in depth. Additionally, we integrate the acceleration engine into Caffe, one of the most popular deep learning framework, to make it easier to deploy. According to the experimental results, our acceleration engine achieves 8.8X and 2.2X gains for performance, 16.9X and 9.6X gains for energy efficiency compared with CPU and GPU, respectively. © 2019 IEEE.

关键词： Field programmable gate arrays (FPGA)

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