2019 28th Wireless and Optical Communications Conference (WOCC)最新文献_第10页

Latency Optimization for Multi-user NOMA-MEC Offloading Using Reinforcement Learning 基于强化学习的多用户NOMA-MEC卸载延迟优化

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770605

Peitong Yang, Lixin Li, Wei Liang, Huisheng Zhang, Z. Ding

引用次数: 27

Generalized Spatial Modulation for Multi-User in Visible Light Communication 可见光通信中多用户的广义空间调制

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770618

M. Jha, Navin Kumar, Y. Lakshmi

{"title":"Generalized Spatial Modulation for Multi-User in Visible Light Communication","authors":"M. Jha, Navin Kumar, Y. Lakshmi","doi":"10.1109/WOCC.2019.8770618","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770618","url":null,"abstract":"In this paper, we analyzed the generalized spatial modulation (generalized SM) transmission technique for multi user indoor visible light communication (VLC) system. In generalized SM, number of bits conveyed per transmitter includes modulation symbol bits and active transmitter indices bits. Block diagonalization (BD) precoding technique is used to avoid multi user interference (MUI) in the transmitter without interference between photodiodes of the same user resulting in the noise reduction. A comparison is performed between the generalized SM with conventional Multiple Input Multiple Output (MIMO), spatial multiplexing (SMP) MIMO and spatial modulation MIMO transmission technique for multi user VLC system with regard to bit error rate (BER) performance using simulation. Simulation results show that generalized SM MIMO technique offers better signal to noise ratio (SNR) than SM MIMO by 2 dB, SMP MIMO by 5 dB and conventional MIMO technique by 8.5 dB to achieve the same BER of 10−6. We also analyzed the influence of field of view (FOV) at an optical receiver on SNR performance with respect to single light emitting diode (LED) power.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115785274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

TOA based Target Tracking using Optimal Estimation Methods 基于TOA的最优估计目标跟踪方法

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770656

Shihong Duan, Yuanyuan Li, Cheng Xu, Jiawang Wan, Jie He

引用次数: 0

Traffic Classification for Mobile Video Streaming Using Dynamic Warping Network 基于动态翘曲网络的移动视频流流量分类

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770669

Shuang Tang, Chensheng Li, Xiaowei Qin, Guo Wei

{"title":"Traffic Classification for Mobile Video Streaming Using Dynamic Warping Network","authors":"Shuang Tang, Chensheng Li, Xiaowei Qin, Guo Wei","doi":"10.1109/WOCC.2019.8770669","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770669","url":null,"abstract":"Traditional traffic classification methods generally sort the Internet traffic for video streaming to the same category. However, video streaming should be treated differently according to different streaming techniques for the task of QoE evaluation. Meanwhile, end-to-end encryption and different encrypted forms make traffic classification even more challenging because of insufficient distinguishable characteristics. In this work, we propose a novel Dynamic Warping Network (DWN) model that allows us to differentiate different streaming techniques based on traffic patterns. We compute soft Dynamic Time Warping (DTW) distances between the download speed series and a set of warping series, which are further fed to Multi-Layer Perceptions (MLP) for traffic classification. We also show how to train the MLP and warping series jointly using back-propagation algorithm. The proposed model outperforms the start-of-the-art MaMPF model for distinguishing Internet traffic between different streaming techniques, where the accuracy for Video on Demand (VoD) using HTTP Adaptive Streaming (HAS) and live broadcasting (LB) reaches 90.51% and 88.84% respectively.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114560472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

High energy efficient relay adaptive transmission strategy 高能效继电器自适应传输策略

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770682

Shu Gui, Runhe Qiu

引用次数: 1

Simultaneously Power and Information Transmission for Half-duplex Massive MIMO with Spatial Basis Expansion Model 基于空间基扩展模型的半双工大规模MIMO功率与信息同步传输

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770621

Na Li, Dongmei Zhang, Wei Xie, Meng Wang, Kui Xu, Jianhui Xu, Qingsong Zhang

引用次数: 0

A Fast-Convergent Detector Based on Joint Jacobi and Richardson Method for Uplink Massive MIMO Systems 基于联合Jacobi和Richardson方法的快速收敛检测器用于上行海量MIMO系统

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770631

I. A. Khoso, T. Javed, Shanshan Tu, Yuanyuan Dong, Hua Li, Xiyuan Wang, Xiaoming Dai

引用次数: 5

Deep Learning based Automatic Modulation Classification for Varying SNR Environment 基于深度学习的变信噪比自动调制分类

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770611

Xiaojuan Xie, Yanqin Ni, Shengliang Peng, Yu-dong Yao

引用次数: 18

Real-time Sound Detection and Regeneration Based on Optical Flow Algorithm of Laser Speckle Images 基于激光散斑图像光流算法的实时声音检测与再生

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770661

Nan Wu, S. Haruyama

{"title":"Real-time Sound Detection and Regeneration Based on Optical Flow Algorithm of Laser Speckle Images","authors":"Nan Wu, S. Haruyama","doi":"10.1109/WOCC.2019.8770661","DOIUrl":"https://doi.org/10.1109/WOCC.2019.8770661","url":null,"abstract":"Sound detection with optical means is an appealing research topic. Laser speckle is one effective method to detect the sound due to its sensitivity to tiny motion. The traditional laser-speckle sound recovery methods require a high-speed camera to record fast-moving speckle images and then recover the original sound signals from the motion information of the captured speckle images. In this manuscript, a laser microphone system is proposed to detect and regenerate the sound signal in real time. In the proposed system, only a small part of the imaging sensor is used to ensure a high sampling rate with a common industrial camera and reduce the computation time consumption. Meanwhile, optical flow algorithm is employed to obtain the motion information of captured speckle images and regenerate the sound. These two points allow us to capture images from the camera and regenerate sound in real time without storing any data into the computer, which greatly increases the speed of the system and achieves a microphone-like functions. Experiments are conducted to show that the proposed system can detect and regenerate the sound signal in real-time with a high quality.","PeriodicalId":285172,"journal":{"name":"2019 28th Wireless and Optical Communications Conference (WOCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116485325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Study on the Detecting Technology of Mine Internet of Things Based on RSSI Technology 基于RSSI技术的矿山物联网检测技术研究

2019 28th Wireless and Optical Communications Conference (WOCC) Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770663

Jian Ming, Aibing Jin, Jinhai Sun, D. Hu, Yan Xia

引用次数: 0