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2019 28th Wireless and Optical Communications Conference (WOCC)最新文献

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Enhancing Spectral Efficiency and BER Performance of Spatial Modulation using Layered Architecture 利用分层结构提高空间调制的频谱效率和误码率
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770602
Saad Chaudhry, Xiaoya Zuo, Rugui Yao, Hailong Liu, T. Mekkawy
The recent emergence of spatial modulation (SM) as a new modulation concept maneuvers the random and unique properties of the multiple-input multiple-output (MIMO) wireless channels. In this paper, an enhancement in SM scheme is proposed by innovative usage of quadrature amplitude modulation (QAM) to add layers which fully exploit both the signal and spatial domains. Layered spatial modulation (LSM) controls the preset rotated signals with normalized amplitudes to classify the layers and to identify the transmitted symbols at the transceiver by completely avoiding inter-channel interference (ICI). High spectral efficiency can be achieved with the addition of only one transmit antenna for each layer by the LSM scheme. Simulation results show that the proposed method has significant improvement in spectral efficiency and bit-error-rate (BER) performance as compared to other MIMO schemes.
空间调制(SM)作为一种新的调制概念,利用了多输入多输出(MIMO)无线信道的随机性和独特性。本文提出了一种改进的SM方案,创新地使用正交调幅(QAM)来增加充分利用信号域和空间域的层。分层空间调制(LSM)通过控制预设的旋转信号以归一化幅度进行分层分类,并通过完全避免信道间干扰(ICI)来识别收发器发送的信号。通过LSM方案,每层只增加一个发射天线就可以获得较高的频谱效率。仿真结果表明,与其他MIMO方案相比,该方法在频谱效率和误码率性能方面有显著提高。
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引用次数: 0
5G Oriented Optical Communications in Highspeed Trains: A Review 面向5G的高速列车光通信技术综述
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770560
Xifeng Chen, Jupeng Ding, Huicheng Lai
With increasing of high speed train (HST) in all over the world, users' requirements for communications are constantly improving in HST scenario. Although the fifth generation (5G) communication systems provided high rate data services in HST, yet it restricted for the signal bandwidth and spectrum license. In order to enhance the HST communication performances, optical communication technologies are applied in HST. Hence, in this work, we focus on the optical wave as transmission carrier in HST communication. In communication process, experienced frequent handover, limited coverage of base station and changed of environment factors are most challenges. For overcoming those obstacles, several optical communication systems are proposed in recent year. Several researchers are proposed optical wireless communication (OWC) systems which are optimized the communications barriers in HST. Beside, the optical fiber communication (OFC) systems are used to strengthen the capacity of HST communication. Moreover, plentiful experiments are established for studied the optical communication performances, which are set up consisted of car is replaced with train, simulated HST scenario in lab and tested in reality HST scenario.
随着全球高速列车数量的不断增加,高速列车场景下用户对通信的要求也在不断提高。虽然第五代(5G)通信系统在HST中提供了高速率的数据业务,但它在信号带宽和频谱许可方面受到限制。为了提高HST的通信性能,在HST中应用了光通信技术。因此,在本工作中,我们重点研究了光波作为HST通信的传输载体。在通信过程中,频繁的切换、有限的基站覆盖和环境因素的变化是最大的挑战。为了克服这些障碍,近年来提出了几种光通信系统。一些研究人员提出了优化HST中通信障碍的光无线通信系统。此外,采用光纤通信(OFC)系统来增强HST通信的能力。建立了以车代车、实验室模拟HST场景和现实HST场景测试三种方案,对光通信性能进行了大量的实验研究。
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引用次数: 4
Power Allocation with Buffer Constraint for Distributed Antenna System in High-Speed Railway Scenarios 高速铁路场景下具有缓冲约束的分布式天线系统功率分配
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770668
Mi Yu, Xiaoming Wang, Youyun Xu, Dapeng Li, Jianping Chen
To meet the increasing demands of high data-rate service in high-speed railway (HSR) scenarios, the two-hop architecture with distributed antenna system (DAS) is a good choice. In this architecture, the transmit and receive sides of HSR system are both equipped with distributed antennas, then base stations (BSs) communicate with users via mobile relays (MRs) on the top of train. Thus, the data will be buffered when the wireless transmission rate can not satisfy the requirement of data arrival rate. In this paper, we focus on the efficient power allocation method with buffer and delay constraint on the basis of predicted path loss characteristic in downlink HSR communications. Firstly, the relationship between the data arrival rate and instantaneous wireless transmission rate is analyzed where BSs transmit with constant power. Secondly, the transmit power optimization problem with the requirement of buffer size and delay is formulated. The optimal power allocation scheme can be obtained through Lagrangian dual method. Simulation results demonstrate that the proposed power allocation scheme can achieve a lower consumed power and avoid data overflow and infinite delay as well.
为了满足高速铁路日益增长的高数据速率业务需求,分布式天线系统(DAS)的两跳架构是一个很好的选择。在这种架构下,高铁系统的发射端和接收端都安装了分布式天线,基站通过列车顶部的移动中继与用户通信。因此,当无线传输速率不能满足数据到达率的要求时,数据将被缓冲。本文主要研究了高速铁路下行通信中基于预测路径损耗特性的带缓冲和时延约束的高效功率分配方法。首先,分析了恒功率无线基站传输时的数据到达率与瞬时无线传输速率的关系。其次,提出了具有缓冲区大小和时延要求的发射功率优化问题。通过拉格朗日对偶方法得到最优功率分配方案。仿真结果表明,所提出的功率分配方案可以实现较低的功耗,避免数据溢出和无限延迟。
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引用次数: 1
Cooperative Vehicle Localization Base on Extended Kalman Filter In Intelligent Transportation System 基于扩展卡尔曼滤波的智能交通系统车辆协同定位
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770586
Liping Du, Long Chen, Xiaotian Hou, Yueyun Chen
In this paper, we proposed an Extended Kalman filter (EKF) method for multi-vehicle cooperative localization using Global Positioning System (GPS) data and inter-vehicle position information. Each cooperative vehicle uses its own GPS receiver to estimate its position. And inter-vehicle position information is obtained by the Dedicated Short-range Communication (DSRC). This proposed method includes two processes. Firstly, the GPS positioning information of cooperative vehicles are collected to get the positioning matrix. Then the EKF is applied to the matrix to further improve the positioning accuracy. In the simulation, we analyze the impact of different numbers of neighbor vehicles on positioning accuracy and the performance of the proposed method has been verified.
提出了一种基于GPS数据和车辆间位置信息的扩展卡尔曼滤波(EKF)多车协同定位方法。每辆合作车辆使用自己的GPS接收器来估计自己的位置。通过专用短程通信(DSRC)获取车辆间位置信息。该方法包括两个过程。首先,收集合作车辆的GPS定位信息,得到定位矩阵;然后将EKF应用于矩阵,进一步提高定位精度。仿真分析了不同相邻车辆数量对定位精度的影响,验证了所提方法的性能。
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引用次数: 7
Relaxed Polar Codes under AWGN Channels with Low Complexity and Low Latency 低复杂度低时延AWGN信道下的放松极性码
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770579
Xinyi Wang, Ce Sun, Jingxuan Huang, Dai Jia, Yifan Jiang, Deliang Song
As the first family of codes to achieve the channel capacity, polar codes are becoming popular in many applications, such as 5G communication. Motivated by the requirement of low complexity and latency in 5G, researchers are keen to study efficient construction of polar codes. In this paper, inspired by the idea of relaxed polar codes, we study the relaxation of polar codes, and propose an efficient construction method for relaxed polar codes. By relaxing part of polarization units, the proposed method can help polar codes significantly reduce the encoding and decoding complexity as well as decoding latency with no BLER performance loss. Meanwhile, the proposed relaxed polar codes shows better BER performance due to the reduction of the impact of error propagation.
作为第一个实现信道容量的码族,极性码在5G通信等许多应用中越来越受欢迎。受5G低复杂度和低延迟要求的推动,研究人员热衷于研究极性码的高效构建。本文在松弛极性码思想的启发下,研究了松弛极性码的松弛性,提出了一种有效的构造松弛极性码的方法。通过放松部分极化单元,该方法可以显著降低极化码的编解码复杂度和译码延迟,且不会损失BLER性能。同时,由于减小了误差传播的影响,所提出的放宽极化码具有更好的误码率性能。
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引用次数: 0
High-Speed Visible Light Communication Chipset Based Multi-Color MIMO System 基于高速可见光通信芯片组的多色MIMO系统
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770520
Ye Xiao, Yi-jun Zhu, Dong-Fang Zhang, Hai-yong Zhang
This paper proposes a visible light communication (VLC) chipset based multi-color multiple-input multiple-output (MIMO) VLC system. The high-speed wideband VLC chipset we employed is independently researched and developed, it could afford higher than Gbps data rate transmission. With the utilization of multi-color LEDs (e.g., RGBY-LEDs), the data rate of VLC systems is further improved. In this paper we introduce the multi-color communication module and the architecture of our proposed multi-color MIMO system model. With the help of self-designed shape π resistance network and bridged-T based pre-equalizer, the bandwidth of each LED color chip is broaden. Finally, an experimental chipset based multi-color MIMO-VLC setup is constructed and tested. The proposed experimental system offers the aggregate physical layer (PHY) data rates up to 1 Gbps.
提出了一种基于多色多输入多输出(MIMO)的可见光通信(VLC)芯片组系统。我们采用的高速宽带VLC芯片组是自主研发的,可以承受高于Gbps的数据速率传输。随着多色led(如RGBY-LEDs)的使用,VLC系统的数据速率进一步提高。本文介绍了多色通信模块及其多色MIMO系统模型的结构。借助自行设计的形状π电阻网络和基于桥接- t的预均衡器,拓宽了各LED彩色芯片的带宽。最后,构建并测试了基于多色MIMO-VLC的实验芯片组。所提出的实验系统提供高达1gbps的物理层(PHY)数据速率。
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引用次数: 5
A Location- and Mobility-Aware Clustering-Based TDMA MAC Protocol for Vehicular Ad-hoc Networks 一种基于位置和移动感知集群的车载Ad-hoc网络TDMA MAC协议
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770609
Aghmaz Ul Haq, Kai Liu, Muhammad Bilal Latif
Contention-based IEEE 802.11p medium access control (MAC) protocol for vehicular ad-hoc networks (VANETs) has proven to be inefficient because it cannot ensure delivery of safety messages with a bounded delay due to and merge packet collisions, hidden terminal problem, inefficient resource utilization and unreliability in different traffic scenarios. To solve these problems, a conflict-free clustering-based MAC protocol is proposed in this paper which employs TDMA-based deterministic slot assignment to resolves access collisions and to ensure bounded delay and centralized access mechanism for efficient resource management. Mitigation of merge collisions is proposed through disjoint slot assignment and channel distribution with respect to direction of node mobility, whereas, location and mobility awareness of nodes helps in cluster formation and resolve packet conflicts due to hidden terminals. Our simulation results show that the proposed protocol performs better than IEEE 802.11p MAC and TCMAC protocols in both urban and highway traffic scenarios.
基于争用的IEEE 802.11p车载自组织网络(VANETs)介质访问控制(MAC)协议,由于分组冲突和合并问题、终端隐藏问题、资源利用效率低下以及在不同流量场景下的不可靠性等原因,无法保证具有有限延迟的安全消息的传递,因此被证明是低效的。为了解决这些问题,本文提出了一种基于无冲突聚类的MAC协议,该协议采用基于tdma的确定性时隙分配来解决访问冲突,保证有界延迟和集中访问机制,实现高效的资源管理。根据节点移动方向,通过不相交的时隙分配和信道分配来缓解合并冲突,而节点的位置和移动感知有助于集群的形成和解决由于隐藏终端而导致的数据包冲突。仿真结果表明,该协议在城市和公路交通场景下的性能都优于IEEE 802.11p MAC和TCMAC协议。
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引用次数: 9
A Low Complexity High Performance Weighted Neumann Series-based Massive MIMO Detection 基于低复杂度、高性能加权诺伊曼级数的大规模MIMO检测
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770550
Xiaofei Liu, Zhenyu Zhang, Xiyuan Wang, Jing Lian, Xiaoming Dai
In massive multiple-input multiple-output (MIMO) system, Neumann series (NS) expansion-based linear minimum mean square error (LMMSE) detection has been proposed due to its simple and efficient multi-stage pipeline hardware implementation. However, it suffers from poor performance and slow convergence as the number of the users grows. To address this issue, we proposed a novel weighted Neumann series (WNS)-based LMMSE detection to minimize the error between the exact matrix inversion and the WNS-based matrix inversion. Moreover, the optimal weights are obtained according to on-line learning basis. Numerical results indicate that the learning-based WNS detection outperforms the conventional NS-based detection and achieves near-LMMSE performance with a significantly lower computational complexity.
在大规模多输入多输出(MIMO)系统中,基于诺伊曼级数(NS)展开的线性最小均方误差(LMMSE)检测方法由于其简单高效的多级流水线硬件实现而被提出。但是,随着用户数量的增加,它的性能较差,收敛速度较慢。为了解决这个问题,我们提出了一种新的基于加权诺伊曼级数(WNS)的LMMSE检测方法,以最小化精确矩阵反演与基于WNS的矩阵反演之间的误差。根据在线学习的基础,得到最优权重。数值结果表明,基于学习的WNS检测优于传统的基于ns的检测,在显著降低计算复杂度的同时达到了接近lmmse的性能。
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引用次数: 11
Cellular System Identification Using Deep Learning: GSM, UMTS and LTE
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770700
Khalid Alshathri, Hongtao Xia, V. Lawrence, Yu-dong Yao
Deep learning (DL) is an effective tool in artificial intelligence (AI), especially in image based and human behavior recognition applications. However, there are many applications that are not very well explored using the DL tools. The telecommunications and networking applications are among those applications that can be explored more extensively using DL. In this paper, the neural network is utilized to identify different cellular communications signals including GSM, UMTS, and LTE. Our study results show that the cellular system identification method achieves very good identification performance without any necessity to select signal features manually.
深度学习(DL)是人工智能(AI)的有效工具,特别是在基于图像和人类行为识别应用中。然而,有许多应用程序并没有很好地利用深度学习工具进行探索。电信和网络应用是可以使用DL进行更广泛探索的应用之一。在本文中,神经网络被用于识别不同的蜂窝通信信号,包括GSM, UMTS和LTE。我们的研究结果表明,蜂窝系统识别方法在不需要手动选择信号特征的情况下取得了很好的识别性能。
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引用次数: 18
Research on Human Action Recognition Based on Convolutional Neural Network 基于卷积神经网络的人体动作识别研究
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770575
Peng Wang, Yuliang Yang, Wanchong Li, Linhao Zhang, Mengyuan Wang, Xiaobo Zhang, Mengyu Zhu
This paper proposes a human action recognition (HAR) algorithm based on convolutional neural network, which is used for human semaphore motion recognition. First, collecting datas in three scenarios and Deep Convolution Generative Adversarial Networks(DCGAN) is used to implement data enhancement to generate the dataset (DataSR). Then, the 1*1 and 3*3 convolution kernels are used to design the full convolution network and the model is further compressed using the group convolution to obtain the new model HARNET. Experiments show that the mAP of HARNET on the DataSR dataset is 94.36%, and the model size is 76M, which is 30% of the size of the YOLOv3 model.
提出了一种基于卷积神经网络的人体动作识别算法,用于人体信号量运动识别。首先,在三种场景下收集数据,并使用深度卷积生成对抗网络(DCGAN)实现数据增强以生成数据集(DataSR)。然后,利用1*1和3*3卷积核设计全卷积网络,并利用群卷积进一步压缩模型,得到新模型HARNET。实验表明,HARNET在DataSR数据集上的mAP为94.36%,模型大小为76M,是YOLOv3模型大小的30%。
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引用次数: 1
期刊
2019 28th Wireless and Optical Communications Conference (WOCC)
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