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

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Asynchronous Laser Transponder Method for High-Precision Ranging and Clock Synchronization 高精度测距与时钟同步的异步激光转发器方法
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770524
Hongquan Zhu, Xin Gao, Chengqiang Lei
Duplex laser communication system can achieve high-precision ranging and clock synchronization between terminals in spacecrafts with high data rate transmission. By measuring the transmission and arrival time of data frames during the detection of frame synchronization in laser communication, we resolved the range, time difference and frequency difference simultaneously. Furthermore, we designed a prototype of laser communication system with space and ground terminals separated by a free space to validate the ranging method for asynchronous transponders. For this duplex laser communication demonstration with data rate of 2.5 Gbps, we achieved very high precision with two-way ranging accuracy of 5.4 mm, frequency difference standard deviation of 3.4×10−13, and time difference standard deviation of 2.9 ns. Such high-precision ranging accuracy would be valuable for orbit determination, and the precise measurement of time and frequency difference could be used for disciplining the satellite clock by the high-stability ground clock.
双工激光通信系统可以实现航天器终端间高精度测距和时钟同步,具有较高的数据传输速率。在激光通信帧同步检测过程中,通过测量数据帧的传输时间和到达时间,同时解决了距离、时间差和频率差问题。在此基础上,设计了空间与地面端间隔自由空间的激光通信系统原型,验证了异步转发器测距方法。在数据速率为2.5 Gbps的双工激光通信演示中,我们获得了非常高的精度,双向测距精度为5.4 mm,频率差标准差为3.4×10−13,时差标准差为2.9 ns。这种高精度的测距精度对于轨道确定是有价值的,并且精确测量时间和频率差可以用于高稳定性地面时钟对卫星时钟的约束。
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引用次数: 0
Low-complexity Successive Cancellation List Decoding for Polar Codes based on SPRT 基于SPRT的极码低复杂度逐次消列译码
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770542
Wenpeng Li, L. Du, Yuevun Chen
Successive cancellation list (SCL) decoding algorithm for polar codes is one of the best decoding algorithms due to its excellent decoding performance. The decoding complexity of conventional SCL decoding algorithm is O(LN log N). The decoding complexity will increase as the size of the list increases. To solve this problem, we introduce an improved SCL decoding algorithm based on the sequential probability ratio test (SPRT). The proposed algorithm use double thresholds to decode the polar codes instead of single threshold decision used by the conventional SCL algorithm. Numerical results have shown that for (1024, 512) polar code, the proposed SPRT-SCL decoder can achieve a reduction in decoding complexity, and keep the similar decoding performance compared with conventional SCL decoder.
连续消去表(SCL)译码算法由于其优异的译码性能,是目前最理想的译码算法之一。传统的SCL译码算法的译码复杂度为0 (LN log N),译码复杂度会随着列表大小的增加而增加。为了解决这一问题,我们提出了一种改进的基于序列概率比检验(SPRT)的SCL译码算法。该算法采用双阈值对极码进行译码,取代了传统SCL算法的单阈值译码。数值结果表明,对于(1024,512)极码,SPRT-SCL译码器可以降低译码复杂度,并保持与传统SCL译码器相似的译码性能。
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引用次数: 0
A Hybrid Solution of SDN Architecture for 5G Mobile Communication to Improve Data Rate Transmission 5G移动通信的SDN架构混合解决方案,提高数据传输速率
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770664
M. N. Irshad, Liping Du, I. A. Khoso, T. Javed, Muhammad Muzamil Aslam
5G (Fifth generation) is comparatively more advanced telecommunication technology in cellular networks that has higher speed and wide range. 5G technology will be implemented in 2020, which could provide 100 times faster speed rate than the already existing 4G or LTE technologies. Currently Hybrid model is used in 5G architecture. In this study we have involved some critical components of 5G hybrid model for SDN, which are created by virtualization on currently deployed physical SDN networks. Findings from the study of hybrid 5G model would require further development in media transmission and innovation for making more improvements in data rate speed. The Proposed model is based on a scheme, which supports, and is integrated, with both optical and wireless domains. It would be a unified management system which could have the optical components with 5G wireless components.
5G(第五代)是蜂窝网络中相对更先进的通信技术,具有更高的速度和更广的范围。5G技术将于2020年实施,其速度可能比现有的4G或LTE技术快100倍。目前5G架构采用的是Hybrid模式。在本研究中,我们涉及了SDN 5G混合模型的一些关键组件,这些组件是在当前部署的物理SDN网络上通过虚拟化创建的。混合5G模型的研究结果将需要进一步发展媒体传输和创新,以进一步提高数据速率速度。该模型基于一种支持光域和无线域并与之集成的方案。这将是一个统一的管理系统,可以拥有光学组件和5G无线组件。
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引用次数: 6
Cooperative Relaying Network Under SWIPT MIMO System SWIPT MIMO系统下的协同中继网络
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770580
Saleemullah Memon, K. A. Memon, Zhifeng Wang
Energy harvesting (EH) using simultaneous wireless information and power transfer (SWIPT) is an attractive solution in the context of enhancing the battery life of wireless devices for entirely reliable communication systems. Strong signal power can increase the power transfer. However, it also creates more interference in transmitting information, causing the realization of the SWIPT as a challenging problem. In this paper, SWIPT with multi-input-multi-output (MIMO) is considered for two users based on the precoding design. The source node (SN) will send the information and energy concurrently to the relay node (RN) in the first time phase within the SWIPT framework. Then the RN will reassemble the received signal and self-signal based on the decode and forward (DF) relaying protocol in the second time phase. Our target is to increase the EH at the RN under the data rate constraint of the SN and to maximize the data rate and downlink signal-to-interference-plus-noise-ratio (SINR) of the secondary user under the conditions to satisfy the quality of service (QoS) of the first user. Semidefinite relaxation (SDR) and Charnes-cooper transformation techniques are used to solve the nonconvex optimization problem. To support both the optimization problems CVX is premeditated, which is an efficient tool to solve convex and semidefinite programming (SDP) problems.
使用同步无线信息和电力传输(SWIPT)的能量收集(EH)是一种有吸引力的解决方案,可以为完全可靠的通信系统提高无线设备的电池寿命。强信号功率可以增加功率传输。然而,它也给信息传输带来了更多的干扰,使得SWIPT的实现成为一个具有挑战性的问题。本文考虑了基于预编码设计的双用户多输入多输出(MIMO) SWIPT。在SWIPT框架内,源节点(SN)在第一个时间阶段将信息和能量并发地发送给中继节点(RN)。然后,RN将在第二时间阶段基于解码和转发(DF)中继协议重新组装接收信号和自信号。我们的目标是在SN的数据速率约束下提高RN处的EH,在满足第一用户的服务质量(QoS)的条件下,最大限度地提高第二用户的数据速率和下行信噪比(SINR)。采用半定松弛(SDR)和Charnes-cooper变换技术求解非凸优化问题。为了支持这两种优化问题,CVX是一种有效的求解凸半定规划问题的工具。
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引用次数: 4
A Novel Wideband Shorted-Patch Antenna with A π—Shaped Slot Under Three Resonant Modes 三种谐振模式下带π形槽的新型宽带短贴片天线
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770686
Taohua Chen, Yueyun Chen, Rongling Jian, Zushen Liu
In this paper, a novel wideband shorted-patch antenna with a π-shaped slot under three resonant modes is proposed. A horizontal rectangular slot is introduced on the shorted patch to excite two odd modes with close frequency points, the initial shorted patch resonates at TM30 mode and the larger patch without shorting wall connected, which created by the horizontal rectangular slot operates at TM10 mode. Furthermore, two symmetrical vertical rectangular slots are cut on the larger patch to reduce the frequency of TM12mode of larger patch, and the three rectangular slots form a π-shaped slot. Moreover, a semicircular ring slot is used to achieve a good impedance matching. Based on the arrangements above, a wideband shorted-patch antenna can finally be realized. The simulation results show that the impedance bandwidth of proposed shorted-patch antenna for [S11] < −10 dB is extended to 42.8% at the profile of 0.067 free-space wavelength. Additionally, the proposed antenna maintains a stable radiation pattern over the operating band.
本文提出了一种在三种谐振模式下具有π形缝隙的新型宽带短贴片天线。在短贴片上引入一个水平矩形槽,激励两个频率点相近的奇模,初始短贴片谐振于TM30模式,由水平矩形槽产生的无短壁连接的较大贴片工作于TM10模式。在较大的贴片上切割两个对称的垂直矩形槽,以降低较大贴片的tm12模式频率,三个矩形槽形成π形槽。此外,采用半圆环形槽实现了良好的阻抗匹配。基于上述布置,最终实现了宽带短贴片天线。仿真结果表明,在自由空间波长为0.067的情况下,[S11] <−10 dB的短贴片天线的阻抗带宽扩展到42.8%。此外,所建议的天线在工作频带上保持稳定的辐射方向图。
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引用次数: 0
A Novel Millimeter Wave Channel Estimation Algorithm Based on IC-ELM 一种基于IC-ELM的毫米波信道估计算法
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770671
Jie Miao, Yueyun Chen, Zhiyuan Mai
The millimeter wave (mmWave) communication with high frequency bands can improve the capacity of the wireless network significantly. However, the large bandwidth and time varying characteristic of the mmWave channel lead to a large increase in the computational complexity of conventional channel estimation algorithms. In this paper, we proposed a novel mmWave channel estimation algorithm based on Imperialist Competitive-Extreme Learning Machine (IC-ELM). The number of hidden neurons is optimized by Imperialist Competitive Algorithm (ICA) in the structure of Extreme Learning Machine (ELM) according to the mean square error (MSE) between the actual and estimated channel state information (CSI). The IC-ELM is trained by the channel frequency response (CFR) of pilot positions to learn the channel characteristics. Further, the CSI of mmWave channel can be estimated by the trained IC-ELM network. Compared with conventional channel estimation algorithms, the simulation results show that the proposed IC-ELM mmWave channel estimation algorithm can achieve better performance in terms of MSE and bit error rate (BER). And the proposed IC-ELM is available in different types of mmWave channel models.
高频段毫米波通信可以显著提高无线网络的容量。然而,由于毫米波信道的大带宽和时变特性,导致传统信道估计算法的计算复杂度大大增加。在本文中,我们提出了一种新的基于帝国竞争极限学习机(IC-ELM)的毫米波信道估计算法。在极限学习机(ELM)结构中,根据信道实际状态信息(CSI)与估计状态信息(CSI)之间的均方误差(MSE),采用帝国主义竞争算法(ICA)优化隐藏神经元的数量。利用导频位置的信道频率响应(CFR)对IC-ELM进行训练,学习信道特性。此外,通过训练好的IC-ELM网络可以估计毫米波信道的CSI。仿真结果表明,与传统信道估计算法相比,所提出的IC-ELM毫米波信道估计算法在MSE和误码率(BER)方面具有更好的性能。所提出的IC-ELM可用于不同类型的毫米波信道模型。
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引用次数: 3
A Modified DAG-SVM Algorithm for the Fault Diagnosis in Satellite Communication System 卫星通信系统故障诊断的改进DAG-SVM算法
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770584
Xiubo Sun, Hongbo Zhao, Changbiao Lei, Haoqiang Liu, Guangxuan Zhu
With the continuous development of satellite industry, online monitoring and fault diagnosis for satellite communication system becomes more important. Due to the difficulty in obtaining sufficient features of communication system, the conventional multi-classification algorithm Directed Acyclic Graph Support Vector Machine (DAG-SVM) has low diagnostic efficiency and poor coupling diagnosis performance. On the other hand, it has been proved that extending the feature space can effectively improve the classification performance. Therefore, this paper proposed a modified multi-classification algorithm called Feature-Extended Directed Acyclic Graph Least Square Twin Support Vector Machine (FEDAG-LSTSVM). The new algorithm combined all the initial features and their random combinations to establish coupling and redundancy for every feature, and then constructed the Separable Metric (SM) as classification measurement to arrange the structure sequencing of DAG-LSTSVM. To verify the utility of the algorithm, the standard monitoring signal indicators in satellite communication system were taken as experimental data. Preliminary simulation results demonstrate that the proposed algorithm improves the fault diagnosis accuracy to 89.69% but with 54.20% less computational time in 10-fold cross-validation compared with DAG-SVM, which means it can be well applied to diagnose fault for satellites communication system.
随着卫星工业的不断发展,卫星通信系统的在线监测与故障诊断变得越来越重要。传统的多分类算法有向无环图支持向量机(DAG-SVM)由于难以获得通信系统的充分特征,诊断效率低,耦合诊断性能差。另一方面,扩展特征空间可以有效地提高分类性能。为此,本文提出了一种改进的多分类算法——特征扩展有向无环图最小二乘双支持向量机(FEDAG-LSTSVM)。该算法将所有初始特征及其随机组合组合在一起,建立每个特征的耦合和冗余性,然后构造可分离度量(SM)作为分类度量来安排DAG-LSTSVM的结构排序。为了验证算法的有效性,以卫星通信系统中标准监测信号指标为实验数据。初步仿真结果表明,与DAG-SVM相比,该算法在10倍交叉验证下将故障诊断准确率提高到89.69%,计算时间减少54.20%,可以很好地应用于卫星通信系统的故障诊断。
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引用次数: 0
A Cross-region Wireless-synchronization - based TDOA Method for Indoor Positioning Applications 一种基于跨区域无线同步的室内定位TDOA方法
Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770637
Xinghang Zhou, Cheng Xu, Jie He, Jiawang Wan
Wireless positioning technology based on TDOA is an effective supplement to GPS-denied environment. However, traditional TDOA technologies often require precise time synchronization, a process that is usually done wired. It greatly increases the difficulty of deployment and limit the scope of application of the system. At the same time, cross-regional TDOA deployment application is also the main difficulty of the current research. Therefore, a cross-region TDOA positioning method based on wireless time synchronization is proposed in this paper to achieve high-precision time synchronization and improve the positioning accuracy and robustness of the system.
基于TDOA的无线定位技术是对gps拒绝环境的有效补充。然而,传统的TDOA技术通常需要精确的时间同步,这一过程通常是通过有线完成的。这大大增加了系统的部署难度,限制了系统的应用范围。同时,跨区域TDOA部署应用也是当前研究的主要难点。为此,本文提出了一种基于无线时间同步的跨区域TDOA定位方法,实现高精度的时间同步,提高系统的定位精度和鲁棒性。
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引用次数: 2
5G Enhanced Service-based Core Design 5G增强型业务核心设计
Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770604
J. Lu, Limin Xiao, Zhigang Tian, Ming Zhao, Wenbo Wang
5G is supposed to support not only explosive growth of mobile traffic but also massive number of connected devices. Simply evolving current 4G Long Term Evolution (LTE) networks can't meet the demand of 5G. 3rd Generation Partnership Project (3GPP) has proposed Service-Based Architecture (SBA) core network in release 15. But SBA also brings great complexity and big challenges to core network development and deployment. To solve challenging requirements related to SBA, 3GPP is working on enhancements to SBA design in release 16. We propose an enhanced SBA design called Not-Only-Stack (NoStack), including efficient inter-service communication mechanism and management plane for Network Functions (NFs) managing. The main idea of NoStack is to decouple business logic from inter-service communication to improve service agility. We also carry out some evaluations on performance of different inter-service communication mechanisms.
5G不仅要支持移动流量的爆炸式增长,还要支持大量连接设备。单纯发展现有的4G LTE网络无法满足5G的需求。第三代合作伙伴计划(3GPP)在第15版中提出了基于服务的体系结构(SBA)核心网。但SBA也给核心网的开发和部署带来了很大的复杂性和挑战。为了解决与SBA相关的挑战性需求,3GPP正在版本16中对SBA设计进行增强。本文提出了一种改进型的SBA设计,即NoStack (Not-Only-Stack),包括高效的服务间通信机制和用于网络功能管理的管理平面。NoStack的主要思想是将业务逻辑与服务间通信解耦,以提高服务的敏捷性。我们还对不同服务间通信机制的性能进行了一些评估。
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引用次数: 3
Cost Minimization for Cooperative Mobile Edge Computing Systems 协同移动边缘计算系统的成本最小化
Pub Date : 2019-05-01 DOI: 10.1109/WOCC.2019.8770556
Weijian Chen, Yejun He, Jian Qiao
Mobile Edge Computing (MEC) is a promising technique that provides distributed computing and storage resources at the edge of a network. In this talk, we investigate a stochastic optimization problem to minimize the cost of MEC system. Firstly, we use the stability of the task buffer queue as constraints to formulate the cost minimization problem. Then we propose the Lyapunov optimization theory to transform the original problem into a deterministic problem. The optimal CPU frequency and optimal transmit power can be obtained in a closed form. In addition, we establish a [O(1V), O(V)] tradeoff between the system cost and execution latency. Simulation results are provided to verify theoretical analysis and demonstrate the effects of various parameters.
移动边缘计算(MEC)是一种很有前途的技术,它在网络边缘提供分布式计算和存储资源。在这个演讲中,我们研究了一个随机优化问题,以最小化MEC系统的成本。首先,我们以任务缓冲队列的稳定性作为约束来制定成本最小化问题。然后提出李雅普诺夫优化理论,将原问题转化为确定性问题。最优的CPU频率和最优发射功率可以在一个封闭的形式中得到。此外,我们在系统成本和执行延迟之间建立了一个[O(1V), O(V)]的权衡。仿真结果验证了理论分析和各种参数的影响。
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引用次数: 3
期刊
2019 28th Wireless and Optical Communications Conference (WOCC)
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