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

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Design of a Multi-Core Scheduling Scheme for Tera-bit/s LDPC Decoding 太比特/秒LDPC解码的多核调度方案设计
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770608
Qiangyi Zhao, L. Yin
$A$ scheduling scheme for multi-core Low-Density Parity-Check (LDPC) decoding is proposed to make full use of logical resources and to maximize the decoding throughput in the high-speed communication systems. In the proposed scheme, consecutive code blocks are processed in different decoding cores according to a variable allocation sequence which is decided by the parity checking result of the decoding sequence. And the scheme is mathematically analyzed with the Gaussian approximation analyzing algorithm and the Sum-Product Algorithm (SPA). It is shown that the proposed scheme can improve the decoding throughput by up to 130% compared to the conventional multicore parallel architectures.
为了在高速通信系统中充分利用逻辑资源,最大限度地提高解码吞吐量,提出了一种多核低密度奇偶校验(LDPC)解码调度方案。在该方案中,连续的码块在不同的译码核中按照由译码序列奇偶校验结果决定的可变分配顺序进行处理。并利用高斯逼近分析算法和和积算法对该方案进行了数学分析。实验结果表明,与传统的多核并行架构相比,该方案可将解码吞吐量提高130%。
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引用次数: 0
Standardization Evolution and Typical Solutions of IoV 车联网标准化演进及典型解决方案
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770607
J. Qiu, Y. Chen, Xiaomei Zhang, Q. Liu, W. Li, Y. Pei, L. Liu
The Internet of Vehicles (IoV) is changing the smart life on the wheels through multiple interactions among vehicle, road, people and network, providing a safer, more efficient and more energy-efficient driving experience. This paper introduces the standardization process of V2X and summarizes the key technologies of LTE-V2X. Additionally, two typical use case solutions of IoV are proposed, including remote driving and platooning.
车联网(IoV)正在通过车辆、道路、人员和网络之间的多重交互,改变车轮上的智能生活,提供更安全、更高效、更节能的驾驶体验。介绍了V2X的标准化进程,总结了LTE-V2X的关键技术。此外,还提出了两种典型的车联网用例解决方案:远程驾驶和队列驾驶。
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引用次数: 3
0Satellite communication used in the non-geostationary Fixed-satellite service systems and Earth-exploration satellite service (passive) systems 非地球静止卫星固定业务系统和地球探测卫星业务(无源)系统中使用的卫星通信
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770566
Jianxin Li, Honggang Yin, Xiaoyan Zhang
This paper is about the satellite communication and focused on compatibility study between non-geostationary fixed-satellite service systems and Earth-exploration satellite service (passive) systems. It mainly carried out the analysis of the nearby band interferences to geostationary passive sensors in the Earth-exploration satellite service in the 50.2-50.4 GHz frequency band that may occur from the fixed-satellite service systems in the 47.2-50.2GHz and 50.4-51.4 GHz frequency band in low Earth orbit and medium Earth orbit respectively. The research made the conclusion that the avoidance angle as a possible interference mitigation technique could be used between the non-geostationary fixed-satellite service systems and the geostationary Earth-exploration satellite service systems. The result shows that, in order to achieve the compatibility in the same frequency band, the geostationary avoidance angle for the non-geostationary fixed-satellite service earth stations should not be less than 10°.
本文以卫星通信为研究对象,重点研究了非静止卫星固定业务系统与地球探测卫星(被动)业务系统之间的兼容性问题。主要分析了低地球轨道47.2-50.2GHz和中地球轨道50.4-51.4 GHz固定卫星业务系统分别对50.2-50.4 GHz频段地球探测卫星业务中静止无源传感器可能产生的近波段干扰。研究认为,在非地球静止固定卫星业务系统与地球静止地球探测卫星业务系统之间,可以采用避角技术作为一种可能的干扰抑制技术。结果表明,为实现同频段兼容,非同步固定卫星业务地面站的同步回避角不应小于10°。
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引用次数: 3
Task Execution Latency Minimization-based Joint Computation Offloading and Cell Selection for MEC-Enabled HetNets 基于任务执行延迟最小化的MEC-Enabled HetNets联合计算卸载和单元选择
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770582
Waleed Almughalles, Rong Chai, Junliang Lin, Ahmad Zubair
Multi-access edge computing (MEC) is a promising platform for cellular heterogeneous networks (HetNets). It brings the computation services of the core cloud into the nearest point of mobile devices (MDs). This paper jointly studies the problem of computation offloading and cell selection strategies in MEC-enabled HetNets under the assumption that MD can select one of the three ways to execute its task, i.e., complete local computing mode, complete MEC computing mode or partial computing mode. The problem of joint computation offloading and cell selection is formulated as a task execution latency minimization problem. This formulated optimization situation is NP-Hard, which is inconvenient to solve. Hence, we deduce the problem into two subproblems which is computation offloading subproblem and cell selection subproblem and propose extensive search method and Khun-Munkres algorithm respectively to obtain the optimal solution. Numerical results show the efficacy of our proposed algorithm.
多接入边缘计算(MEC)是蜂窝异构网络(HetNets)的一个很有前途的平台。它将核心云的计算服务带到最近的移动设备(MDs)点。本文在假设MD可以选择完全本地计算模式、完全MEC计算模式或部分计算模式三种方式中的一种来执行任务的情况下,共同研究了支持MEC的HetNets的计算卸载和单元选择策略问题。将联合计算卸载和单元选择问题表述为任务执行延迟最小化问题。这种公式化的优化情况是NP-Hard,不方便求解。为此,我们将该问题分解为计算卸载子问题和单元选择子问题两个子问题,并分别提出了扩展搜索法和Khun-Munkres算法来求得最优解。数值结果表明了该算法的有效性。
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引用次数: 6
A Dynamic Game Model for Resource Allocation in Fog Computing for Ubiquitous Smart Grid 泛在智能电网雾计算资源分配的动态博弈模型
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770573
Zhi Li, Yanzhu Liu, Rui Xin, Lifang Gao, Xueying Ding, Yu-bo Hu
As a new paradigm providing economic and low latency network, Fog computing can provide storage and computational capabilities to the electrical users. Since the Ubiquitous Smart Grid environment is complex and dynamic, it is an important problem for electrical provider to allocate the non-infinite electrical computing resources of nodes to reach an optimal and state performance. To maximum the benefits and resource utilization while satisfying users requests, it is essential for service provider to allocate resources adaptively for different conditions. In this paper, we propose a dynamic resource optimization allocation framework for the problem of Fog resource allocation for Ubiquitous Smart Grid. A dynamic differential game model is modeled and analyzed to solve the independent optimization. The experiments results support a theoretical foundation that can help service provider make the optimal dynamic strategies when users change their strategies.
雾计算作为一种经济、低延迟的网络新范式,可以为电力用户提供存储和计算能力。由于无处不在的智能电网环境是复杂和动态的,如何分配节点的非无限电计算资源以达到最优状态性能是电商面临的一个重要问题。为了在满足用户需求的同时实现效益最大化和资源利用率最大化,服务提供者必须根据不同的条件自适应地分配资源。针对泛在智能电网的雾资源分配问题,提出了一种动态资源优化分配框架。为解决独立优化问题,建立了动态微分对策模型。实验结果为服务提供商在用户改变策略时制定最优动态策略提供了理论基础。
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引用次数: 7
Secrecy Performance Analysis for Hybrid Satellite Terrestrial Relay Networks with Multiple Eavesdroppers 多窃听器混合卫星地面中继网络保密性能分析
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770527
Rui Xu, D. Guo, Bangning Zhang, K. Guo, Cheng Li
In this paper, we investigate the secrecy performance of hybrid satellite terrestrial relay networks (HSTRN) with multiple eavesdroppers, particularly, all nodes in the networks are equipped with single antenna, respectively. In addition, we propose two selection schemes in the networks, namely, Case I, which means choosing the larger secrecy capacity among Satellite-Relay and Relay-Destination; Case II, which is choosing the lower secrecy capacity among Satellite-Relay and Relay-Destination. Furthermore, we derive the closed-form expressions for the secrecy outage probability (SOP) of the HSTRN based on the proposed two selection schemes, which provide a fast means to evaluate the impact of system parameters and selection schemes on the secrecy system performance. In order to study the impact of system parameters and selection schemes at high SNRs, we obtain the asymptotic expressions of the SOP of the HSTRN. Finally, in order to verify the accuracy of the analysis described in this paper, simulation results are given.
本文研究了多窃听器的混合卫星地面中继网络(HSTRN)的保密性能,特别是网络中所有节点分别配备单天线。此外,我们提出了两种网络选择方案,即Case I,即在Satellite-Relay和Relay-Destination中选择较大的保密容量;情形二,即在卫星-中继和中继-目的地之间选择较低的保密能力。基于所提出的两种选择方案,推导出了HSTRN保密中断概率(SOP)的封闭表达式,为评估系统参数和选择方案对保密系统性能的影响提供了一种快速手段。为了研究高信噪比下系统参数和选择方案的影响,我们得到了HSTRN的SOP的渐近表达式。最后,为了验证本文分析的准确性,给出了仿真结果。
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引用次数: 5
Miniaturized Broadband Slot-Coupled Antenna With Metamaterial Loading 具有超材料加载的小型化宽带槽耦合天线
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770558
G. He, Chenjiang Guo, Jun Ding
A metamaterial-based broadband and high gain antenna is proposed and analysed in this paper. The proposed antenna is mainly made up of a 4×4 mushroom-cells array. We use a microstrip line through a rectangular slot cut on the ground plane to feed the antenna. Then, we use the transmission-line model to explain the resonant principle of the proposed antenna. With the parameters optimization, the dielectric-filled mushroom antenna is with a ground plane of 60×60mm and a low profile of 0.05λ0 (λ0 is the operating wavelength in free space). The simulated impedance bandwidth of the proposed antenna is 30.2% (4.33-5.88 GHz). Moreover, the antenna can achieve a high gain variation (7.1-9.8 dBi) and good cross-polarization levels.
本文提出并分析了一种基于超材料的宽带高增益天线。所提出的天线主要由4×4蘑菇细胞阵列组成。我们使用微带线通过在地平面上切割的矩形槽来为天线供电。然后,我们使用传输在线模型来解释所提出的天线的谐振原理。经参数优化后,介质填充蘑菇天线的地平面为60×60mm,低轮廓为0.05λ0 (λ0为自由空间的工作波长)。仿真天线阻抗带宽为30.2% (4.33 ~ 5.88 GHz)。此外,该天线可以实现高增益变化(7.1-9.8 dBi)和良好的交叉极化水平。
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引用次数: 0
A Pedestrian Detection Model Based on Binocular Information Fusion 基于双目信息融合的行人检测模型
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770601
Juan Zhang, Zhonggui Ma, Nuerxiati Nuermaimaiti
Pedestrian detection, as a special kind of target detection, is a research hotspot in the field of image processing and computer vision. Because monocular vision cannot obtain the depth information of the image, it cannot meet the accuracy requirements of pedestrian detection. In order to solve these problems, a new cascading pedestrian detection model based on PSMNet binocular information fusion and improved faster R-CNN pedestrian detection model is proposed. Firstly, binocular images are fed into the original PSMNet binocular information fusion module to get the disparity map, and then left and right images are fused by the disparity map to get the fusion image. Secondly, in the improved faster R-CNN pedestrian detection module, the left, right and fusion image of one frame are as separate inputs, and pedestrian detection is carried out respectively. Finally, the detection results of the three channels are passed through the target consistency validation module, and the verified pedestrian detection target is as the final output detection result. The simulation results show that the accuracy and recall rate of the cascading model are improved, the missed detection rate is reduced to 13.42%, and the accuracy rate is 88.58%.
行人检测作为一种特殊的目标检测,是图像处理和计算机视觉领域的研究热点。由于单目视觉无法获得图像的深度信息,无法满足行人检测的精度要求。为了解决这些问题,提出了一种新的基于PSMNet双目信息融合和改进的更快R-CNN行人检测模型的级联行人检测模型。首先将双目图像输入原PSMNet双目信息融合模块得到视差图,然后将左右图像进行视差图融合得到融合图像。其次,在改进的更快的R-CNN行人检测模块中,将一帧的左、右和融合图像作为单独的输入,分别进行行人检测。最后将三个通道的检测结果通过目标一致性验证模块,验证后的行人检测目标作为最终输出的检测结果。仿真结果表明,该级联模型的准确率和召回率得到了提高,漏检率降至13.42%,准确率为88.58%。
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引用次数: 0
Challenges of Big Data Implementation in a Public Hospital 公立医院大数据实施的挑战
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770562
Wasinee Noonpakdee, Acharaphun Phothichai, Thitiporn Khunkornsiri
The digitalization of the healthcare system has resulted in a huge amount of data in medicine. These data help healthcare organizations improve health-process efficiency, enhance healthcare quality, and reduce healthcare cost. In Thailand, several private hospitals obtain numerous benefits by utilizing big data analytics. However, public hospitals might encounter with some difficulties for implementing big data technology. This paper presents challenges of big data implementation in a case study public hospital. According to the analysis, challenges are discussed in aspects of technology, data, human, and organization. The recommendation for implementing big data is proposed as a guideline for big data implementation in the public hospital.
医疗保健系统的数字化产生了大量的医学数据。这些数据可帮助医疗保健组织提高医疗保健流程效率、提高医疗保健质量并降低医疗保健成本。在泰国,几家私立医院通过利用大数据分析获得了许多好处。然而,公立医院在实施大数据技术时可能会遇到一些困难。本文以公立医院为例,介绍了大数据实施的挑战。根据分析,在技术、数据、人员和组织方面讨论了挑战。提出实施大数据的建议,作为公立医院实施大数据的指导意见。
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引用次数: 1
Modeling and Performance Optimization of Heterogeneous Cellular and D2D Networks 异构蜂窝和D2D网络的建模和性能优化
Pub Date : 2019-05-09 DOI: 10.1109/WOCC.2019.8770597
Nuerxiati Nuermaimaiti, Zhonggui Ma, Xing Zheng Wu
With the development of large-scale integrated circuits and Internet, 5G has become the hot topic of current mobile communication. Device-to-device communication (D2D) is one of the key technologies of 5G. In this paper, considering the in-band communication, we use the Poisson cluster process (PCP) to model and analyze the heterogeneous cellular and D2D networks. Firstly, we use the Thomas cluster process to model cellular users and D2D users. Secondly, we analyze the aggregated interference of the typical D2D receiver in the heterogeneous cellular and D2D networks. Then we analyze the Laplace transform of the aggregated interference and deduce the coverage probability of the typical D2D receiver. Simulation results show that the path loss exponent and D2D users' distribution density have significant influence on the performance of heterogeneous cellular and D2D networks. Compared with the grid model and PPP model, PCP model can realize the performance optimization of the clustered D2D networks.
随着大规模集成电路和互联网的发展,5G已经成为当前移动通信的热门话题。设备到设备通信(D2D)是5G的关键技术之一。在本文中,考虑到带内通信,我们使用泊松聚类过程(PCP)来建模和分析异构蜂窝和D2D网络。首先,我们使用Thomas聚类过程对蜂窝用户和D2D用户进行建模。其次,分析了异构蜂窝和D2D网络中典型D2D接收机的聚合干扰。然后分析了汇聚干扰的拉普拉斯变换,推导了典型D2D接收机的覆盖概率。仿真结果表明,路径损耗指数和D2D用户分布密度对异构蜂窝网络和D2D网络的性能有显著影响。与网格模型和PPP模型相比,PCP模型可以实现聚类D2D网络的性能优化。
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引用次数: 2
期刊
2019 28th Wireless and Optical Communications Conference (WOCC)
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