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2019 IEEE 19th International Conference on Communication Technology (ICCT)最新文献

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Resource Allocation for Outage Probability Minimization in Cognitive Wireless Powered Communication Networks 认知无线供电通信网络中最小中断概率的资源分配
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947186
Qun Li, Ding Xu
This paper considers a cognitive wireless powered communication network (CWPCN) consisting of a cognitive base station (CBS) and a set of secondary users (SUs) sharing spectrum with a primary user (PU). The transmission time is assumed to be divided into two parts, where the CBS transfers energy in the downlink during the first time part, and the SUs use the harvested energy to transmit in the uplink based on the time-division multiple access (TDMA) during the second time part. We investigate the problem for minimizing the average outage probability of the SUs by jointly optimizing the time allocation and the downlink transmit power allocation under the interference power and the transmit power constraints and propose a heuristic algorithm to solve it. Simulations show that the proposed algorithm greatly outperforms the benchmark algorithms.
本文研究了一种由认知基站(CBS)和一组与主用户(PU)共享频谱的辅助用户(su)组成的认知无线供电通信网络(CWPCN)。假设传输时间分为两部分,其中在第一部分时间内,CBS在下行链路传输能量,在第二部分时间内,su使用收集的能量在基于时分多址(TDMA)的上行链路中传输。研究了在干扰功率和发射功率约束下,通过联合优化时间分配和下行发射功率分配来最小化单元平均中断概率的问题,并提出了一种求解该问题的启发式算法。仿真结果表明,该算法大大优于基准算法。
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引用次数: 0
Study on the Frequency-Modulated Continuous-Wave LiDAR Mutual Interference 调频连续波激光雷达相互干扰研究
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947067
Il-Pyeong Hwang, Seok-jun Yun, Chang-Hee Lee
We present mutual interference problems in the frequency-modulated continuous-wave (FMCW) LiDAR. There are two types of the mutual interference, the transient interference, and the in-band interference. We show that the former case induces degradation of signal-to-noise ratio (SNR) in measurement, and the latter case can introduce ghost images and/or objects in 3-D mapping.
提出了调频连续波激光雷达中存在的相互干扰问题。相互干扰有两种类型:瞬态干扰和带内干扰。我们表明,前一种情况会导致测量中的信噪比(SNR)下降,后一种情况会在三维映射中引入鬼像和/或物体。
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引用次数: 6
NOMA-based Integrated Satellite-Terrestrial Multi-relay Networks with Hardware Impairments and Partial Relay Selection Scheme 基于noma的卫星地面综合多中继网络及部分中继选择方案
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947073
K. Guo, Zengxi Ji, Bohang Yang, Xueling Wang
This paper investigates the impacts of hardware impairments (HIs) and partial relay selection (PRS) scheme on non-orthogonal multiple access (NOMA)-based integrated satellite-terrestrial multi-relay networks (ISTMRNs). NOMA technology can bring us significant spectral efficiency, high frequency utilization ratio and reliability for it can transmit signal to multiple destinations simultaneously. Besides, we utilize PRS scheme to obtain better system performance. Specifically, we derive the closed-form expression of the outage probability (OP) for the considered system in the presence of HIs and PRS scheme. To gain further insights at high signal-to-noise ratios (SNRs), the asymptotic expression for the OP is also derived. Numerical Monte Carlo (MC) results are provided to verify the correctness
研究了硬件缺陷(HIs)和部分中继选择(PRS)方案对基于非正交多址(NOMA)的星地综合多中继网络(istmrn)的影响。NOMA技术可以同时向多个目的地传输信号,可以为我们带来显著的频谱效率、高频率利用率和高可靠性。此外,我们利用PRS方案来获得更好的系统性能。具体地,我们导出了考虑的系统在HIs和PRS方案下的停电概率(OP)的封闭表达式。为了在高信噪比(SNRs)下获得进一步的见解,还推导了OP的渐近表达式。给出了数值蒙特卡罗(MC)结果来验证该方法的正确性
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引用次数: 7
Noncontact Sleep Stage Classification Based on Multi-sensor Feature Level Fusion 基于多传感器特征水平融合的非接触睡眠阶段分类
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947162
Jie Jiang, Y. Jiang, Xiaoyan Qiu, Boda Li, Junnan Shi, Pengfei Wang
This paper presents a new method to realize noncontact sleep stage classification which is based on multi-sensor feature level fusion. The method has be implemented by processing vital signs related to sleep and extracting features from continues wave (CW) Doppler radar sensor and audio sensor. And a novel feature level fusion model is proposed and trained based on machine learning algorithm. Assisting with Polysomnography (PSG) standard sleep stages, the feature level fusion model has achieved high accuracy in noncontact sleep stage classification.
提出了一种基于多传感器特征级融合的非接触睡眠阶段分类方法。该方法通过处理与睡眠相关的生命体征,并从连续波多普勒雷达传感器和音频传感器中提取特征来实现。提出了一种基于机器学习算法的特征级融合模型,并对其进行了训练。结合多导睡眠图(PSG)标准睡眠阶段,特征级融合模型在非接触睡眠阶段分类中取得了较高的准确率。
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引用次数: 1
Finite Feedback Interference Alignment Algorithm Based on Upper Triangular Decomposition 基于上三角分解的有限反馈干涉对准算法
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947000
Xianglin Wu
In the receiving system with multi-cell edge users, the traditional limited feedback precoding method has quantization error and the system performance is not ideal. Therefore, a limited feedback precoding algorithm based on upper triangular decomposition is proposed. First, Adjust the system channel matrix by considering the channel quality of the cell user; Secondly, The joint channel is triangulated to obtain an equivalent model, and all users’ data streams are integrated for water injection method power allocation; Finally, the precoding matrix and the interference suppression matrix are designed by minimizing the interference leakage and the minimum mean square error criterion. The simulation results show that the proposed algorithm can reduce the quantization error and improve the performance of the system.
在多小区边缘用户的接收系统中,传统的有限反馈预编码方法存在量化误差,系统性能不理想。为此,提出了一种基于上三角分解的有限反馈预编码算法。首先,根据小区用户的信道质量对系统信道矩阵进行调整;其次,对联合通道进行三角剖分,得到等效模型,并对所有用户的数据流进行整合,进行注水方式功率分配;最后,根据干扰泄漏最小和均方误差最小准则设计了预编码矩阵和干扰抑制矩阵。仿真结果表明,该算法可以减小量化误差,提高系统性能。
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引用次数: 0
NOMA-aided Hybrid SWIPT for Full-Duplex Massive MIMO Systems 全双工大规模MIMO系统的noma辅助混合SWIPT
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947226
Na Li, Dongmei Zhang, Kui Xu, Meng Wang, Wei Xie, Jianhui Xu, Qingsong Zhang, Ximing Li
This paper studies the hybrid simultaneously wireless information and power transfer (SWIPT) protocol for full-duplex (FD) massive multiple-input multiple-output (MIMO) systems. A wireless energy transmission method combining time-switching (TS) and power-splitting (PS) is proposed to enable the sensor to receive more energy from the base station (BS). In the case of relatively concentrated sensor or user distribution, non-orthogonal multiple access (NOMA) is applied during the information transmission phase. At last, we optimize the beamforming matrix to maximize the downlink (DL) sum-rate. Simulation results show that the proposed NOMA-aided hybrid SWIPT protocol outperforms traditional schemes.
研究了全双工(FD)大规模多输入多输出(MIMO)系统的无线信息与功率混合传输(SWIPT)协议。为了使传感器从基站接收到更多的能量,提出了一种结合时间切换和功率分割的无线能量传输方法。在传感器或用户分布相对集中的情况下,在信息传输阶段采用非正交多址(NOMA)。最后,我们对波束形成矩阵进行了优化,使下行链路和速率最大化。仿真结果表明,所提出的基于noma的混合SWIPT协议优于传统协议。
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引用次数: 0
5G Edge Cloud Networking and Case Analysis 5G边缘云组网及案例分析
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947289
Lyu Huazhang, Zhonghao Zhang, Shuai Gao
Edge cloud will play an important role in the era of 5G. As an important part in 5G network architecture, it not only provides sinking of cloud resources for the edge deployment of 5G virtualization network elements, but also provides various platform capabilities for third-party applications through the ability opening platform, enabling innovative business to improve user experience. This paper introduces the network structure and evolution mode of 5G NSA and 5G SA MEC edge cloud, analyzes several kinds of factors that affect operators’ construction of MEC edge cloud, and gives the ideal structure composition of MEC edge cloud platform. At last, it lists the key technology of edge cloud and mature scenario case analysis.
边缘云将在5G时代发挥重要作用。作为5G网络架构的重要组成部分,不仅为5G虚拟化网元的边缘部署提供云资源下沉,还通过能力开放平台为第三方应用提供各种平台能力,使创新业务提升用户体验。介绍了5G NSA和5G SA MEC边缘云的网络结构和演进模式,分析了影响运营商构建MEC边缘云的几种因素,给出了MEC边缘云平台的理想结构组成。最后,列举了边缘云的关键技术和成熟场景案例分析。
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引用次数: 2
Improving 3D NAND Flash Memory Read Performance by Modeling the Read Offset 通过建模读取偏移来提高3D NAND闪存的读取性能
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947110
Weijie Lin, Jing Chen, Xuhang Zhang, Zhiyuan Cheng
The shift of the threshold voltage distribution in 3D (three dimensional) NAND flash memory can lead to the overlapping of adjacent states, and subsequently read error. By merely adopting the default value provided by the manufacturer, the read offset in the controller could not keep low raw bit error rate (RBER) in the retention process. In this paper, we have developed a read offset model based on the dimensions of word-line (WL) and the shift of retention variations. Through mining the offline data, this new model can adjust to a more suitable read offset during retention variations. We have further proposed three different kinds of read voltage management strategies. Our experiment results show that this new model can optimize the read offset value and reduce the RBER effectively compared to the default setting provided by the manufacturer, and thus improve the reliability and performance of flash memory.
三维NAND闪存中阈值电压分布的偏移会导致相邻状态的重叠,从而导致读取错误。如果仅仅采用制造商提供的默认值,控制器中的读偏移量在保持过程中无法保持较低的原始误码率(RBER)。在本文中,我们建立了一个基于词线(WL)的维度和保留变化的偏移的读偏移模型。通过对离线数据的挖掘,该模型可以在保留变化时调整到更合适的读偏移量。我们进一步提出了三种不同的读电压管理策略。实验结果表明,与厂商提供的默认设置相比,该模型可以有效地优化读偏移值,降低RBER,从而提高闪存的可靠性和性能。
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引用次数: 3
Fused Confidence for Scene Text Detection via Intersection-over-Union 基于交叉合并的场景文本检测融合置信度
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947307
Guo-lin Zhang, L. Ge, Yu-nuo Yang, Yu-qi Liu, Kexue Sun
CNN-based scene text detection methods have achieved superior results. They are mostly implemented on the architecture of full convolution networks and non-maximum suppression (NMS) which combines two tasks of text classification and localization. However, in the NMS procedure, most filter the bounding boxes according to the classification confidence. This makes appropriately those well-located text boxes suppressed during NMS. In this paper, we propose an intersection-over-union (IOU) network to predict the IOU between the bounding box and the matched ground-truth. Then, the predicted IOU as localization confidence will be fused with the classification confidence. Furthermore, in the NMS, the classification confidence is replaced by the fused confidence as the ranking standard to preserve the accurately located text boxes. We experimented on the ICDAR2011 and ICDAR2013 datasets, the results show that the method proposed in this paper can effectively improve the accuracy of text detection.
基于cnn的场景文本检测方法取得了优异的效果。它们大多是在全卷积网络和非最大抑制(NMS)的架构上实现的,NMS结合了文本分类和定位两个任务。然而,在NMS过程中,大多数是根据分类置信度对边界框进行过滤。这使得在NMS期间适当地抑制了那些位置良好的文本框。在本文中,我们提出了一个交叉-超并(IOU)网络来预测边界框与匹配的真值之间的IOU。然后,将预测的IOU作为定位置信度与分类置信度融合。此外,在NMS中,将分类置信度替换为融合置信度作为排序标准,以保留准确定位的文本框。在ICDAR2011和ICDAR2013数据集上进行了实验,结果表明本文提出的方法可以有效地提高文本检测的准确率。
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引用次数: 3
An Improved Sound Source Location Method for MEMS Microphone Array 一种改进的MEMS麦克风阵列声源定位方法
Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947027
Bingyang Li, Tailiang Ju
MEMS (Micro Electro Mechanical System) microphone array is the most commonly used microphone array selection at this stage. However, in actual use, the microphones cannot receive omnidirectional audio signals, when they are soldered on the other side of the PCB. Therefore, for the practical application of MEMS microphone array, this paper proposes a new microphone array receiving signal model, and improves the traditional beamforming algorithm, in order to improve the resolution of MEMS microphone when receiving signals at small angles. At the same time this paper built a practical test system to verify the reliability of the new model.
MEMS(微机电系统)麦克风阵列是现阶段最常用的麦克风阵列选择。然而,在实际使用中,当麦克风焊接在PCB的另一侧时,麦克风无法接收全向音频信号。因此,针对MEMS麦克风阵列的实际应用,本文提出了一种新的麦克风阵列接收信号模型,并对传统的波束形成算法进行了改进,以提高MEMS麦克风在小角度接收信号时的分辨率。同时,本文建立了一个实际的测试系统来验证新模型的可靠性。
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引用次数: 1
期刊
2019 IEEE 19th International Conference on Communication Technology (ICCT)
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