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2021 IEEE/CIC International Conference on Communications in China (ICCC)最新文献

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Enhanced Switch Design Supporting Dual Preemption Under Real-Time Ethernet 支持实时以太网双抢占的增强交换机设计
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580258
Nianshi Li, Kun Qian, Fengyuan Ren
Because of the advantages of high bandwidth, low cost, and architecture openness, Ethernet is increasingly used in the industrial Internet to support both time-critical services and conventional communication services on a unified network infrastructure. The biggest challenge right now is to provide low and deterministic latency for time-critical services. Preemption is an effective way to achieve deterministic and low latency. However, the current preemption mechanism has no specific hardware implementation, nor does it describe the restoration after preemption. In this paper, we implement preemption mechanism in hardware and propose two preemption restoration mechanisms: Preemption Restart and Preemption Resume, they are suitable for different scenarios. We also discussed all the details implemented on common commercial switch architectures. Finally, we implement preemption restoration and verify our design in the actual vehicle network topology. Through experiments, we verify the necessity of the preemption mechanism and evaluate the impact of preemption restoration on non-time-critical services.
由于具有高带宽、低成本和体系结构开放性的优点,以太网越来越多地用于工业互联网,在统一的网络基础设施上支持时间关键型业务和传统通信业务。目前最大的挑战是为时间关键型服务提供低且确定的延迟。抢占是实现确定性和低延迟的有效途径。然而,目前的抢占机制没有具体的硬件实现,也没有描述抢占后的恢复。本文在硬件上实现了抢占机制,并提出了两种适用于不同场景的抢占恢复机制:抢占重启和抢占恢复。我们还讨论了在常见商业交换机架构上实现的所有细节。最后,我们实现了抢占恢复,并在实际的车辆网络拓扑中验证了我们的设计。通过实验验证了抢占机制的必要性,并评估了抢占恢复对非时间关键业务的影响。
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引用次数: 0
Non-Coherent Grant-Free Massive IoT Access for mMTC: An Index Modulation Perspective mMTC的非相干无授权大规模物联网访问:索引调制视角
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580224
Lihua Qiao, Zhen Gao, Chen He, Zhenyu Xiao, Dezhi Zheng, Jun Zhang
The grant-free non-coherent index-modulation (NC-IM) has been recently emerging as an efficient embedded information transmission scheme for massive machine-type communications without channel state information, especially for cost-efficient Internet-of- Things (IoT) devices with small data packets. In this paper, we combine the grant-free NC-IM with OFDM for overcoming frequency-selective channel fading. Specifically, each device is allocated with a unique signature sequence codebook and active device transmits one of its signature sequences in each subcarrier. Information is embedded in the index of the transmitted signature sequence. By exploiting the structured sparsity of the equivalent channel matrix in the spatial domain and the common device activity in the subcarrier domain, we propose an efficient space-frequency joint activity and blind information detection algorithm with significantly improved device activity and embedded information detection performance. Simulation results verify the superiority of the proposed algorithm over state-of-the-art algorithms.
无授权非相干索引调制(NC-IM)是近年来出现的一种高效的嵌入式信息传输方案,适用于无信道状态信息的海量机器型通信,特别是具有小数据包的物联网(IoT)设备。本文将无授权NC-IM与OFDM相结合,克服了频率选择信道衰落问题。具体地说,为每个设备分配一个唯一的签名序列码本,主动设备在每个子载波中传输其签名序列之一。信息嵌入到传输签名序列的索引中。通过利用等效信道矩阵在空间域中的结构化稀疏性和子载波域中的公共设备活动,提出了一种有效的空频联合活动和盲信息检测算法,该算法显著提高了设备活动和嵌入式信息检测性能。仿真结果验证了该算法的优越性。
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引用次数: 1
A Zero-Forcing Precoder and Mode Modulation Aided Orbital Angular Momentum Multiplexing Transceiver for Underwater Transmissions 一种用于水下传输的零强迫预编码器和模式调制辅助轨道角动量复用收发器
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580404
Guixun Huang, Lin Zhang, Yan Feng
Orbital angular momentum (OAM) multiplexing can improve the transmission efficiency and provide higher bandwidth for underwater wireless optical communication (UWOC). However, the turbulence effect in ocean would induce the crosstalk between OAM modes, thereby leading to the reliability performance degradations. In this paper, we first utilize the mode modulation in the underwater OAM multiplexing system to deliver extra information bits. Then we add a zero-forcing (ZF) based precoder at the transmitter to mitigate the crosstalk effects to enhance the reliability performances. At the receiver, we propose a two-step maximum likelihood (TSML) detector which has lower complexity than that of the ML detection to recover the transmitted symbols. Moreover, we derive the bit error rate (BER) expressions for the proposed systems operating under perfect or imperfect channel state information (CSI) conditions, and the simulation results validate the theoretical analysis. Last but not the least, the simulated performances of the proposed system under different underwater channel parameters, e.g. the dissipation rate of temperature, the relative strength of temperature and salinity fluctuations and turbulence strengths are investigated and analyzed.
轨道角动量复用可以提高水下无线光通信(UWOC)的传输效率并提供更高的带宽。然而,海洋湍流效应会引起OAM模态之间的串扰,从而导致可靠性性能下降。在本文中,我们首先在水下OAM复用系统中利用模式调制来传递额外的信息位。然后,我们在发射机上增加了一个基于零强迫(ZF)的预编码器,以减轻串扰效应,提高可靠性。在接收端,我们提出了一种比ML检测复杂度更低的两步最大似然(TSML)检测器来恢复传输的符号。此外,我们还推导了在完全信道状态信息(CSI)和不完全信道状态信息(CSI)条件下系统的误码率表达式,仿真结果验证了理论分析。最后,对该系统在不同水下通道参数下的模拟性能,如温度耗散率、温度和盐度波动的相对强度以及湍流强度进行了研究和分析。
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引用次数: 2
Optimum Deployment of UAV Relaying with Mobile Ground User System 基于移动地面用户系统的无人机中继优化部署
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580205
Luoyu Gao, Siye Wang, Zixuan Guan, Wenbo Xu
The usage of unmanned aerial vehicles (UAVs) as aerial base station (BS) or relay are becoming increasingly important in the yield of wireless communications. An UAV-based relay can greatly support the transmission between the mobile ground user (MGU) and the base station. In this paper, we study the optimum altitude of a decode-and-forward (DF) relaying UAV system. In particular, we analyze two different communication scenarios, i.e., BS-UAV-MGU (BUM) and MGU-UAV-MGU (MUM) scenarios, respectively. For the BUM scenario, the optimum altitude of UAV-based relay over Mixed-Rayleigh fading channel is studied. For the MUM scenario, we analyze the performance of a two-hop network over the Double-Rayleigh fading channel with the assistance of a DF relay. Moreover, the average end-to-end bit error rate (BER) and outage probability of the proposed UAV-relay system are analyzed for both BUM and MUM scenarios. Additionally, we provide closed-form expressions of outage probability and BER for BPSK modulation and demonstrate the accuracy of proposed expressions via Monte-Carlo simulations.
无人驾驶飞行器(uav)作为空中基站(BS)或中继的使用在无线通信的产量中变得越来越重要。基于无人机的中继可以极大地支持移动地面用户(MGU)和基站之间的传输。本文研究了一种译码转发(DF)中继无人机系统的最佳高度。我们特别分析了两种不同的通信场景,即BS-UAV-MGU (BUM)和MGU-UAV-MGU (MUM)场景。针对混合瑞利衰落信道,研究了无人机中继的最佳高度。对于MUM场景,我们分析了在DF中继的帮助下在双瑞利衰落信道上的两跳网络的性能。在此基础上,分析了无人机中继系统的端到端平均误码率(BER)和中断概率。此外,我们提供了BPSK调制的中断概率和误码率的封闭形式表达式,并通过蒙特卡罗模拟证明了所提出表达式的准确性。
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引用次数: 0
PAPR Reduction in F-OFDM systems combining SLM and ICF 结合SLM和ICF的F-OFDM系统的PAPR降低
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580323
Zelin Zhu, Mengru Wu, Weijing Qi, Qingyang Song, Lei Guo
Filtered-orthogonal frequency division multiplexing (F -OFDM) is a competitive candidate waveform for the fifth generation (5G) wireless communication systems due to its huge flexibility and high spectrum efficiency. Yet, F-OFDM inevitably brings the problem of high peak-to-average-power ratio (PAPR), not only reducing the efficiency of power amplifiers (PA), but also increasing the possibility of signal distortion. In this paper, to solve the high PAPR problem in F-OFDM systems, we propose a new hybrid PAPR reduction approach combining the traditional selected mapping (SLM) and iterative clipping and filtering (ICF) methods appropriately. First, SLM is used to decrease the probability that high PAPR values occur for separate subband signals. Then, we exploit I CF to perform clipping and filtering operations to reduce PAPR of the composite signal from the three subbands. Finally, we carry out simulations and results show that the proposed approach achieves lower PAPR than individual SLM and ICF methods, while there is almost no increase in bit error rate (BER) and system complexity.
滤波正交频分复用(F -OFDM)由于其巨大的灵活性和高频谱效率,是第五代(5G)无线通信系统的有竞争力的候选波形。然而,F-OFDM不可避免地带来了峰值平均功率比(PAPR)过高的问题,不仅降低了功率放大器(PA)的效率,而且增加了信号失真的可能性。为了解决F-OFDM系统中的高PAPR问题,我们提出了一种将传统的选择映射(SLM)和迭代裁剪滤波(ICF)方法相结合的混合PAPR降低方法。首先,SLM用于降低单独子带信号出现高PAPR值的概率。然后,我们利用I - CF进行裁剪和滤波运算,以降低来自三个子带的复合信号的PAPR。最后,我们进行了仿真,结果表明,该方法比单独的SLM和ICF方法实现了更低的PAPR,而误码率(BER)和系统复杂性几乎没有增加。
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引用次数: 0
Multi-access Edge Computing Offloading Method Oriented to Offshore Scenarios 面向离岸场景的多址边缘计算卸载方法
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580426
Ziyi Wang, Xin Su, Yuanxue Xin
As an important part of the future maritime information intelligent network, the maritime observation monitoring sensor network can provide a variety of observation and monitoring applications. Multi-access edge computing (MAEC) can effectively guarantee a low-delay and high-reliability data transmission for maritime observation monitoring sensor networks and supply various related maritime applications. In this paper, a multi-access edge computing offloading method for offshore scenarios is proposed. A multi-user multi-hop unicast (MMU) offloading model is established for the limited resources of edge computing. Orthogonal frequency division multiple access (OFDMA) technology is used to alleviate the congestion of data unloading. At the same time, the pending tasks have a non-negligible queuing delay on some offloading nodes. In addition, the mixed integer nonlinear optimization problem is separated and the transmission power is effectively allocated by using sub-optimal method. The offloading decision is made by improving the traditional artificial fish swarm algorithm (AFSA). Simulation results show that, the proposed algorithm has a faster convergence speed and can reduce the network delay by nearly 19% comparing with the traditional scheme.
作为未来海事信息智能网络的重要组成部分,海事观测监测传感器网络可以提供多种观测监测应用。多接入边缘计算(MAEC)可以有效地保证海上观测监测传感器网络的低延迟、高可靠性数据传输,并提供各种相关的海事应用。提出了一种适用于海上场景的多址边缘计算卸载方法。针对有限的边缘计算资源,建立了多用户多跳单播(MMU)卸载模型。采用正交频分多址(OFDMA)技术缓解数据卸载的拥塞。同时,待挂任务在某些卸载节点上具有不可忽略的排队延迟。此外,采用次优方法分离了混合整数非线性优化问题,有效地分配了传输功率。对传统的人工鱼群算法(AFSA)进行了改进,确定了卸载决策。仿真结果表明,与传统方案相比,该算法具有更快的收敛速度,可将网络延迟降低近19%。
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引用次数: 2
Joint Compensation of CFO and IQ Imbalance in OFDM Receiver: A Deep Learning Based Approach OFDM接收机CFO与IQ失衡的联合补偿:一种基于深度学习的方法
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580359
Siqi Liu, Tianyu Wang, Shaowei Wang
Due to the technical and cost limitations, wireless systems suffer from various hardware impairments, including phase noise, power amplifier nonlinearity, carrier frequency offset and in-phase and quadrature-phase imbalance. These impairments can highly degrade the physical layer performance and are usually compensated separately by using model-based signal processing techniques. However, due to the high carrier frequency and large bandwidth of 5G new radio, the coupling effects between different impairments are highly aggravated, which greatly degrades the performance of individual compensation modules for different impairments. In this paper, we propose a deep learning-based method, which jointly addresses the hardware impairments directly from the received data. Specifically, we focus on carrier frequency offset and in-phase and quadrature-phase imbalance, and propose a deep neural network with multiple parallel subnets for joint compensation. Numerical results show that the proposed method outperforms the conventional method using separate compensation modules in practical signal-to-noise ratio regions, and the performance improvement further increases when the cyclic prefix length or the pilot length is limited.
由于技术和成本的限制,无线系统受到各种硬件缺陷的影响,包括相位噪声、功率放大器非线性、载波频率偏移以及同相和正交相不平衡。这些损伤会严重降低物理层的性能,通常通过使用基于模型的信号处理技术来单独补偿。然而,由于5G新无线电的高载波频率和大带宽,不同损伤之间的耦合效应高度加剧,这大大降低了单个补偿模块针对不同损伤的性能。在本文中,我们提出了一种基于深度学习的方法,直接从接收到的数据中共同解决硬件损伤。针对载波频偏、同相和正交相不平衡等问题,提出了一种具有多个并行子网的深度神经网络进行联合补偿。数值结果表明,该方法在实际信噪比区域优于单独补偿模块的方法,当循环前缀长度或导频长度有限时,性能得到进一步提高。
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引用次数: 4
Free-Space Optical Communication System Using Non-mode-Selective Photonic Lantern Based Receiver With Different Number of Single-Mode Fiber Cores 基于不同单模光纤芯数的非模式选择光子灯接收机的自由空间光通信系统
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580395
Renzhi Yuan, Zhifeng Wang, M. Peng
The optical receiver based on non-mode-selective photonic lantern (NMS-PL) can be used to improve the communication performance of free-space optical communication (FSOC) systems, because the NMS-PL receiver can take advantages of the high coupling efficiency of multimode fiber (MMF) receivers and the high mixing efficiency of single-mode fiber (SMF) receivers. However, previous studies on the NMS-PL receiver did not consider the impact of the number of SMF cores of the NMS-PL on the bit-error rate (BER) performance under different power distributions of the NMS- PL. In this paper, we study the BER of the NMS-PL receiver using equal-gain combining (EGC) for FSOC systems under a log-normal turbulent fading channel with pointing errors. We derive both a lower bound and an approximated upper bound of the BER of the NMS-PL receiver using EGC. Numerical results show that the BER of NMS-PL receiver attains its minimum value when the number of SMF cores equals the number of guided modes of NMS-PL. Besides, numerical results also show that the power distribution of the NMS-PL has only limited influence on the BER of NMS-PL receiver using EGC when either strong turbulence or large pointing error is considered.
基于非模式选择光子灯(NMS-PL)的光接收机可以利用多模光纤(MMF)接收机的高耦合效率和单模光纤(SMF)接收机的高混频效率,从而提高自由空间光通信(FSOC)系统的通信性能。然而,以往对NMS-PL接收机的研究并未考虑NMS-PL在不同功率分布下SMF核数对误码率(BER)性能的影响。本文采用等增益组合(EGC)方法研究了具有指向误差的对数正态湍流衰落信道下FSOC系统的NMS-PL接收机的误码率(BER)。我们用EGC推导了NMS-PL接收机误码率的下界和近似上界。数值结果表明,当SMF核数与NMS-PL导模数相等时,NMS-PL接收机的误码率达到最小。此外,数值结果还表明,在考虑强湍流或大指向误差的情况下,功率分布对采用EGC的NMS-PL接收机误码率的影响有限。
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引用次数: 0
Predictive Beam Tracking with Cooperative Sensing for Vehicle-to-Infrastructure Communications 基于协同传感的车辆与基础设施通信预测波束跟踪
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580311
Yuanhao Xu, Ying Guo, Cheng Li, Bin Xia, Zhiyong Chen
Beam alignment is a critical issue for millimeter wave (mmWave) communication in high-mobility vehicular scenarios. In order to enhance the beam alignment performance, in this article, we investigate a dual-functional radar-communication system where the intelligent vehicle can actively cooperate with the roadside stations by sharing its sensing results. Based on the state evolution model of the vehicle, an Extended Kalman filter for beam tracking is employed. It is shown that, with the radar reflections as well as the sensing results from the vehicle, the proposed scheme can track the mobility of the vehicle and predict the beam directions more accurately, which can benefit the communication. The cooperative sensing between the vehicle and the roadside stations can be used to predict beam directions with low overhead for vehicles in complex scenarios, such as curves or crossovers. Simulations demonstrate that the proposed scheme achieves better beam tracking performance compared to the conventional pilot-based ones.
波束对准是高移动性车辆毫米波通信的关键问题。为了提高波束对准性能,本文研究了一种双功能雷达-通信系统,通过共享其感知结果,智能车辆可以主动与路边站点合作。在车辆状态演化模型的基础上,采用扩展卡尔曼滤波进行波束跟踪。结果表明,该方案结合车辆的雷达反射和传感结果,能够更准确地跟踪车辆的移动,预测波束方向,有利于通信。车辆与路边站点之间的协同感知可以用于预测车辆在复杂情况下的光束方向,例如弯道或交叉。仿真结果表明,该方案比传统的导频方案具有更好的波束跟踪性能。
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引用次数: 2
Camera Assisted Received Signal Strength Algorithm for Indoor Visible Light Positioning 室内可见光定位的相机辅助接收信号强度算法
Pub Date : 2021-07-28 DOI: 10.1109/iccc52777.2021.9580305
Chengyang Li, Yang Yang, Lin Bai, Bei Yu, Caili Guo, Hailun Xia
In this paper, a camera assisted received signal strength (CA-RSS) algorithm is proposed for visible light positioning (VLP) systems. The basic idea of CA-RSS is to simultaneously utilize visual and strength information of visible lights to achieve accurate positioning at low cost. With rectangular LED layout, the irradiance angles of the visible lights can be estimated regardless of the orientations of the LEDs. Based on the estimated irradiance angles, the distances between the LEDs and the receiver are obtained. Then, the two-dimensional (2D) position of the receiver can be calculated at low cost using a linear least square method. Based on the solid geometry theory, we further propose an independent solution method for three-dimensional (3D) positioning, which can avoid error propagation issue of dependent solution method. Moreover, considering the imperfect channel model in practice, we propose a calibration method of Lambertian model for practical uses. Simulation results show that the proposed approach can achieve 80th percentile accuracies of less than 10 cm for 3D positioning regardless of the orientations of the LEDs and the receiver. In addition, experimental results show that the proposed algorithm achieves an average 3D positioning error of 4.48 cm in a 70 cm × 70 cm × 140 cm space.
本文提出了一种用于可见光定位系统的相机辅助接收信号强度(CA-RSS)算法。CA-RSS的基本思想是同时利用可见光的视觉和强度信息,以低成本实现精确定位。矩形LED布局时,无论LED的方向如何,都可以估计出可见光的辐照角。根据估计的辐照角,得到了led与接收机之间的距离。然后,利用线性最小二乘法可以低成本地计算出接收机的二维位置。在立体几何理论的基础上,进一步提出了三维定位的独立求解方法,避免了依赖求解方法的误差传播问题。此外,针对实际中存在的不完全信道模型,提出了一种实用的朗伯模型标定方法。仿真结果表明,无论led和接收器的方向如何,该方法都可以实现小于10 cm的80百分位精度。此外,实验结果表明,该算法在70 cm × 70 cm × 140 cm空间内的平均三维定位误差为4.48 cm。
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引用次数: 0
期刊
2021 IEEE/CIC International Conference on Communications in China (ICCC)
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