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2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)最新文献

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Transmission Performance of OFDM-based 1024-QAM under Different Types of Multipath Fading Channels 基于ofdm的1024-QAM在不同多径衰落信道下的传输性能
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548774
Daisuke Kosuge, H. Otsuka
Fifth-generation (5G) new radio (NR) supports multiple subcarrier spacings of orthogonal frequency division multiplexing (OFDM) signals. 5G NR also supports 1024-quadrature amplitude modulation (QAM) for 5G allowing to achieve higher peak data rates and improve spectral efficiency. In this paper, we present the transmission performance of OFDM-based 1024-QAM for multiple subcarrier spacings under different types of multipath fading channels, i.e., Rayleigh fading channel in frequency range 1 (FR1), Rayleigh fading channel in FR2, and Rician fading in FR2. Using link-level computer simulations, we clarify the BER performance of OFDM-based 1024-QAM as parameters of coding rates for the subcarrier spacings of 15 and 240 kHz under three types of multipath fading channels based on tapped delay line models.
第五代(5G)新无线电(NR)支持正交频分复用(OFDM)信号的多个子载波间隔。5G NR还支持5G的1024正交调幅(QAM),从而实现更高的峰值数据速率并提高频谱效率。本文研究了基于ofdm的1024-QAM在不同类型的多径衰落信道下的传输性能,即频率范围1的瑞利衰落信道(FR1)、FR2的瑞利衰落信道和FR2的瑞利衰落信道。通过链路级计算机仿真,我们明确了基于ofdm的1024-QAM在三种类型的多径衰落信道下,以15和240 kHz的子载波间隔作为编码率参数时的误码率性能。
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引用次数: 1
Game-Theoretic Cloud-Edge Resource Allocation for Video Analytics in the Factory of the Future 面向未来工厂视频分析的博弈论云边缘资源分配
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548756
Yi-Yun Li, Ta-Sheng Lin, Hung-Yu Wei
Factory of the Future (FoF) is a vision for how manufacturers should enhance management and production. In such a factory, real-time video analytic tasks are critical and can be provided by modern cameras and the server system behind them. With the 5G wireless technology and the developing deep learning models, the cloud-edge computing architecture can be applied to meet the application requirements of low latency and high accuracy. In this paper, we propose an efficient, near-optimal, and truthful mechanism to deal with the incentive-compatible resource allocation problem of video analytic service in FoF. To provide latency- and accuracy- aware service instantly, we relax the optimality and propose an efficient allocation algorithm that also helps truthful pricing in the mechanism design. With the theoretical analysis and the numerical simulations, we show the mechanism guarantees desired properties- computational efficiency, individual rationality, truthfulness, and weakly budget-balance.
未来工厂(FoF)是制造商应该如何加强管理和生产的愿景。在这样的工厂中,实时视频分析任务是至关重要的,可以由现代摄像机及其背后的服务器系统提供。随着5G无线技术和深度学习模型的发展,云边缘计算架构可以满足低延迟、高精度的应用需求。本文提出了一种高效、接近最优、真实的机制来解决视频分析服务中激励相容的资源分配问题。为了提供即时的延迟和准确性感知服务,我们放松了最优性,提出了一种高效的分配算法,并在机制设计中帮助真实定价。通过理论分析和数值模拟,证明了该机制保证了计算效率、个体合理性、真实性和弱预算平衡等特性。
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引用次数: 3
Accurate and Stable Wi-Fi based Indoor Localization and Classification Using Convolutional Neural Network 基于Wi-Fi的室内精确稳定的卷积神经网络定位与分类
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548752
Aisha Javed, N. Hassan, C. Yuen
Indoor localization is essential for providing location based services inside homes, malls, and hospitals. Wi-Fi routers are available in almost every building and Wi-Fi chipsets are also available in almost every smartphone. Therefore, fingerprinting of Received Signal Strength Indicator (RSSI) values coming from Wi-Fi routers is a cheaper option for indoor localization. In conventional Wi-Fi fingerprinting methods, RSSI values are collected at various indoor locations and stored in a database. The device which needs localization, collects new RSSI values from its current unknown location. These values are compared with the database and the best match is returned as the current user location. Due to differences in Wi-Fi chipsets and environmental conditions, RSSI values fluctuate which makes accurate, stable, fast, and precise determination of user location difficult. If the user is inside a large multi-floor building, dataset scalability and RSSI fluctuations can make the task even more difficult. User tracking and determination of the direction in which the user is moving also becomes challenging due to hurdles and non-walkable points in the indoor environment. To solve these issues, in this paper we present a Wi-Fi fingerprinting method for large indoor environments that uses 1-D convolutional neural networks (CNN) for floor and region-status (hurdle, walkable point) classification. The procedure consists of collecting RSSI dataset which is then normalized and pre-processed. This step is essential for training the classification and localization model. The trained model can be used in real-time for fast, stable, and accurate classification of floors, region-status and user location coordinates. Based on our experiments inside a two floor university library, the proposed approach can classify the floors and region-status with an accuracy of 70.50% and 81.23% respectively, while the mean localization error is 3.47 m.
室内定位对于在家庭、商场和医院内提供基于位置的服务至关重要。几乎每栋建筑都有Wi-Fi路由器,几乎每部智能手机都有Wi-Fi芯片组。因此,对来自Wi-Fi路由器的接收信号强度指标(RSSI)值进行指纹识别是室内定位的一种更便宜的选择。在传统的Wi-Fi指纹识别方法中,RSSI值是在不同的室内位置收集并存储在数据库中。需要定位的设备从当前未知位置收集新的RSSI值。将这些值与数据库进行比较,并将最佳匹配作为当前用户位置返回。由于Wi-Fi芯片组和环境条件的差异,RSSI值存在波动,难以准确、稳定、快速、精确地确定用户位置。如果用户在大型多层建筑中,数据集可伸缩性和RSSI波动会使任务变得更加困难。由于室内环境中的障碍和不可行走点,用户跟踪和确定用户移动的方向也变得具有挑战性。为了解决这些问题,在本文中,我们提出了一种用于大型室内环境的Wi-Fi指纹识别方法,该方法使用一维卷积神经网络(CNN)进行地板和区域状态(障碍,可行走点)分类。该过程包括收集RSSI数据集,然后进行规范化和预处理。这一步对于训练分类和定位模型至关重要。训练后的模型可以实时、快速、稳定、准确地对楼层、区域状态和用户位置坐标进行分类。在某两层高校图书馆内进行的实验表明,该方法对楼层和区域状态的分类准确率分别为70.50%和81.23%,平均定位误差为3.47 m。
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引用次数: 2
NICT's R&D Activities on the Future Terrestrial Wireless Communication Systems toward B5G/6G by Harmonizing Requirements with Environments NICT在面向B5G/6G的未来地面无线通信系统的研发活动:协调需求与环境
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548748
F. Kojima, T. Matsumura
NICT is promoting research and development activities on enhanced radio access technologies, expanded radio systems deployment technologies also coping with drones, and advanced wireless emulation technologies that enable effective radio system design and management via virtual evaluation in the cyber space, thereby provides highly diversified terrestrial wireless communication services. Most important key for such enriched wireless communication systems in the future is cyber-physical cooperation technology that has been established accompanied with B5G systems development. It is confirmed that highly diversified requirements for the wireless communications will be harmonized and provide an advanced radio resource utilization society in the future.
NICT正在推动增强型无线电接入技术的研究和开发活动,扩展无线电系统部署技术也可以应对无人机,以及先进的无线仿真技术,通过网络空间的虚拟评估实现有效的无线电系统设计和管理,从而提供高度多样化的地面无线通信服务。未来这种丰富的无线通信系统最重要的关键是伴随B5G系统发展而建立的网络物理协作技术。未来对无线通信的高度多样化的需求将得到协调,并提供一个先进的无线电资源利用社会。
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引用次数: 1
BLER of Turbo SIC Multiplying Weighting Factor to Symbol Estimates for OFDM Using FTN Signaling 基于FTN信令的OFDM的Turbo SIC乘权系数估计算法
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548723
Toshiharu Obara, Tsubasa Shobudani, M. Sawahashi, Y. Kishiyama
This paper proposes multiplying a weighting factor of less than one to the interfering orthogonal frequency division multiplexing (OFDM) symbol esti-mates in a turbo soft interference canceller (SIC) for OFDM applying faster-than-Nyquist (FTN) signaling. Computer simulation results show that by multiplying the weighting factor of 0.8 or 0.9 to the interfering OFDM symbol estimates, the required average received signal-to-noise ratio (SNR) satisfying the target aver-age block error rate (BLER) is decreased significantly assuming the same improvement level in the spectral efficiency of the FTN signaling compared to cyclic pre x based OFDM using 16QAM associated with the turbo coding rates of 1/3 and 1/2 in multipath Rayleigh fading channels.
本文提出了一种采用比奈奎斯特(FTN)信令更快的OFDM的turbo软干扰消除器(SIC)中,对干扰OFDM(正交频分复用)符号估计值乘以小于1的加权因子。计算机仿真结果表明,在多径瑞利衰落信道中,采用turbo码率分别为1/3和1/2的16QAM与基于循环预处理的OFDM相比,在满足目标平均分组误码率(BLER)的前提下,在相同的频谱效率水平下,通过对干扰OFDM符号估计值乘以0.8或0.9的加权因子,可以显著降低FTN信令所需的平均接收信噪比(SNR)。
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引用次数: 1
Radio-over-Fiber Systems with 1-bit Digital Modulation for 5G/6G Indoor Wireless Communication 5G/6G室内无线通信的1位数字调制光纤无线电系统
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548764
S. Hori, Yuma Kase, Naoki Oshima, K. Kunihiro
This paper introduces the radio-over-fiber systems with the two novel 1-bit digital modulators: a phase-modulated-clocking envelope ΔΣ modulator and an all-digital outphasing modulator. By these modulators, radio-over-fiber systems are realized with commercially available optical devices for digital communication systems in low cost. The simulation results show that these modulators are verified to comply with the 3GPP ACLR specifications for 100 MHz OFDM signal.
本文介绍了采用两种新型1位数字调制器的光纤无线电系统:调相时钟包络ΔΣ调制器和全数字共相调制器。通过这些调制器,可以用市售的光学器件实现低成本的光纤无线电通信系统。仿真结果表明,这些调制器在100mhz OFDM信号下符合3GPP ACLR规范。
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引用次数: 3
Round Trip Time for Control Channel Multiplexing Using In-Band Full Duplex with Synchronous Orthogonal Sequence Assignment 带内全双工与同步正交序列分配控制信道复用的往返时间
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548727
M. Sawahashi, Fumiya Makishi, Y. Kishiyama
This paper proposes a Layer 1 (L1) control channel (CC) multiplexing scheme using in-band full duplex (FD) with synchronous orthogonal sequence assignment in the downlink and uplink to shorten the round trip time (RTT) due to hybrid automatic repeat request (HARQ). We describe the proposed L1 CC multiplexing scheme employing in-band FD associated with a cyclic-shifted Zadoff-Chu sequence and block spreading for synchronous orthogonal sequence assignments. We show the supported coverage area where the L1 CC multiplexing using in-band FD is available for various subcarrier spacings (SCSs). Finally, we show that the proposed L1 CC multiplexing scheme using in-band FD reduces the RTT due to HARQ compared to that for half duplex (HD) time division duplex (TDD) based CC multiplexing for various SCSs and slot assignments of data channels in HD TDD.
本文提出了一种基于带内全双工(FD)和上行链路同步正交序列分配的第一层(L1)控制信道(CC)复用方案,以缩短混合自动重复请求(HARQ)带来的往返时间(RTT)。我们描述了提出的L1 CC复用方案,采用带内FD与周期移位的Zadoff-Chu序列和块扩展相关联的同步正交序列分配。我们展示了支持的覆盖区域,其中使用带内FD的L1 CC多路复用可用于各种子载波间隔(scs)。最后,我们证明了与基于半双工(HD)时分双工(TDD)的CC多路复用相比,使用带内FD的L1 CC多路复用方案减少了由于HARQ引起的RTT,用于各种scs和HD TDD中数据通道的槽位分配。
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引用次数: 0
Design and Experimental Validation of Digital Pre-distortion Techniques for mmWave OTA with Multiple Nonlinear Power Amplifiers 多非线性功率放大器毫米波OTA数字预失真技术的设计与实验验证
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548750
Juinn-Horng Deng, Chuan-Yi Liu, Cun-Jhe Liu, Meng-Lin Ku
The millimeter-wave (mmWave) frequency band is used in the 5th generation wireless systems, in which the high frequency unavoidably causes rapid attenuation. Therefore, multiple millimeter-wave power amplifiers (PAs) are utilized to achieve power amplification and to extend transmission range. However, the nonlinear effect is induced after the increased input power. To compensate the nonlinear effect of PAs, the transmitted signal can be pre-compensated by the digital pre-distortion (DPD) technology. In this paper, we verify the application performance of mmWave over-the-air (OTA) nonlinear PAs with DPD compensation. The research and simulation results confirm that the nonlinear problem and signal distortion caused by the power amplifier can be reduced by the indirect-learning based DPD technology, thereby improving the spectrum efficiency.
毫米波(mmWave)频段用于第五代无线系统,其高频不可避免地会导致快速衰减。因此,使用多个毫米波功率放大器(pa)来实现功率放大和扩展传输范围。但是,当输入功率增大时,会产生非线性效应。为了补偿放大器的非线性效应,可以采用数字预失真(DPD)技术对传输信号进行预补偿。在本文中,我们验证了具有DPD补偿的毫米波无线(OTA)非线性PAs的应用性能。研究和仿真结果表明,基于间接学习的DPD技术可以降低功率放大器引起的非线性问题和信号失真,从而提高频谱效率。
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引用次数: 0
High power efficiency millimeter-wave network with communication quality prediction technology 基于通信质量预测技术的高效率毫米波网络
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548771
H. Asano, H. Noguchi, Noriyuki Shimizu, Tsutomu Asanuma, M. Yasugi, Takeo Ueta, Kosuke Ohno, Ryota Honda
Since mobile traffic is increasing explosively, effective utilization of millimeter waves that can increase capacity is expected, but low power efficiency and blocking problem are issues. The authors are proposing a wireless communication quality prediction technology that uses millimeterwave radar for avoiding blocking problem and a network that combines a 60GHz WLAN with a mobile network in order to realize a network that is highly power efficient and can be operated stably.
随着移动通信量的爆炸式增长,人们期待毫米波的有效利用能够增加容量,但存在着低功率效率和阻塞问题。作者提出了一种利用毫米波雷达避免阻塞问题的无线通信质量预测技术,以及一种将60GHz无线局域网与移动网络相结合的网络,以实现高能效和稳定运行的网络。
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引用次数: 3
Throughput Performance of HetNets using Sectorized Picocells with 3D Beamforming at 28 GHz Band in Multipath Fading Channels 多径衰落信道下28ghz带3D波束形成的分割皮单元HetNets的吞吐量性能
Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548769
Shoko Nishimura, S. Suyama, T. Asai, H. Otsuka
Fifth-generation (5G) New Radio (NR) with non-standalone (NSA) operation, i.e., 5G NR NSA, which enables 5G NR deployments using existing the fourth-generation (4G) mobile systems have been introduced to diffuse 5G mobile systems. With the same configuration as a heterogeneous network (HetNet), 5G NR NSA deployments combine with macrocells by 4G and picocells by 5G in the same coverage. The use of millimeter wave bands in 5G NR is expected to achieve higher data rates because the available amount of signal bandwidth is enormous. Therefore, multiband HetNets with picocells operating at millimeter wave band can increase the system capacity and/or achieve higher data rate. To compensate for the large signal path-loss due to the use of millimeter wave band, we have proposed sectorized picocells with three-dimensional beamforming (3D-BF) in HetNets. In this paper, we investigate the transmission performance of multiband HetNets with sectorized picocells with 3D-BF operating at 28 GHz band in multipath fading channels based on tapped delay line models. Using system-level computer simulations, we clarify the average and 5-percentile user throughput of the HetNet using three-sector picocells with 3D-BF operating at 28 GHz band, whose bandwidth is 10 times wider than that of the macrocell operating at 2 GHz. We also clarify that the proposed method can increase the use rate of high-order modulation scheme in the downlink modulation and coding schemes.
具有非独立(NSA)操作的第五代(5G)新无线电(NR),即5G NR NSA,可以使用现有的第四代(4G)移动系统进行5G NR部署,已被引入到漫射5G移动系统中。在与异构网络(HetNet)相同的配置下,5G NR NSA部署与4G的macrocell和5G的piccell相结合,在相同的覆盖范围内。在5G NR中使用毫米波频段有望实现更高的数据速率,因为可用的信号带宽量非常大。因此,在毫米波频段使用皮蜂窝的多频带HetNets可以增加系统容量和/或实现更高的数据速率。为了补偿由于使用毫米波频段而导致的大信号路径损耗,我们在HetNets中提出了具有三维波束形成(3D-BF)的扇形皮细胞。本文基于分接延迟线模型,研究了28ghz多径衰落信道下带有3D-BF的扇形皮蜂窝多频带HetNets的传输性能。使用系统级计算机模拟,我们使用具有3D-BF的三扇区皮蜂窝在28ghz频段工作,其带宽比在2ghz频段工作的宏蜂窝宽10倍,阐明了HetNet的平均和5%用户吞吐量。该方法可以提高高阶调制方案在下行调制和编码方案中的使用率。
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引用次数: 0
期刊
2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)
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