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Machine Learning in 6G Wireless Communications 6G无线通信中的机器学习
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022cei0002
T. Ohtsuki
SUMMARY Mobile communication systems are not only the core of the Information and Communication Technology (ICT) infrastructure but also that of our social infrastructure. The 5th generation mobile communication system (5G) has already started and is in use. 5G is expected for various use cases in industry and society. Thus, many companies and research institutes are now trying to improve the performance of 5G, that is, 5G Enhancement and the next generation of mobile communication systems (Beyond 5G (6G)). 6G is expected to meet various highly demanding requirements even compared with 5G, such as extremely high data rate, extremely large coverage, extremely low latency, extremely low energy, extremely high reliability, extreme massive connectivity, and so on. Arti(cid:12)cial intelligence (AI) and machine learning (ML), AI/ML, will have more important roles than ever in 6G wireless communications with the above extreme high requirements for a diversity of applications, including new combinations of the requirements for new use cases. We can say that AI/ML will be essential for 6G wireless communications. This paper introduces some ML techniques and appli- cations in 6G wireless communications, mainly focusing on the physical layer.
移动通信系统不仅是信息通信技术(ICT)基础设施的核心,也是我们社会基础设施的核心。第5代移动通信系统(5G)已经启动并投入使用。5G有望用于工业和社会的各种用例。因此,现在许多公司和研究机构都在努力提高5G的性能,即5G增强和下一代移动通信系统(超越5G (6G))。与5G相比,6G有望满足各种高要求,如极高的数据速率、极大的覆盖范围、极低的延迟、极低的能耗、极高的可靠性、极海量的连接等。人工智能(AI)和机器学习(ML) (AI /ML)将在6G无线通信中发挥比以往任何时候都更重要的作用,因为上述对各种应用的极高要求,包括对新用例的新要求组合。我们可以说,AI/ML对6G无线通信至关重要。本文介绍了机器学习技术及其在6G无线通信中的应用,重点介绍了机器学习技术的物理层。
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引用次数: 6
Closed-Form Expression of Radiation Characteristics for Electrically Small Spherical Helix Antennas 电小球形螺旋天线辐射特性的封闭表达式
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3094
Keisuke Fujita, K. Noguchi
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引用次数: 0
Signal Detection for OTFS System Based on Improved Particle Swarm Optimization 基于改进粒子群算法的OTFS系统信号检测
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3140
Jurong Bai, Lin Lan, Zhaoyang Song, Huimin Du
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引用次数: 1
Bandwidth Abundant Optical Networking Enabled by Spatially-jointed and Multi-band Flexible Waveband Routing 空间连接和多波段柔性波段路由实现带宽丰富的光网络
4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023pni0002
Hiroshi Hasegawa
The novel optical path routing architecture named flexible waveband routing networks is reviewed in this paper. The nodes adopt a two-stage path routing scheme where wavelength selective switches (WSSs) bundle optical paths and form a small number of path groups and then optical switches without wavelength selectivity route these groups to desired outputs. Substantial hardware scale reduction can be achieved as the scheme enables us to use small scale WSSs, and even more, share a WSS by multiple input cores/fibers through the use of spatially-joint-switching. Furthermore, path groups distributed over multiple bands can be switched by these optical switches and thus the adaptation to multi-band transmission is straightforward. Network-wide numerical simulations and transmission experiments that assume multi-band transmission demonstrate the validity of flexible waveband routing.
本文综述了一种新的光路路由结构——柔性波段路由网络。节点采用两阶段路径路由方案,波长选择交换机(wss)将光路分组并形成少量路径组,然后无波长选择的光交换机将这些组路由到所需的输出。由于该方案使我们能够使用小规模的WSS,甚至可以通过使用空间联合交换通过多个输入核心/光纤共享WSS,因此可以实现大幅的硬件规模缩减。此外,分布在多个频带上的路径组可以通过这些光开关进行切换,因此可以直接适应多频带传输。全网范围的数值模拟和多频带传输实验验证了柔性波段路由的有效性。
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引用次数: 0
Device-to-Device Communications Employing Fog Nodes Using Parallel and Serial Interference Cancelers 采用雾节点的设备对设备通信,使用并行和串行干扰消除器
4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023ebt0006
Binu SHRESTHA, Yuyuan CHANG, Kazuhiko FUKAWA
Device-to-device (D2D) communication allows user terminals to directly communicate with each other without the need for any base stations (BSs). Since the D2D communication underlaying a cellular system shares frequency channels with BSs, co-channel interference may occur. Successive interference cancellation (SIC), which is also called the serial interference canceler, detects and subtracts user signals from received signals in descending order of received power, can cope with the above interference and has already been applied to fog nodes that manage communications among machine-to-machine (M2M) devices besides direct communications with BSs. When differences among received power levels of user signals are negligible, however, SIC cannot work well and thus causes degradation in bit error rate (BER) performance. To solve such a problem, this paper proposes to apply parallel interference cancellation (PIC), which can simultaneously detect both desired and interfering signals under the maximum likelihood criterion and can maintain good BER performance even when power level differences among users are small. When channel coding is employed, however, SIC can be superior to PIC in terms of BER under some channel conditions. Considering the superiority, this paper also proposes to select the proper cancellation scheme and modulation and coding scheme (MCS) that can maximize the throughput of D2D under a constraint of BER, in which the canceler selection is referred to as adaptive interference cancellation. Computer simulations show that PIC outperforms SIC under almost all channel conditions and thus the adaptive selection from PIC and SIC can achieve a marginal gain over PIC, while PIC can achieve 10% higher average system throughput than that of SIC. As for transmission delay time, it is demonstrated that the adaptive selection and PIC can shorten the delay time more than any other schemes, although the fog node causes the delay time of 1 ms at least.
设备到设备通信(Device-to-device, D2D)允许用户终端之间直接通信,而不需要任何基站。由于蜂窝系统底层的D2D通信与BSs共享频率信道,因此可能发生同信道干扰。连续干扰消除(SIC),也称为串行干扰消除器,从接收信号中按接收功率降序检测并减去用户信号,可以应对上述干扰,除了与BSs直接通信外,已经应用于管理机器对机器(M2M)设备之间通信的雾节点。然而,当接收到的用户信号之间的功率水平差异可以忽略不计时,SIC不能很好地工作,从而导致误码率(BER)性能下降。为了解决这一问题,本文提出采用并行干扰抵消(PIC),在最大似然准则下可以同时检测期望信号和干扰信号,并且即使用户之间的功率电平差很小也能保持良好的误码率性能。然而,当采用信道编码时,在某些信道条件下,SIC在误码率方面优于PIC。考虑到这种优势,本文还提出在一定的误码率约束下,选择适当的对消方案和调制编码方案(MCS),使D2D的吞吐量最大化,其中对消方案的选择称为自适应干扰对消。计算机仿真表明,PIC在几乎所有信道条件下都优于SIC,因此自适应选择PIC和SIC可以获得比PIC更高的边际增益,而PIC可以比SIC提高10%的平均系统吞吐量。对于传输延迟时间,尽管雾节点至少造成1 ms的延迟时间,但自适应选择和PIC比其他任何方案都更能缩短延迟时间。
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引用次数: 0
Flow Processing Optimization with Accelerated Flow Actions on High Speed Programmable Data Plane 高速可编程数据平面上加速流动作的流处理优化
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3069
Zhiyuan Ling, Xiao Chen, Lei Song
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引用次数: 0
A Hybrid Routing Algorithm for V2V Communication in VANETs Based on Blocked Q-Learning 基于阻塞q -学习的VANETs V2V通信混合路由算法
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2021ebp3210
Xiang Bi, Huang Huang, Benhong Zhang, Xing Wei
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引用次数: 1
Handover Experiment of 60-GHz-Band Wireless LAN in over 200-km/h High-Speed Mobility Environment 60ghz波段无线局域网在200 km/h以上高速移动环境下的切换实验
IF 0.7 4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3078
T. Iwakuni, D. Uchida, Takuto Arai, Shuki Wai, N. Kita
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引用次数: 0
D2EcoSys: Decentralized Digital Twin EcoSystem Empower Co-Creation City-level Digital Twins D2EcoSys:去中心化数字孪生生态系统助力共创城市级数字孪生
4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023wwi0001
Kenji Kanai, Hidehiro Kanemitsu, Taku Yamazaki, Shintaro Mori, Aram Mine, Sumiko Miyata, Hironobu Imamura, Hidenori Nakazato
A city-level digital twin is a critical enabling technology to construct a smart city that helps improve citizens' living conditions and quality of life. Currently, research and development regarding the digital replica city are pursued worldwide. However, many research projects only focus on creating the 3D city model. A mechanism to involve key players, such as data providers, service providers, and application developers, is essential for constructing the digital replica city and producing various city applications. Based on this motivation, the authors of this paper are pursuing a research project, namely Decentralized Digital Twin EcoSystem (D2EcoSys), to create an ecosystem to advance (and self-grow) the digital replica city regarding time and space directions, city services, and values. This paper introduces an overview of the D2EcoSys project: vision, problem statement, and approach. In addition, the paper discusses the recent research results regarding networking technologies and demonstrates an early testbed built in the Kashiwa-no-ha smart city.
城市级数字孪生是建设智慧城市的关键使能技术,有助于改善市民的生活条件和生活质量。目前,世界范围内都在进行数字复制城市的研究和开发。然而,许多研究项目只专注于创建3D城市模型。一种涉及关键参与者(如数据提供者、服务提供者和应用程序开发人员)的机制对于构建数字复制城市和生产各种城市应用程序至关重要。基于这一动机,本文的作者正在进行一个研究项目,即去中心化数字孪生生态系统(D2EcoSys),以创建一个生态系统,在时间和空间方向、城市服务和价值方面推进(和自我成长)数字复制城市。本文介绍了D2EcoSys项目的概述:愿景、问题陈述和方法。此外,本文还讨论了网络技术的最新研究成果,并展示了在Kashiwa-no-ha智慧城市建立的早期测试平台。
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引用次数: 0
Quality and Transferred Data based Video Bitrate Control Method for Web-Conferencing 基于质量和传输数据的网络会议视频比特率控制方法
4区 计算机科学 Q3 Engineering Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023ebp3079
Masahiro YOKOTA, Kazuhisa YAMAGISHI
In this paper, the quality and transferred data based video bitrate control method for web-conferencing services is proposed, aiming to reduce transferred data by suppressing excessive quality. In web-conferencing services, the video bitrate is generally controlled in accordance with the network conditions (e.g., jitter and packet loss rate) to improve users' quality. However, in such a control, the bitrate is excessively high when the network conditions is sufficiently high (e.g., high throughput and low jitter) , which causes an increased transferred data volume. The increased volume of data transferred leads to increased operational costs, such as network costs for service providers. To solve this problem, we developed a method to control the video bitrate of each user to achieve the required quality determined by the service provider. This method is implemented in an actual web-conferencing system and evaluated under various conditions. It was shown that the bitrate could be controlled in accordance with the required quality to reduce the transferred data volume.
本文提出了一种基于质量和传输数据的视频比特率控制方法,旨在通过抑制过高的质量来减少传输数据。在web会议业务中,为了提高用户的通话质量,一般根据网络情况(如抖动、丢包率等)来控制视频比特率。然而,在这种控制中,当网络条件足够高(例如,高吞吐量和低抖动)时,比特率过高,导致传输的数据量增加。数据传输量的增加导致运营成本的增加,例如服务提供商的网络成本。为了解决这个问题,我们开发了一种方法来控制每个用户的视频比特率,以达到服务提供商确定的所需质量。该方法在实际的网络会议系统中实现,并在各种条件下进行了评估。结果表明,可以根据要求的质量控制比特率,以减少传输的数据量。
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IEICE Transactions on Communications
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