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2022 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献

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Reconfigurable Intelligent Surface Design for Symbiotic Radio System Through BER Minimization 基于误码率最小化的共生无线电系统可重构智能表面设计
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814479
Xiangyu Ding, Qianqian Zhang, Ying-Chang Liang, Yiyang Pei
This paper considers a reconfigurable intelligent surface (RIS) assisted single-input multiple-output (SIMO) sym-biotic radio (SR) system in which an RIS serves as a secondary transmitter (STx) to communicate with a cooperative receiver (C-Rx). The received signals from both primary transmitter (PTx) and the RIS are jointly decoded at the C-Rx using maximum likelihood (ML) detection. In this paper, we are interested in the RIS design to minimize the bit error rate (BER) of the SR system. Considering the coupling effect between the primary and secondary transmissions, we formulate the primary BER minimization problem with the passive energy constraint of each reflecting element at RIS, which can also enhance the secondary BER performance. To solve the formulated problem, a two-step algorithm is proposed based on the semidefinite programming (SDP) and one-dimensional search approaches. Simulation results show that the proposed algorithm outperforms the random beamforming scheme and that the BER performance of both the primary and secondary transmissions are improved when the number of reflective elements in the RIS is sufficiently large. Moreover, even under the random scheme, the BER performance of the secondary transmission is enhanced with growing number of elements at RIS.
本文考虑了一种可重构智能表面(RIS)辅助单输入多输出(SIMO)共生无线电(SR)系统,其中RIS作为辅助发送器(STx)与协作接收器(C-Rx)通信。从主发射机(PTx)和RIS接收的信号在C-Rx使用最大似然(ML)检测联合解码。在本文中,我们感兴趣的RIS设计,以尽量减少误码率(BER)的SR系统。考虑到主、次传输之间的耦合效应,提出了RIS下各反射单元无源能量约束下的主传输误码率最小化问题,提高了二次传输误码率性能。为了解决上述问题,提出了一种基于半定规划和一维搜索的两步算法。仿真结果表明,该算法优于随机波束形成方案,当RIS中反射单元数量足够大时,主、次传输的误码率性能均有提高。此外,即使在随机方案下,二次传输的误码率性能也随着RIS节点个数的增加而提高。
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引用次数: 1
Implementation and Evaluation of sub- THz OAM Multiplexing Transmission 次太赫兹OAM复用传输的实现与评价
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814588
Hirofumi Sasaki, Yasunori Yagi, T. Kageyama, Doohwan Lee
This paper presents orbital angular momentum (OAM) multiplexing transmission with Butler matrices implemented on a sub-terahertz (sub- THz) band for the first ever to our best knowledge. Sub- THz bands enable us to utilize a wide frequency bandwidth for high-capacity wireless transmission. However, the baud rate becomes extremely high as the bandwidth widens, so digital spatial equalization becomes a significant hurdle for implementation. We therefore consider it practical to move part of the function over to analog devices. A Butler matrix is an analog device that can perform discrete Fourier transform (DFT) calculations, and a combination of the Butler matrix and uniform circular array (UCA) can be used to perform the generation and separation of OAM waves. In this paper, we present 4×4 Butler matrices for the generation and separation of four OAM waves (OAM modes 0, ±1, 2) and demonstrate a physical layer data rate of more than 100 Gbit/s for OAM multiplexing transmission over a 10-GHz bandwidth on a sub-THz band.
本文介绍了在亚太赫兹(sub- THz)波段首次实现的巴特勒矩阵轨道角动量(OAM)复用传输。次太赫兹波段使我们能够利用宽频率带宽进行高容量无线传输。然而,随着带宽的增加,波特率变得非常高,因此数字空间均衡成为实现的一个重大障碍。因此,我们认为将部分功能转移到模拟设备上是可行的。巴特勒矩阵是一种可以进行离散傅立叶变换(DFT)计算的模拟器件,巴特勒矩阵和均匀圆形阵列(UCA)的组合可以用来进行OAM波的产生和分离。在本文中,我们提出了4×4 Butler矩阵,用于产生和分离四种OAM波(OAM模式0,±1,2),并演示了在亚太赫兹频段上10 ghz带宽上OAM复用传输的物理层数据速率超过100 Gbit/s。
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引用次数: 3
A Novel Wireless Interference Identification and Scheduling Method based on Convolutional Neural Network 一种基于卷积神经网络的无线干扰识别与调度方法
Pub Date : 2022-05-16 DOI: 10.1109/ICCWorkshops53468.2022.9882172
Guiqing Liu, Zhicheng Xi, Ruiqi Liu
Wireless interference identification plays a key role in improving the performance of mobile communication systems in terms of empowering smarter scheduling. This paper proposes to apply the convolutional neural network (CNN) to identification of wireless interference, by constructing a novel multi-level identifier which works on three different time granularities and combines the results. Exploiting the powerful feature extraction ability of CNN, the proposed approach can identify and locate 7 types of interference with high accuracy, and an adaptive threshold is calculated based on the identification result for smart scheduling. Simulation results verify that the proposed multi-level method can improve the accuracy of interference identification significantly, and achieve smart scheduling as well as increase the throughput of the network.
无线干扰识别在提高移动通信系统性能、实现智能调度方面发挥着关键作用。本文提出将卷积神经网络(CNN)应用到无线干扰的识别中,通过构建一种新的多层识别器,在三种不同的时间粒度下工作,并结合结果。该方法利用CNN强大的特征提取能力,能够对7种干扰进行高精度识别和定位,并根据识别结果计算自适应阈值,实现智能调度。仿真结果表明,该方法能显著提高干扰识别的精度,实现智能调度,提高网络吞吐量。
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引用次数: 4
Blockchain and Deep Learning for Cyber Threat-Hunting in Software-Defined Industrial IoT 软件定义工业物联网中网络威胁搜索的区块链和深度学习
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814706
Randhir Kumar, Prabhat Kumar, Abhinav Kumar, A. Franklin, A. Jolfaei
The softwarized infrastructure of Software-Defined Industrial Internet of Things (SDIIoT) offers a cost-effective solution to improve flexibility and reliability in network management but faces several critical challenges. First, th Majority of SDIIoT entities operate over wireless channel, which expose them to a variety of attacks (e.g., man-in-the-middle, replay, and impersonation attacks) and also the centralized nature of SDN controller is prone to single point attacks. Second, network traffic in the SDIIoT is associated with large scale, high dimension and redundant data, all of which present significant hurdles in the development of efficient flow analyzer. In this regard, we present a novel blockchain and Deep Learning (DL) integrated framework for protecting confidential information and hunting cyber threats against SDIIoT and their network traffic. First the blockchain module is proposed to securely transmit industrial data from IIoT sensors to controllers of SDN via forwarding nodes (i.e., OpenFLow switches) using Clique Proof-of-Authority (C-PoA) consensus mechanism. A novel flow analyzer based on DL architecture named LSTMSCAE-AGRU is designed by combining Long Short-Term Memory Stacked Contractive AutoEncoder (LSTMSCAE) with Attention-based Gated Recurrent Unit (AGRU) at the control plane. The latter first extracts low-dimensional features in an unsupervised manner, which is then fed to AGRU for hunting anomalous switch requests. The proposed framework can withstand a variety of well-known cyber threats and mitigate the single point of controller failure problem in SDIIoT.
软件定义工业物联网(SDIIoT)的软件基础设施为提高网络管理的灵活性和可靠性提供了一种经济有效的解决方案,但也面临着一些关键挑战。首先,大多数SDIIoT实体在无线通道上运行,这使它们暴露于各种攻击(例如,中间人,重播和模拟攻击),而且SDN控制器的集中化性质容易受到单点攻击。其次,SDIIoT中的网络流量具有大规模、高维和冗余数据的特点,这些都是开发高效流量分析仪的重要障碍。在这方面,我们提出了一种新的区块链和深度学习(DL)集成框架,用于保护机密信息和寻找针对SDIIoT及其网络流量的网络威胁。首先,提出了区块链模块,通过使用Clique Proof-of-Authority (C-PoA)共识机制,通过转发节点(即OpenFLow交换机)将工业数据从IIoT传感器安全地传输到SDN控制器。将长短期记忆堆叠收缩自动编码器(LSTMSCAE)与基于注意力的门控循环单元(agu)在控制平面相结合,设计了一种基于DL架构的流量分析仪LSTMSCAE-AGRU。后者首先以无监督的方式提取低维特征,然后将其馈送到agu以查找异常开关请求。所提出的框架可以抵御各种众所周知的网络威胁,并减轻SDIIoT中的单点控制器故障问题。
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引用次数: 2
5G New Radio and Non-Terrestrial Networks: Reaching New Heights 5G新无线电和非地面网络:达到新的高度
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814595
Qiaoyang Ye, C. Lo, Jeon-Hoon Jeon, Chance Tarver, M. Tonnemacher, Jeongho Yeo, Joonyoung Cho, Gary Xu, Younsun Kim, Jianzhong Zhang
As the need for limitless connectivity surges, non-terrestrial networks (NTN) will play a central role in fifth generation (5G) and beyond communications. The 3rd Gener-ation Partnership Project (3GPP) defines NTN as networks, or segments of networks, using an airborne or space-borne vehicle as a relay node or base station. An NTN-enhanced cellular network supplements a conventional terrestrial cellular network. This article provides an overview of NTN-enhanced cellular networks with a particular focus on satellite-mobile direct communications. First, we review satellite system classifications such as Geostation-ary Orbit (GEO), Medium Earth Orbit (MEO), and Low Earth Orbit (LEO), spectrum usage, and key challenges of satellite communications. We then summarize recent 3GPP activities in NTN. In addition, we describe our recent proof-of-concept system involving a satellite channel emulator and modification of the 5G New Radio (NR) protocol stack to handle the challenge of long round-trip time - demonstrating the feasibility of NTN and the adoption of NTN-enhanced cellular networks in 5G and beyond communications. Finally, we highlight the main open issues and future research challenges of NTN-enhanced cellular networks.
随着对无限连接需求的激增,非地面网络(NTN)将在第五代(5G)及以后的通信中发挥核心作用。第三代合作伙伴计划(3GPP)将NTN定义为使用机载或星载飞行器作为中继节点或基站的网络或网络段。ntn增强型蜂窝网络是对传统地面蜂窝网络的补充。本文概述了ntn增强型蜂窝网络,特别侧重于卫星移动直接通信。首先,我们回顾了卫星系统的分类,如地球静止轨道(GEO)、中地球轨道(MEO)和低地球轨道(LEO)、频谱使用和卫星通信的主要挑战。然后,我们总结了NTN最近的3GPP活动。此外,我们描述了我们最近的概念验证系统,该系统涉及卫星信道模拟器和5G新无线电(NR)协议栈的修改,以应对长往返时间的挑战-展示了NTN的可行性以及在5G及以后通信中采用NTN增强蜂窝网络的可行性。最后,我们强调了ntn增强型蜂窝网络的主要开放问题和未来的研究挑战。
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引用次数: 2
Workshop Co-Chair 车间联合主席
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814481
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引用次数: 0
Development and Analysis of Distributed Algorithm for Hybrid Multiple Access Based User Association 基于混合多址的分布式用户关联算法的开发与分析
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814618
Wook Lee, S. Choi, Yong Hun Jang, Sang Hyun Lee
This paper develops a distributed algorithm for user association of a rate-splitting multiple access (RSMA) network in the millimeter wave (mmWave) directional beamforming environment. In the RSMA network, hybrid multiple access (HMA) is employed based on beamforming techniques with mmWave transmission so that non-orthogonal and orthogonal multiple access users are allowed to coexist, but all users are not necessarily accessible to each other. Thus, a basic NOMA pairing principle of grouping the largest rate-gap users may not be the best strategy for the user-resource allocation, and the identification of the optimal pairing gives rise to a significant computation complexity. To handle this, a novel distributed solution is developed based on the message-passing framework among locally accessible users for the objective of maximizing the global network sum-throughput utility. To provide the optimality and the convergence of the developed algorithm, a theoretical analysis is conducted along with numerical results evidencing the superiority over existing schemes.
本文提出了一种毫米波(mmWave)定向波束形成环境下速率分裂多址(RSMA)网络用户关联的分布式算法。在RSMA网络中,采用基于毫米波传输的波束形成技术的混合多址(HMA),允许非正交多址用户和正交多址用户共存,但并不一定所有用户都可以相互访问。因此,将最大率差用户分组的基本NOMA配对原则可能不是用户资源分配的最佳策略,并且最优配对的识别会产生显着的计算复杂性。为了解决这一问题,基于本地可访问用户之间的消息传递框架,开发了一种新的分布式解决方案,以最大化全局网络和吞吐量效用。为了证明所提算法的最优性和收敛性,对所提算法进行了理论分析和数值计算,证明了所提算法优于现有算法。
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引用次数: 0
A Semi-Deterministic MIMO-based Beam Channel Model of Ray-Tracing and Propagation-Graph for mmWave Communications 一种基于半确定性mimo的毫米波通信射线追踪和传播图波束通道模型
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814701
Jiachi Zhang, Liu Liu, Z. Tan, Kai Wang
Millimeter-wave (mmWave) communication together with beamforming technology is envisioned as key technologies to offer greater bandwidths than previously available. In this paper, we propose a novel semi-deterministic multiple-input multiple-output (MIMO)-based beam channel model for mm Wave communications. First, the transceiver's MIMO-based beams filter out scatterers located outside the beam intersection and the cluster-nuclei is generated. On this basis, the ray tracing (RT) together with propagation-graph (PG) methods are utilized to emulate the reflection and scattering components of the channel transfer function (CTF) for each cluster-nuclei, respectively. Meanwhile, scattering is considered at the last bounce of each reflection path in the macro-cell downlink scenario regarding the asymmetrical obstacles distributions. Besides, the directive scattering model is used to enhance the modeling accuracy for PG. We emulate a macro-cell street scenario and provide related characterization results. Simulation results reveal that our proposal can capture the channel non-stationarities at a low computational cost while guaranteeing relatively high accuracy.
毫米波(mmWave)通信与波束成形技术一起被设想为提供比以前可用的更大带宽的关键技术。在本文中,我们提出了一种新的半确定性多输入多输出(MIMO)波束信道模型用于毫米波通信。首先,收发器基于mimo的波束滤除波束交点外的散射体,生成簇核。在此基础上,利用射线追踪(RT)和传播图(PG)方法分别模拟了每个簇核的通道传递函数(CTF)的反射和散射分量。同时,在障碍物分布不对称的情况下,考虑了宏单元下行场景中每个反射路径最后一次反弹时的散射。此外,利用定向散射模型提高了PG的建模精度。我们模拟了一个宏细胞街道场景,并提供了相关的表征结果。仿真结果表明,该方法能够以较低的计算成本捕获信道非平稳性,同时保证较高的精度。
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引用次数: 2
Data-Driven Digital Twins in Surgery utilizing Augmented Reality and Machine Learning 利用增强现实和机器学习的手术数据驱动数字双胞胎
Pub Date : 2022-05-16 DOI: 10.1109/iccworkshops53468.2022.9814537
Paul Riedel, Michael Riesner, Karsten Wendt, U. Assmann
On the one hand, laparoscopic surgery as medical state-of-the-art method is minimal invasive, and thus less stressful for patients. On the other hand, laparoscopy implies higher demands on physicians, such as mental load or preparation time, hence appropriate technical support is essential for quality and suc-cess. Medical Digital Twins provide an integrated and virtual representation of patients' and organs' data, and thus a generic concept to make complex information accessible by surgeons. In this way, minimal invasive surgery could be improved significantly, but requires also a much more complex software system to achieve the various resulting requirements. The biggest challenges for these systems are the safe and precise mapping of the digital twin to reality, i.e. dealing with deformations, movement and distortions, as well as balance out the competing requirement for intuitive and immersive user access and security. The case study ARAILIS is presented as a proof in concept for such a system and provides a starting point for further research. Based on the insights delivered by this prototype, a vision for future Medical Digital Twins in surgery is derived and discussed.
一方面,腹腔镜手术作为最先进的医学方法,具有微创性,因此对患者的压力较小。另一方面,腹腔镜手术对医生的精神负荷或准备时间等要求较高,因此适当的技术支持对手术的质量和成功至关重要。医学数字双胞胎提供了患者和器官数据的集成和虚拟表示,因此是一个通用概念,使外科医生可以访问复杂的信息。通过这种方式,微创手术可以得到显著改善,但也需要一个更复杂的软件系统来实现各种结果要求。这些系统面临的最大挑战是将数字孪生体安全和精确地映射到现实,即处理变形、运动和扭曲,以及平衡直观和沉浸式用户访问和安全性的竞争需求。案例研究ARAILIS是作为这种系统的概念证明,并为进一步的研究提供了一个起点。基于该原型提供的见解,推导并讨论了未来外科医学数字双胞胎的愿景。
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引用次数: 5
Joint Rate and Energy Coverage of User-Centric SWIPT-Enabled Millimeter Wave Networks 以用户为中心的swift毫米波网络的联合速率和能量覆盖
Pub Date : 2022-05-16 DOI: 10.1109/ICCWorkshops53468.2022.9882171
Khaled M. Humadi, I. Trigui, Wei-Ping Zhu, W. Ajib
In this paper, we consider a user-centric simultaneous wireless information and power transfer (SWIPT) mmWave system, where a time switching protocol is employed at users to support both energy harvesting and information decoding. To enable user-centric BS cooperation, dynamic BS clustering is used to adapt the user’s serving cluster to the channel condition. For this setup, we characterize the joint rate and energy (JRE) coverage, namely, the probability that the user can both harvest sufficient energy in a given time slot and receive the required minimum data from a given serving cluster. The analysis is challenging because of the random serving clusters as well as the correlation between the amount of harvested energy and the information rate. All analytical results are validated by Monte-Carlo simulations. Our results reveal that the proposed analytical models are accurate and efficient in the design and deployment of user-centric-SWIPT mmWave systems.
在本文中,我们考虑了一个以用户为中心的同步无线信息和功率传输(SWIPT)毫米波系统,其中在用户处采用时间交换协议来支持能量收集和信息解码。为了实现以用户为中心的BS协作,采用动态BS集群技术,使用户的服务集群适应信道条件。对于这种设置,我们描述了联合速率和能量(JRE)覆盖范围,即用户在给定时隙中既可以获得足够的能量,又可以从给定服务集群接收所需的最小数据的概率。分析具有挑战性,因为服务集群是随机的,并且收获的能量量与信息速率之间存在相关性。所有的分析结果都通过蒙特卡罗模拟得到了验证。我们的研究结果表明,所提出的分析模型在以用户为中心的swipt毫米波系统的设计和部署中是准确和有效的。
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引用次数: 0
期刊
2022 IEEE International Conference on Communications Workshops (ICC Workshops)
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