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Machine Learning in 6G: The Future of Wireless communication 6

Machine Learning in 6G: The Future of Wireless Communication

引用

6th international conference on Intelligent computing and control Systems, ICICCS 2022

作者： Sarkar, Sutapa Cmr Institute of Technology Electronics and Communication Dept. Bengaluru560037 India

ISBN: (纸本)9781665410359

The 6th Generation of wireless communication, 6G, is the future of wireless communication technology. 6G has the potential to support various pioneering applications. Post Covid-19 pandemic, the necessity of remote data-connectivity is recognized as a socio-economic requirement. Data-centric communication has been one of the key-features in 5G and the trend is expected to continue in near future. 6G proposes to support various cutting-edge applications, including remote healthcare, holographic transportation, twin body area network, unmanned vehicle, smart infrastructures and augmented and virtual reality. These applications require a superior data-rate and infrastructure beyond the current 5G facilities. Hence, currently, both industry and academia are exploring the possible technology solutions that can support the advanced communication requirements of near future. This research work intends to provide a comprehensive summary of the Key Performance Indicators (KPI) of 6G, possible 6G network architectures, use cases and enabling technologies. Additionally, an extensive summary of the Machine Learning (ML) algorithms implemented in 6G are provided to achieve various technology goals. © 2022 IEEE.

关键词： Network architecture

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Phase Gradient Metasurface RCS Reduction Technique Based on Metal Mesh Microstructure 2

Phase Gradient Metasurface RCS Reduction Technique Based on ...

引用

2nd international conference on Signal Processing and Intelligent computing, SPIC 2024

作者： Wang, Anning Zhang, Hui Qi, Feng Wang, Yelong Liu, Runsheng Shenyang Jianzhu University School of Electrical and Control Engineering Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China The Key Laboratory of Liaoning Province in Terahertz Imaging and Sensing Shenyang China

ISBN: (纸本)9798350368888

Under the requirement of electromagnetic (EM) scattering weakening for the internal components in flight platforms, a phase gradient metasurface based on metal mesh microstructures is proposed to reduce the radar scattering cross-section (RCS) and maintain a high optical transmittance. In order to realize the EM scattering reduction, a mesh model based on the phase gradient principle is established, which not only improves the total light transmittance in the optical band, but also homogenizes the scattering directions of the EM wave. Results demonstrate that the overall optical transmittance is higher than 88.60%. Meanwhile, the RCS reduction caused by the meshed metasurface is more than 10 dB in the frequency band of 15.7~18.1 GHz. Moreover, the maximum reduction value is 15.8 dB. The phase gradient metasurface proposed in this paper has a great application potential in the field of electromagnetic scattering. © 2024 IEEE.

关键词： Mesh generation

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Deep Learning Based Soft Sensors in Process Industry and Application

Deep Learning Based Soft Sensors in Process Industry and App...

引用

international conference on Smart computing & communications (ICSCC)

作者： A M Neethu K K Ajayan Department of Electronics and Communication College of Engineering Trivandrum Trivandrum India

Industries can profit from automation by increasing rate of production and decreasing errors, improving safety and stabilising the manufacturing process. High levels of profitability, dependability and safety come with industrial automation. Machine learning(ML) has a place in the field of industrial automation because it makes it easier to monitor and maintain industrial machines. The pursuit of automating industrial procedures in all currently possible ways is intimately related to rational industrial development. Recent advancements in industrial automation have reduced the cost of hardware and energy use. Soft sensors provide numerous advantages including adaptability and affordability. Due to their accuracy and durability, deep learning(DL) algorithms are well known for the construction of soft sensors in difficult non-linear *** application of soft sensor for industrial automation is presented in this paper i.e, design of a soft sensor based on Deep Neural Network(DNN) for metabolic growth control of bioprocess in industry.

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Survey on Security Risks in 5G Private Industrial Networks 4

Survey on Security Risks in 5G Private Industrial Networks

引用

4th international conference on Circuits, control, communication and computing, I4C 2022

作者： Pavan, G.V. Meeradevi Sangeetha, V. Ramaiah Institute of Technology Dept. of CSE Bangalore India

ISBN: (纸本)9798350397475

To realize the 'Internet of Everything', the 5G network is used for communication among people and also between people and things. 5G networks are constantly growing which has become one of the key areas of infrastructure and various industries have designed and developed 5G technologies to use in their innovative applications and significantly expanding innovative opportunities. However, like every technology has a few loopholes to carry on research to overcome, even this new technology 5G network, has a few drawbacks to overcome in which one of which is a security risk, due to its new services, and new architecture. So, it is important to strengthen the architecture of 5G concerning security and address the security issues that arise as a result of communication technology shortcomings. Also, security attacks have increased in past few years by making detection and prevention is a global challenge. This paper will be focusing on the relevant application scenario of the 5G network to carry out the analysis of the security risk and its counterparts by enabling technologies used to build the 5G security model. © 2022 IEEE.

关键词： 5G mobile communication systems

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Power Optimization and ARSs Selection in Uplink Cell-Free Multi-ARSs communication Systems 12

Power Optimization and ARSs Selection in Uplink Cell-Free Mu...

引用

12th IEEE international conference on control, automation and Information Sciences, ICCAIS 2023

作者： Duc, Bui Anh Sun, Guanghao Anh, Phan Huy Tran, Xuan Nam Le Quy Don Technical University Advanced Wireless Communications Group Hanoi Viet Nam The University of Electro-Communications Department of Mechanical and Intelligent Systems Engineering Tokyo Japan Electronic Institute Academy of Military Science and Technology Hanoi Viet Nam

ISBN: (纸本)9798350328783

Cell-Free (CF) is one of the techniques that play a crucial role in the evolution of current 5th Generation (5G) technology to satisfy the needs of emerging communication applications. In this paper, we analyze the uplink CF system utilizing multiple aerial relay stations (ARSs), where ARSs are defined as unmanned aerial vehicles functioning as relay stations. ARSs are designed with multiple antennas that concurrently serve a specific number of terrestrial users in a given area. In terms of signal processing, the system uses the time division duplex (TDD) protocol for communication and the minimum mean squared error (MMSE) method for channel estimation. We determine the uplink user throughput expression by applying the matched filtering (MF) technique and optimize pilot/data transmission power to enhance system quality using the successive convex approximation (SCA) method and the linear problem (LP), respectively. Additionally, we propose an ARS selection strategy based on the large-scale fading factor to reduce system load, computational complexity, and energy consumption for ARSs. The results indicate that addressing the power optimization problem improves user throughput. Furthermore, the findings also reveal that when a certain number of ARSs are selected, the ARS selection method outperforms the CF (no selection) technique in terms of the user throughput. Accordingly, we discover the best number of ARSs for the proposed system. © 2023 IEEE.

关键词： Antennas

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Integration of Programmable Logic controller with Lab VIEW for Acquiring Data, Monitoring and controlling

Integration of Programmable Logic Controller with Lab VIEW f...

引用

international conference on computing Methodologies and communication (ICCMC)

作者： Kotipalli Sidhardha V Naga Prudhvi Raj Jasti Mahesh Krishna Kuchibotla Sai Vamsi Dumppala Sree Hari Department of EIE V R Siddhartha Engineering College Vijayawada India

This document enables communication between the Siemens PLC (Programmable Logic control) TIA portal and Lab VIEW. TIA Portal and Lab VIEW may talk to one another via OPC Server. OPC is a business standard that provides genuine plug-and-play software for factory automation and process control. It was created with the aid of NI OPC SERVERS. Combining software and hardware from several vendors is made simple via OPC. By incorporating cutting-edge analysis and control functionality into any PLC using the new NI OPC servers with NI Lab VIEW software and DSC (Data Logging and Supervisory control) module and its use in real-time control, the problem of automation in industrial applications throughout the manufacturing enterprise can be resolved. The facility must be automated using traditional SCADA software, which must be acquired and set up. This study needs to use Lab VIEW in order to build a low-cost SCADA platform because SCADA software is so expensive. The development of SCADA by utilizing the Lab VIEW DSC module to monitor and control the process by creating connection between PLC and NI-Lab VIEW is the main focus of this study. Once the SCADA solution has been created, it may be provided to the client by using the license-free Lab VIEWruntime environment.

关键词： Multithreading Process control Supervisory control Programming Software Real-time systems Servers

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Research on End-to-End Bearer Scheme for Precise control of Transmission Network Based on 5G communication Technology 3

Research on End-to-End Bearer Scheme for Precise Control of ...

引用

3rd international conference on Computer Vision, Image and Deep Learning and international conference on Computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Liu, Yuming Sun, Yanzhi Fu, Cheng Wen, Quan Yunnan Power Dispatching and Control Center Yunnan Kunming650011 China

ISBN: (纸本)9781665459112

The Internet of power system communication system is an important part of smart grid, spanning the processes of power production, transmission and distribution, power consumption, and daily operation and maintenance. At present, domestic power grids have accumulated end-to-end bearing solutions based on microwave communication, current-carrying along the electric field line and other communication methods. Based on the background of 5G communication technology, this paper analyzes the intelligent slicing method of the URLLC (ultra reliable low latency communication) service of the power Internet of Things, and uses mobile edge computing (MEC) to establish the system, energy consumption and transmission model of the power communication network. It provides ideas for realizing end-to-end precise control of 5G power grid. © 2022 IEEE.

关键词： Electric power transmission networks

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Enhancing Autonomous Vehicles control: Distributed Microservices with V2X Integration and Perception Modules 2

Enhancing Autonomous Vehicles Control: Distributed Microserv...

引用

2nd IEEE international conference on Mobility, Operations, Services and Technologies, MOST 2024

作者： Ramos, Joaquim Figueiredo, Andreia Almeida, Pedro Aston, Tiago Campos, Andre Perna, Goncalo Mendes, Marcos Rito, Pedro Sargento, Susana Instituto de Telecomunicações Aveiro3810-193 Portugal Universidade de Aveiro Departamento de Eletrónica Telecomunicações e Informática Aveiro3810-193 Portugal CEiiA - Centro de Engenharia e Desenvolvimento de Produto Matosinhos4450-017 Portugal

ISBN: (纸本)9798350307733

This paper proposes an architecture and a real deployment for the shared perception between a vehicle and the infrastructure in autonomous mobility, employing microservices on the infrastructure and vehicle platforms to integrate data from multiple sensors and distributed computing units. Using V2X communication, the system autonomously controls vehicles in critical emergency scenarios, such as a vehicle over the presence of Vulnerable Road Users (VRUs), aided by a road side node. The integration with the Autoware platform extends control to the vehicle's units and powertrain. With edge computing, rapid object detection via computer vision, and V2X message exchange, the proposed system ensures real-time integration with the vehicle's autonomous control. The results of the autonomous vehicle in the presence of a VRU demonstrate the capability to deliver the alert to the vehicle within a valid time and the successful reaction by the vehicle. To the best of the authors' knowledge, this marks the first integration of the control of an autonomous vehicle platform over alerts produced by internal/external sensors in a real scenario using real-time data, and through V2X communications. © 2024 IEEE.

关键词： Autonomous vehicles

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Real-time voltage control of centralized and distributed coordination in active distribution network under multiple coupling 3

Real-time voltage control of centralized and distributed coo...

引用

2024 3rd international conference on the Energy Internet and Energy Interactive Technology, EIEIT 2024

作者： Dou, Wenlei Tong, Yongji Song, Zhuoran Zhang, Mingli Lu, Sichen Zhu, Hongbo State Grid Electric Power Co. Ltd Liaoning China

At present, the "source-load interaction" distribution network operation mode has gradually replaced the "source-load operation" mode. The uncertainty and volatility of the distribution system have been enhanced, the controllability has been weakened, the voltage fluctuations have been frequent, and the power quality has been decreased. Voltage regulation is crucial to fully absorbing new energy generation and improving the operation safety of the active distribution network. To solve the problem of real-time control of distribution networks, this paper proposes a distributed voltage control method of active distribution networks with global sensitivity, establishes a distributed communication mechanism, and builds a distributed forward push-back communication rule to transfer power and voltage information between nodes. The global sensitivity of voltage, active power, and reactive power is used for real-time, independent, and effective control of multiple devices at each node, and the distributed control process is simulated according to actual production conditions. Furthermore, the centralized and decentralized real-time voltage control methods are proposed, and the centralized and distributed methods are implemented in medium voltage primary distribution network (MVPN) and low voltage secondary distribution network (LVSN), respectively, to play the advantages of high computing efficiency and fast control response. Based on model predictive control (MPC), intra-day rolling time scale voltage regulation is constructed, and second-level control is used to adapt the MPC results, finally promoting the optimal scheduling and rapid response of various controllable flexible resources in the multi-level active distribution network. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Power distribution networks

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Fatigue Load Prediction of Large Wind Turbine by Big Data and Deep Learning

Fatigue Load Prediction of Large Wind Turbine by Big Data an...

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2023 IEEE international conference on Electrical, automation and Computer Engineering, ICEACE 2023

作者： Wu, Jiayue Yang, Qinmin Jin, Nanlin Xxi'An Jiaotong-Liverpool University Low Carbon Electrical Power and Energy Technology Suzhou China College of Control Science and Engineering Zhejiang University Hangzhou China Xi'An Jiaotong-Liverpool University Department of Computing Suzhou China

ISBN: (纸本)9798350309614

This paper introduces a fatigue load prediction framework for the nacelle of wind turbines utilizing operational data sourced from the supervisory control and data acquisition (SCADA) system of a Wind Farm. The primary objective revolves around achieving precise fatigue load predictions for the nacelle, forecasting 15 minutes in advance. Firstly, a series of data preprocessing steps were implemented on the wind turbine data procured from the SCADA system to enhance the model's generalization capability and robustness, including 3-Sigma outlier detection, sample point selection, as well as filtering and de-noising techniques. Then, the gate recurrent unit (GRU) was tuned and trained as the optimal model for long time-series forecasting of SCADA parameter channels. Subsequently, the support vector regression (SVR) model, refined with grid search methodology, was employed to establish the intricate relationship between SCADA parameters and fatigue loads. Finally, the predicted SCADA parameter values were fed into the optimized SVR model to derive fatigue load prediction results for wind turbines. Experimental results indicated that the proposed model framework can effectively predict fatigue loads on the nacelle of wind turbines utilizing the SCADA data in real scenarios. © 2023 IEEE.

关键词： GRU SCADA system.fatigue loads SVR wind turbine

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