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Neural network Approach to Channel estimation in Wireless Communication

Neural Network Approach to Channel estimation in Wireless Co...

引用

ieee International conference on Electronics, Computing and Communication Technologies (CONECCT)

作者： Narendranath Durga Tangudu Swaraj Kumar Satya Kumar Vankayala Seungil Yoon Standards Research Group Samsung R&D Institute Bengaluru India Network Call and OAM Team Call S/W Group Samsung R&D Institute Bengaluru India OAM S/W R&D Group Samsung Electronics Suwon South Korea

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939

To meet the high throughput and stringent Quality of Service (QoS) requirements of the fifth and the sixth generation (5G and 6G) users, operators have explored technologies such as Multi-Input Multi-Output (MIMO), massive MIMO (mMIMO), Base Station (BS) densification, Non-Orthogonal Multiplex Access (NOMA) etc. The Central Unit (CU) and Distributed Unit (DU) split architectures defined in open Radio Access network (ORAN) and 3rd Generation Partnership Project (3GPP), gives the possibilities to explore the software-based methods, which were restricted earlier due to hardware-centric systems. With software defined Radio Access network (RAN) at cloud and artificial intelligence being a promising domain for solving various problems, these two can be leveraged in exploring to solve or optimize various existing challenges like channel estimation in the wireless receivers, which is very computationally expensive. In this work, we attempted to improve the performance of the compute intensive module channel estimation using machine learning architecture. Convolutional Neural network (CNN) based image processing architectures, Super Resolution CNN (SRCNN) and Denoising CNN (DnCNN) were implemented for channel estimation module, along with various combinations of spatial data arrangements of the input signal. The spatial data arrangement of complex and real components of input signal outperformed and yielded better accuracy compared to traditional methods such as estimated Minimum Mean Square Error (MMSE) and Approximate Linear Minimum Mean Square Error (ALMMSE).

关键词： Wireless communication Accuracy Superresolution Channel estimation Computer architecture Machine learning Quality of service

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Analysis of open Set Deep Neural network Variants towards Classification of Known and Unknown Signals

Analysis of Open Set Deep Neural Network Variants towards Cl...

引用

Consumer Communications and networking conference, CCNC ieee

作者： Srihari K. Kompella Sastry Kompella Montgomery Blair High School SPARLab Inc.

In environments crowded with electromagnetic activity, cognitive radios (CR) must have the ability to differentiate between different signals, so as to understand their origins if needed, and decide whether they are friendly or unfriendly signals. This is extremely important in the case of military and intelligence applications, but is beginning to become important in the commercial world as well, given the recent discussion around 5G and ORAN. In this paper, we develop and compare three open and three closed-set signal classification models based on various Machine Learning (ML) architectures. Results show that open-set networks are able to perform very close to their closed-set counterparts while also being able to classify unknown signals that they have not been trained on.

关键词： Deep learning 5G mobile communication Neural networks Pattern classification Cognitive radio Electromagnetics

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Neural network Architecture Editor with Code Generation

Neural Network Architecture Editor with Code Generation

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2020 ieee International conference on Problems of Infocommunications Science and Technology, PIC S and T 2020

作者： Bekuzarov, Maksym Shirokopetleva, Mariya Samantsov, Oleksandr Mazurova, Oksana Kharkov National University of Radio Electronics Department of Software Engineering Kharkov Ukraine

ISBN: (纸本)9781728191775

This paper discusses the particular properties of modern architectures of neural networks, that lead to complication in their design and implementation. A neural network is a machine learning algorithm, that can be represented as a fixed computational graph with learnable weights on its edges. Modern neural networks have 2 main distinct features - their computation graphs are non-linear and they often consist of repeated blocks. Representing these structures in a programming language is difficult and prone to errors, so a solution to simplify this process was proposed - to develop a graphical editor, which would allow to create, edit, share and generate code for a given Deep Learning framework. An interactive visual representation of the network's architecture as a 2-D graph should greatly simplify the process of designing a neural network. A description of the developed software, its features and internal implementation is given, a comparison with alternative solutions is provided as well. © 2020 ieee.

关键词： network architecture

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The Deployment of Microservice at Edge based on MQTT for Low Latency

The Deployment of Microservice at Edge based on MQTT for Low...

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ieee International conference on Industrial Informatics (INDIN)

作者： Mengqi Han Bo Yang Yuxiang Liu Sicheng Liu Qi Liu Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

With the rapid development of smart manufacturing, existing microservice deployment strategies based on the TCP protocol tend to encounter problems such as network latency, excessive header length, and port exhaustion in high concurrency scenarios. MQTT Broker can relay data between microservices, effectively alleviating these issues. However, the communication overhead of the Broker is significantly related to its deployment and the dependency of microservices. An appropriate deployment solution can significantly improve service quality. To address this issue, this paper models the deployment of MQTT Broker and microservices as a graph with cycles. By introducing auxiliary variables, the NP-hard problem is transformed into a mixed-integer quadratic programming problem, improving problem-solving efficiency and optimizing the microservices deployment strategy to reduce communication overhead. Meanwhile, a real-world heterogeneous cluster was constructed to experiment on fault detection applications, elaborating on the superiority of the microservice deployment strategy designed in this paper. Experimental results demonstrate that our approach reduces communication overhead by 20% in comparison to both the greedy strategy and the K8s strategy. This suggests that achieving an optimal balance between the number of Brokers and microservices is vital for ensuring efficient resource utilization and maintaining low communication latency, particularly as the scale of services expands.

关键词： Protocols Fault detection Microservice architectures Transforms programming Quadratic programming Resource management Problem-solving Relays Smart manufacturing

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Inter-actions parallel execution on GPU from high-level dataflow synthesis 55

Inter-actions parallel execution on GPU from high-level data...

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55th Asilomar conference on Signals, Systems and Computers, ACSSC 2021

作者： Bloch, Aurelien Casale-Brunet, Simone Mattavelli, Marco École Polytechnique Fédérale de Lausanne EPFL SCI-STI-MM Lausanne Switzerland

ISBN: (纸本)9781665458283

Recent GPU architectures make available numbers of parallel processing units that exceed by orders of magnitude the ones offered by CPU architectures. Whereas programs written using dataflow programming languages are well suited for programming heterogeneous systems, they might not offer sufficient parallel degrees to efficiently exploit the resources available on today's GPUs. This paper describes how the extension of a dataflow-based approach for the synthesis of programs to be executed on mixed CPU and GPU architectures can increase the parallelism of executions on GPU. The extended approach consists of a new methodology for scheduling, in parallel, the execution of actors' actions that uses the hardware resources available on modern GPU more efficiently. This is possible without imposing any limitation on the dataflow model of computation (MoC) of the network, all fully dynamic MoCs are supported. The paper also introduces relevant features of recent NVidia GPUs used by this approach and describes how they are used to allow dynamic reconfiguration of the execution which dynamically reconfigure the level of parallelism of actual actor execution. The paper also justifies and explains the necessity for a specially designed FIFO buffer that both preserve the dataflow computational model, and enables full parallel data accesses. © 2021 ieee.

关键词： Dynamic programming

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Are You Really Charging Me? 42

Are You Really Charging Me?

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42nd ieee International conference on Distributed Computing Systems (ICDCS)

作者： Lin, Chi Yang, Ziwei Ren, Jiankang Wang, Lei Zhong, Wei Wu, Guowei Zhang, Qiang Dalian Univ Technol Sch Software Technol Dalian Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China Key Lab Ubiquitous Network & Serv Software Liaoni Dalian Peoples R China Dalian Univ Technol Sch Comp Sci & Technol Dalian Peoples R China Dalian Univ Technol DUT RU Int Sch Informat Sci & Engn Dalian Peoples R China

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

Wireless rechargeable sensor networks (WRSNs), which benefit from recent breakthroughs in Wireless Power Transfer (WPT) technology, emerge as very promising for network lifetime extension. Traditional methods concentrate on system performance improvement while little attention has been paid to security, making them vulnerable to novel attacks. In this paper, we develop a novel Charging Spoofing Attack (CSA), in which a mobile charger (MC) is charging a node intuitively. Nevertheless, it is launching an attack based on the nonlinear superposition principle of electromagnetic waves, causing the target node to be unable to receive any energy and finally exhausted in vain. First, we explain and model the nonlinear superposition effect through experiments, which points out the potential of launching such a novel attack. Second, we formalize the attacking problem as a charging uTility optimization problem with key noDe timE window constraints (TIDE). Then, we propose an approximation algorithm termed CSA to solve the TIDE problem with a bounded performance guarantee. Theoretical analyses are presented to exploit the feature of CSA. Finally, to demonstrate the outperformed features of our scheme, extensive simulations and test-bed experiments are conducted, revealing that CSA can exhaust at least 80% of key nodes without being detected.

关键词： Wireless communication Wireless sensor networks System performance Wireless power transfer programming Approximation algorithms Time factors

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Efficient Resource Management for Secure and Low-Latency O-RAN Communication

Efficient Resource Management for Secure and Low-Latency O-R...

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ieee conference on Wireless Communications and networking

作者： Zaineh Abughazzah Emna Baccour Ahmed Refaey Amr Mohamed Mounir Hamdi College of Engineering Qatar University Doha Qatar College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha Qatar School of Engineering University of Guelph Guelph Ontario Canada

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

open Radio Access networks (O-RAN) are transforming telecommunications by shifting from centralized to distributed architectures, promoting flexibility, interoperability, and innovation through open interfaces and multi-vendor environments. However, O-RAN's reliance on cloud-based architecture and enhanced observability introduces significant security and resource management challenges. Efficient resource management is crucial for secure and reliable communication in O-RAN, within the resource-constrained environment and heterogeneity of requirements, where multiple User Equipment (UE) and O-RAN Radio Units (O-RUs) coexist. This paper develops a framework to manage these aspects, ensuring each O-RU is associated with UEs based on their communication channel qualities and computational resources, and selecting appropriate encryption algorithms to safeguard data confidentiality, integrity, and authentication. A Multi-objective Optimization Problem (MOP) is formulated to minimize latency and maximize security within resource constraints. Different approaches are proposed to relax the complexity of the problem and achieve near-optimal performance, facilitating tradeoffs between latency, security, and solution complexity. Simulation results demonstrate that the proposed approaches are close enough to the optimal solution, proving that our approach is both effective and efficient.

关键词： Simulation open RAN Computer architecture Encryption Complexity theory Telecommunications Resource management Security Telecommunication network reliability Optimization

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Research on Simulation System of Intelligent network Technology in Energy Management of New Energy Vehicles

Research on Simulation System of Intelligent Network Technol...

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Electronic Technology, Communication and Information (ICETCI), ieee International conference on

作者： Kaixuan Zhang Lihua Fan Automotive Data of China Co. Ltd Tianjin China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

This paper develops IC&NEV simulation software based on UML object-oriented programming, Builder design pattern, MATLAB, PostgreSQL and SuMO. By using Python program, the road network document data is preprocessed and the road network GIS database is established. Builder provides the Director with an abstract interface for building a product that allows the Director to hide the appearance and structure of a particular product. The simulation program developed in this paper can provide help for the research of optimal control of integrated circuits and dynamic systems of new energy vehicles. Using abstract syntactic expression, the information transfer between TCP/IP interfaces is realized. The iec61499 compliant controller acts as a data server, while the separate GridlAB-D object acts as a client. In addition, based on the open and closed design ideas of UML, this system not only has the function of secondary development, but also is very suitable for the research of multi-vehicle coordination control. The road network model is generated by using openStreetMap editor and JOSM. Compared with manual modeling, this method is faster and more consistent with the actual road network.

关键词： Roads Object oriented modeling Unified modeling language Optimal control TCPIP Syntactics Software

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PathSec: Path-Aware Secure Routing with Native Path Verification and Auditability

PathSec: Path-Aware Secure Routing with Native Path Verifica...

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ieee conference on network Function Virtualization and Software Defined networks (NFV-SDN)

作者： Magnos Martinello Roberta Lima Gomes Everson S. Borges Henrique Coutinho Layber Vitor B. Bonella Cristina K. Dominicini Rafael Guimarães Moisés Ribeiro Marinho Barcellos Department of Informatics Federal University of Espírito Santo Brazil Department of Informatics Federal Institute of Espírito Santo Brazil Department of Informatics University of Waikato New Zealand

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

Selecting and verifying network paths for packet flows are fundamental for creating secure and efficient network architectures. These processes are essential for detecting and addressing anomalies, misconfigurations, or malicious activities, yet they remain challenging to implement effectively, even within a single administrative domain. To support a secure routing framework, it is necessary to: (i) select specific paths for packet flows, enabling "path awareness"; (ii) verify that packets follow the specified routes, ensuring adherence to the routing promise; and (iii) maintain tamper-proof audit records of path verification data. This paper introduces a novel path-aware secure routing approach based on Residue Number System (RNS) primitives, which enables both native path verification and auditability. Our method employs a lightweight multi-signature scheme built on simplified hash chain signatures, leveraging RNS-based native routing mechanisms. These signatures, which provide proofs of packet forwarding, are verified and recorded on a blockchain to ensure data integrity and prevent unauthorised tampering. A P4-based prototype demonstrates that our solution represents a viable hardware implementation for modern programmable switches.

关键词： Multiprotocol label switching Prototypes programming Routing Regulation Hardware Blockchains network function virtualization Security Software defined networking

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SOP Planning of Power Distribution System Based on Source-load Cluster Division

SOP Planning of Power Distribution System Based on Source-lo...

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Power Science and Technology (ICPST), ieee International conference on

作者： Tao Li Xinghang Weng Baojun Xu Changhao He Rui Qin Yanhe Yin Yihan Sun Shaohan Lu Zhongshan Power Supply Bureau Guangdong Power Grid Co. Ltd Zhongshan China Power Grid Planning Center Guangdong Power Grid Co. Ltd. Guangzhou China The School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

A robust planning model based on source-load cluster division is proposed to address the limitations of the current soft open point (SOP) in replacing only the alternative positions of the tie switches and the dimension disaster caused by arbitrary access node planning. This model is used to optimize the selection of soft switch access positions and capacities in the distribution network. Firstly, a comprehensive cluster division method for multi-objective distribution network is proposed, considering modularity, intra-cluster net power fluctuation, and net power peak fluctuation. Secondly, based on the cluster division, a robust planning model for soft switch distribution is established, with the objective of minimizing the annual comprehensive cost of the distribution network. Thirdly, the second-order cone programming model is transformed into a mixed-integer linear programming model using techniques such as equivalent substitution, polyhedral linearization, and Big-M method. The column and constraint generation algorithm (C&CG) is used to solve the proposed model. Finally, a case study of the distribution system of Taiwan Power Company (TPC) is used to validate the effectiveness of the proposed model, ensuring the economic feasibility of the distribution network planning and construction scheme. According to the calculations, the proposed method can reduce the O&M costs of the distribution system by 23.6% compared to the scenario without planning. Meanwhile, compared to the traditional planning method, the proposed method can reduce the cost of distribution system planning by 5.23%.

关键词： Costs Fluctuations Uncertainty Soft switching Power distribution Distribution networks programming

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