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Standardization Steps for FAS in 6G Networks 17

Standardization Steps for FAS in 6G Networks

引用

17th international conference on signal processing and Communication systems, ICSPCS 2024

作者： De Moura, Paulo R. Moraes, Alexandre C. Silva, Hugerles S. Dias, Ugo S. De Figueiredo, Felipe A. P. De Souza, Rausley A. A. Technical Advisory Unit Anatel Brasília Brazil International Affairs Office Anatel Brasília Brazil Brasília Brazil National Institute of Telecommunications Inatel MG Santa Rita do Sapucaí Brazil University of Sydney SydneyNSW Australia

ISBN: (纸本)9798350389630

The sixth generation (6G) of mobile communications systems has driven many recent academic and industry-led research efforts. This paper shows that timely technology evolution can greatly benefit from standardization efforts currently lacking in fluid antenna systems (FASs). It highlights the importance of standardization in promoting this technology, helping to reach the 6G targets, and mapping the actions we understand are paramount in this effort. Furthermore, the potential of FAS to improve the radio interface in 6G by improving the well-consolidated multiple-input multiple-output (MIMO) antenna technology and exploring synergies with emerging reconfigurable intelligent surface (RIS) technology is explored. This paper also summarizes the findings and encourages the academic community to work together to overcome the obstacles of standardization and achieve the successful implementation of FAS. © 2024 ieee.

关键词： Global system for mobile communications

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An Integrated Neural Unmanned System for Multi-Domain Perception and Decision-Making

An Integrated Neural Unmanned System for Multi-Domain Percep...

引用

2022 ieee international conference on robotics and Biomimetics, ROBIO 2022

作者： Liu, Qiming Xu, Neng Zhang, Jinpeng Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China Shanghai Jiao Tong University SJTU Paris Elite Institute of Technology Shanghai200240 China Second Academy of China Aerospace Beijing100854 China Key Laboratory of Marine Intelligent Equipment and System Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China

ISBN: (纸本)9781665481090

Most recent intelligent systems study the perception or policy modules independently but ignore the inter-connection between them, which results in low information efficiency and high network redundancy, in the end, leads to the incomplete utilization of network potential and poor system-level end-to-end intelligence. This paper proposes an integrated end-to-end network that adapts to multi-domain inputs and multi-function outputs. 'Integration' is defined in this paper in mainly three aspects: network structure level, optimization level, and functional level. The integrated network architecture is capable of fusing multiple raw sensory inputs and outputting multiple perceptions and decisions simultaneously. We first implement the integrated system in a virtual simulation environ-ment and investigate the domain transformation methods to real world. Comprehensive experiment results in both virtual and real environments show that our proposed system can behave normally under exploration, target-driven navigation and target shooting tasks. © 2022 ieee.

关键词： intelligent systems

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Remodelled and Reduced complexity-OMP-based Channel Estimation Schemes for intelligent Reflecting Surface-Aided Millimeter Wave systems 16

Remodelled and Reduced complexity-OMP-based Channel Estimati...

引用

16th international conference on signal processing and Communication System, ICSPCS 2023

作者： Oyerinde, Olutayo Oyeyemi Flizikowski, Adam Marciniak, Tomasz School of Electrical and Information Engineering University of the Witwatersrand Johannesburg2050 South Africa Bydgoszcz University of Science and Technology Faculty of Telecommunications Computer Science and Electrical Engineering Bydgoszcz85-796 Poland

ISBN: (纸本)9798350333510

intelligent reflecting surface (IRS) has been put forward as one of the key candidate technologies to achieve high spectrum efficiency. However, to reach its full potential there is a need for the availability of accurate channel state information, which is quite challenging to estimate. This paper, therefore, focuses on proposing two compressive sensing algorithm-based channel estimation schemes to be used in the IRS-aided millimeter wave (mmWave) wireless communication systems. The first channel estimation named reduced complexity-orthogonal matching pursuit (OMP) (RedCOMP)-based channel estimation scheme seeks to achieve optimum performance while reducing the computational complexity associated with the traditional OMP algorithm. The second scheme named remodelled OMP (RemOMP)-based channel estimation method aims at obtaining enhanced channel estimate with the aid of side information known a priori at the receiver. Simulation results indicate that the proposed RemOMP-based channel estimator exhibits the best performance among the three channel estimation schemes with similar computational complexity cost to the traditional OMP-base channel estimator. However, the RedCOMP-based channel estimation scheme, while not showing good performance, incurred the least computational complexity cost among all the schemes. © 2023 ieee.

关键词： Millimeter waves

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Efficient Design and Implementation of Matrix Multiplication 1

Efficient Design and Implementation of Matrix Multiplication

引用

1st international conference on Circuits, Power, and intelligent systems, CCPIS 2023

作者： Kumar, Shivam Panda, Jeebananda Delhi Technological University Department of Electronics and Communication Delhi India

ISBN: (纸本)9798350315769

The semiconductor industry plays a crucial role in the design and manufacture of integrated circuits (ICs) used in a wide range of electronic devices. Matrix multiplication is of significant importance in various fields and applications as it plays a fundamental role in linear algebra, solving systems of linear equations, data analysis and machine learning, computer graphics and computer vision, network theory, graph algorithms, etc. This paper gives a thorough investigation into how the Wallace tree multiplier, Vedic multiplier, and parallel prefix adders might be combined to enhance matrix multiplication performance. These techniques contribute to achieving significant speed improvements and reduced and optimized resource utilization. Firstly, Ripple Carry adders, Kogge Stone adders, and Han Carlson adders have been designed and analyzed. After that, the Wallace tree multiplier and Vedic multiplier are designed using these adders. By combining both multiplier and adder, matrix multiplication designs, analyses the performance data, and interprets the results obtained from the experiments. Using the ISE Design Suite tools in Verilog, all circuits are created and simulations are run. The XC6SLX150T are the devices used for synthesis. © 2023 ieee.

关键词： Digital signal processing

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5G Network Slice Prediction using Hybrid Neural Network and Random Forest Model 9

5G Network Slice Prediction using Hybrid Neural Network and ...

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9th international conference on signal processing and Communication, ICSC 2023

作者： Ramya, V. Panda, Manoj Kumar Singh, Rimjhim Padam Kumar, Priyanka Department of Electronics and Communication Engineering Amrita School of Engineering Bengaluru Amrita Vishwa Vidyapeetham India Department of Computer Science University of Texas San AntonioTX United States

ISBN: (纸本)9798350383201

5G networks are designed to be highly flexible and dynamic in order to meet the diverse needs and demands of users, such as faster internet, increased reliability, low latency and the ability to connect multiple devices. Network slicing, a prominent feature of 5G, enables flexibility by efficiently allocating resources through the creation of multiple virtual or logical connections on the same physical network structure. Recently, learning based models have found applications in various network slicing tasks such as predicting traffic, controlling slice admissions and efficiently allocating resources to make intelligent decisions. In this paper a novel hybrid model has been developed using the combination of a neural network and the random forest to predict the accurate network slice based upon network characteristics and user devices. The comparative performance analysis on a standard dataset shows that the proposed model performs better with an accuracy of 99.1% compared to other conventional deep learning algorithms in predicting the correct slice. © 2023 ieee.

关键词： 5G mobile communication systems

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Design of a Container-based Broadband RF Pulse signal Analysis Algorithm Integration Scheme 8

Design of a Container-based Broadband RF Pulse Signal Analys...

引用

8th international conference on systems and Informatics, ICSAI 2022

作者： Tian, Wenfeng Deng, Hui Zeng, Pengfei State Grid Smart Grid Research Institute Co. Ltd Nanjing China State Grid Smart Grid Research Institute Co. Ltd Application State Nanjing China Electric Power Intelligent Sensing Technology Application State Grid Corporation Joint Laboratory Nanjing China

ISBN: (纸本)9781665474481

In order to better support the self-learning and dynamic upgrading of broadband RF pulse signal intelligent detection terminal for interference, partial discharge defective pulse signal features and its extraction algorithm, combined with the multi-sensor fusion, resource limitation and real-time information processing faced by the intelligent detection terminal, this paper is based on the principle of lightweight Docker container technology architecture, the partial discharge algorithm is developed, released, deployed, and The paper also adopts the multi-agent resource scheduling of lightweight containers to realize the intelligent scheduling of resources and continuous iteration of algorithms for broadband RF partial discharge detection system, supporting the development and application of broadband RF pulse signal detection and real-time analysis devices. © 2022 ieee.

关键词： Containers

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NL2STL: Transformation from Logic Natural Language to signal Temporal Logics using Llama2

NL2STL: Transformation from Logic Natural Language to Signal...

引用

ieee conference on Cybernetics and intelligent systems

作者： Yuchen Mao Tianci Zhang Xu Cao Zhongyao Chen Xinkai Liang Bochen Xu Hao Fang School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9798350364194

ISBN: (纸本)9798350364200

signal Temporal Logic (STL) is a formal language used for specifying and reasoning about the temporal properties of signals in a system. It provides a framework for expressing complex temporal behaviors and requirements in a concise and expressive manner. However, the main limitation of the current use of STL languages for describing machine tasks is that the construction of STL languages is still stuck on manual generation. Therefore, in this paper, we build a model for transforming logic natural language to STL formulas with a substantial increase in accuracy and inference speed, compared to the previous translation approach. Firstly, we pre-train a large language model (llama2) for logical ability, then we archive unsupervised learning with randomly generated STL language as a dataset and instruction fine-tuning on NL-STL pairs. Finally, we achieve an excellent result comparing to the work before.

关键词： Mechatronics Large language models Random access memory Formal languages Cognition Logic intelligent systems

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Coverage Path Planning Using Left Hand Rule and Slave Reinforcement Learning

Coverage Path Planning Using Left Hand Rule and Slave Reinfo...

引用

ieee international Symposium on intelligent signal processing and Communication systems (ISPACS)

作者： Muhammad Zakie Shahab Infall Syafalni Nana Sutisna Rahmat Mulyawan Beni Rio Hermanto Trio Adiono School of Electrical Engineering and Informatics Bandung Institute of Technology Indonesia Bandung Institute of Technology University Center of Excellence on Microelectronics Indonesia

ISBN: (数字)9798350389210

ISBN: (纸本)9798350389227

Coverage path planning (CPP) is a topic in robotics and automation with the goal for an agent to pass every point of travel in an area. Many interesting arguments have been offered to answer this problem, yet each answer has drawbacks, and researchers are challenged to decrease its flaws with their algorithms. This paper presents a combined method of the left-hand rule (LHR) method and the slave reinforcement learning (SRL) to answer the coverage path planning problem. By using LHR, we can divide the whole area into room partitions. When an area is passed by LHR, there may be a loop closing for the area to be partitioned as a room. After that, the agent will use the SRL to travel inside the partitioned area. Using LHR and SRL separately reduces the computing cost for the system to train SRL. Experimental results show that the proposed method achieves the coverage ratio to an average of 1.11 and the path efficiency to an average of 0.92 which shows effectivity in the usage of reinforcement learning for coverage path planning. The work is useful for smart navigation, smart mapping, and smart robotics.

关键词： Training Navigation signal processing algorithms Reinforcement learning signal processing Path planning Real-time systems Partitioning algorithms Mobile robots Testing

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Instrumentation and In-mould Data Acquisition System for Injection Moulding Process 4

Instrumentation and In-mould Data Acquisition System for Inj...

引用

4th international conference on Artificial Intelligence, robotics and Control, AIRC 2023

作者： Bernardo, Rodrigo M. C. Zhiltsova, Tatiana Oliveira, Monica S. A. Neto, Victor Caseiro, Joao Laranjeira, Jorge Andrade-Campos, Antonio Ferreira, Jorge A. F. University of Aveiro Mechanical Engineering Department Aveiro Portugal University of Aveiro TEMA-Centre for Mechanical Engineering and Automation Aveiro Portugal LASI-Intelligent Systems Associate Laboratory Guimaraes4800-058 Portugal CENTIMFE-Technological Centre for the Mouldmaking Special Tooling and Plastic Industries Marinha Grande Portugal Moldit Industria de Moldes S.A. Loureiro Oliveira de Azemeis Portugal

ISBN: (纸本)9798350348248

Developing new tools for industry that lead to a sustainable development is essential. This paper briefly presents the challenges the injection moulding industry faces in manufacturing plastic products and the requirement for moulds to possess specific characteristics to withstand the high pressures and thermal loads imposed on them. Over-sizing moulds to meet these requirements results in elevated production, operation, and logistics costs. To address this challenge, an in-mould monitoring architecture is proposed to measure fundamental mould variables, such as pressure, temperature, vibrations, strain, and displacement. The sensors and the computational architecture required for data acquisition, pre-processing, and storage are described. It also presents a user-friendly front-end architecture example and a user interface (UI) developed using Python. Although preliminary, the results presented here provide evidence of the system's validity. The monitoring system proposed in this paper, may provide a valuable tool to develop novel models and control strategies for the injection moulding industry that could help to reduce mould oversizing, leading to significant economic and environmental benefits. © 2023 ieee.

关键词： Injection molding

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A real-time neuro-robot system for robot state control

A real-time neuro-robot system for robot state control

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2022 ieee international conference on Real-Time Computing and robotics, RCAR 2022

作者： Chen, Zhe Sun, Tao Wei, Zihou Chen, Xie Shimoda, Shingo Fukuda, Toshio Huang, Qiang Shi, Qing School of Medical Technology Beijing Institute of Technology Beijing100081 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing100081 China Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Ministry of Education Beijing100081 China RIKEN Center for Brain Science TOYOTA Collaboration Center Nagoya4630003 Japan

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

Embodying an in vitro biological neural network (BNN) with a robot body to achieve in vitro biological intelligence has been attracting increasing attention in the fields of neuroscience and robotics. As a step forward toward this aim, here we propose a real-time neuro-robot system based on calcium recording, which consists of a modular BNN and a simulated mobile robot. In this system, the neural signal of the BNN is recorded, analyzed, and decoded to control the motion state of the mobile robot in real-time. The sensor data of the robot is encoded and transmitted to control an electrical pump. The electrical pump is included in the system to estimate the real-time performance of the system. An obstacle avoidance task is chosen as proof-of-concept experiments. In the experiments, a calcium recording video of a BNN is replayed to emulate the real-time video stream. The video is monitored and analyzed by a custom-made graphical user interface (GUI) to control the robot motion state and the electrical pump. Experimental results demonstrate that the proposed neuro-robot system can control the robot motion state in real-time. In the future, we will connect the electrical pump to the BNN and transmit the signal from the robot to the BNN by applying local drug stimulation, therefore realizing a closed-loop neuro-robot system. © 2022 ieee.

关键词： Mobile robots

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