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Optimization of New Radio Physical Uplink Shared Channel Resources Allocation with Efficient Demodulated Referenced Signals and PT-RE Deployment

Optimization of New Radio Physical Uplink Shared Channel Res...

引用

2024 International Conference on Electrical, electronics and Computing Technologies, ICEECT 2024

作者： Upadhyay, Deepak Gupta, Mridul Sharma, Kunj Bihari Upadhyay, Abhay Yadav, Satya Prakash Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Bennett University School of Computer Science Engineering and Technology Greater Noida India

ISBN: (纸本)9798350378092

This paper explores the resource allocation optimisation of New Radio Physical Uplink Shared Channels with an emphasis on the effective implementation of Phase Tracking Reference Signals and Demodulation Reference Signals in 5G networks. Understanding how important these reference signals are to dependable communication, we created a Python framework to model and display their distribution on a time-frequency grid. By carefully modifying important factors including mapping type, PRB allocation, and symbol allocation, our method greatly increased resource efficiency, decreased overhead, and improved signal quality. The results show how sophisticated resource allocation techniques may be used to maximise system performance, providing important information for the creation of more reliable and effective 5G NR communication systems © 2024 IEEE.

关键词： 5G mobile communication systems

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A Compact Microstrip Band-pass Filter for S/C-band Applications

A Compact Microstrip Band-pass Filter for S/C-band Applicati...

引用

2024 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2024

作者： Nayak, Anil Kumar Filanovsky, Igor M. Moez, Kambiz Patnaik, Amalendu Dept. of Electronics and Communication Engineering Indian Institute of Technology Uttarakhand Roorkee247667 India iCAS Laboratory Dept. of Electrical and Computer Engineering University of Alberta Canada

ISBN: (纸本)9798350379693

This paper presents a compact planar ultrawideband (UWB) band-pass filter (BPF). Initially, it employs a compact BPF with a reversible notched band to reject unwanted signals. The second phase entails determining and establishing the conventional microstrip feed's input impedance at a fixed value of 50 ohms. Then, to eliminate the unwanted signal, a triangle-shaped patch is etched from an L-shaped parallel linked transmission line. The bottom part of the BPF receives grounding. The BPF is designed, simulated, and fabricated in the laboratory. The measured fractional impedance bandwidth of 4.42 and 25.83%, minimum insertion loss of 1.40 and 0.32 dB, and minimum total loss of 15 and 8%, along with flat group delay at first and second resonant frequencies, respectively. Notably, BPF exhibits minimal loss, exceptionally low distortion, and acceptable speed. It demonstrates that the simulation and experimental results support the conclusions. The proposed BPF is suitable for S/C-band applications. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Real-Time Object Detection with IOT Using a Smart Cart 18

Real-Time Object Detection with IOT Using a Smart Cart

引用

18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Omer, Muhammad Ali, Sardar Jaffar Raza, Syed Muhammad Le, Duc-Tai Choo, Hyunseung College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Sungkyunkwan University Dept. of Computer Science and Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of AI System Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350331011

With Industry 4.0's technological advancements, the convenience and affordability of Artificial Intelligence (AI) and IoT have increased. However, customers still face long waiting times in payment queues during the smart shopping experience. Current solutions rely on expensive sensor-based RFIDs or simple barcodes, making them impractical and limited in scalability. This paper proposes an economically smart solution with two cameras on NVIDIA JETSON NANO for realtime object monitoring and automated shopping. Communication between modules is facilitated by TCP/IP and HTTP protocols. By utilizing the YOLO v7, real-time monitoring is achieved. This innovative approach revolutionizes the customer experience by providing a seamless interface and time-saving features. Additionally, it offers potential integration with e-commerce businesses and payment gateways, further enhancing the overall customer and vendor experience. © 2024 IEEE.

关键词： Graphical user interfaces

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Implications of Resource Optimization in D2D Communication for Efficient Usage of RF Energy: Practice and Challenges 3

Implications of Resource Optimization in D2D Communication f...

引用

3rd IEEE International Conference on Intelligent Technologies, CONIT 2023

作者： Pradhan, Devasis Suma, C. Rajeswari Carva, Celso Barbosa Acharya Institute of Technology Dept. of Electronics & Communication Engineering Bangalore India Federal University of Amazonas Dept. of Electronics & Computer Engineering Amazonas Brazil

ISBN: (纸本)9798350338607

In order to meet the requirements of fourth generation (4G) and fifth generation (5G) technologies, the device-to-device (D2D) communication system is crucial. D2D communication makes use of communicating devices that are close by in order to make better use of the resources that are available, reduce latency, increase data rates, and expand system capacity at the same time. D2D's development is driven by the mobile operator's actions to collect short-range communications for network performance enhancement and maintenance of proximity-based services. The number one goal of the observe is to provide a complete evaluate of latest trends in a variety of D2D domain names, aid allocation and optimization for D2D packages for 5G technologies, interference management, strength manipulate strategies, and the invention technique for sustainable verbal exchange in 5G community with effective usage of energy. © 2023 IEEE.

关键词： Energy efficiency

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Beamforming and Phased Arrays: Elevating MIMO-OFDM Systems for Next-Generation Wireless Networks

Beamforming and Phased Arrays: Elevating MIMO-OFDM Systems f...

引用

2024 International Conference on Electrical, electronics and Computing Technologies, ICEECT 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Yadav, Satya Prakash Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Bennett University School of Computer Science Engineering and Technology Greater Noida India

ISBN: (纸本)9798350378092

This study explores the optimisation of Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems through the use of phased arrays and advanced beamforming methods. With a focus on overcoming the challenges that come with 5G wireless communication, like high data rate needs, interference resistance, and efficient spectrum usage, this work presents a novel approach that combines dynamic beam steering and adaptive precoding to significantly enhance system performance. Through thorough modelling, we demonstrate considerable improvements in bit error rates (BER), throughput, and spectrum efficiency compared to traditional MIMO-OFDM configurations. The results demonstrate a 25% improvement in throughput and a 40% reduction in BER in densely populated metropolitan environments, underscoring the potential of phased arrays and beamforming to further improve 5G network performance. This work not only validates the efficacy of the proposed enhancements but also establishes a foundation for future advancements in wireless communication systems by highlighting the critical roles that phased arrays and beamforming will play in achieving the maximum potential of 5G technology. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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A Comprehensive Study on Different Variants of TCP Protocol in Wireless Network 5

A Comprehensive Study on Different Variants of TCP Protocol ...

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5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Kabir, Sayem Biswas, Akash Chandra Shaikh, Rizwan Paul, Anup Kumar East West University Dept. of Computer Science and Engineering Dhaka Bangladesh East West University Dept. of Electronics and Communications Engineering Dhaka Bangladesh East West University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350367171

Today's world is highly dependent on the internet, and as a result, the usage of the internet in all aspects of our lives is rapidly rising. The congestion control algorithm is a crucial component of TCP. It was built on the idea that packet loss is generally relatively minimal and that packet loss is consequently an indicator of network congestion. The congestion control algorithm used by a specific version of TCP determines its performance characteristics. This paper will give an overview of different TCP variants, their characteristics, and comparisons in wireless networks. In this paper, we have experimented with four TCP variants (TCP CUBIC, TCP Vegas, TCP YeAH, TCP Westwood Plus) and analyzed their performance for a varying number of nodes. The performance of TCP protocols was experimentally evaluated using Network Simulator Version-3 (NS3). Our results demonstrated that TCP CUBIC outperformed other variants in terms of packet loss and throughput. Regarding packet loss, TCP CUBIC suffered a substantially lower average packet loss than other TCP variations. Furthermore, TCP CUBIC's average throughput was marginally higher than TCP Westwood Plus and TCP YeAH, but significantly higher than TCP Vegas. © 2024 IEEE.

关键词： Packet loss

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Analysing Breast Cancer Classification Using Explainable Artificial Intelligence 12

Analysing Breast Cancer Classification Using Explainable Art...

引用

12th International Conference on Internet of Everything, Microwave, Embedded, Communication and Networks, IEMECON 2024

作者： Fardeen, Kazi Bhaduri, Harshadeep Hazra, Soham Mondal, Praloy Manna, Sarbajit Si, Tapas Dept. of Computer Science & Electronics Ramakrishna Mission Vidyamandira Belur Math West Bengal Howrah711202 India Dept. of Computer Science & Engineering University of Engineering & Management Rajasthan Jaipur India

ISBN: (纸本)9798350387315

Worldwide, breast cancer is becoming the most serious illness that affects women. It is believed that early diagnosis and treatment of breast cancer can increase survival rates and decrease the need for surgery. Machine Learning model is very reliant on features for their proper training. However, understanding how a prediction is being affected by specific features is very important for a model’s interpretation. Understanding what features support a prediction is important as it provides some transparency to the inner workings of the model. Gaussian Naive Bayes (GNB), Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) are used to classify the breast cancer data, and accuracy, sensitivity, specificity, false-positive rate, precision, F1-score, and Geometric-Mean (GM) are used for the performance assessment. Furthermore, Multi-Criteria Decision Making (MCDM) is used to evaluate overall performance assessment based on the aforementioned performance measures and DT is found to be best among all the classifiers. Finally, an Explainable AI model namely LIME is used to interpret the predicted outcomes and impact of the different features of the data on the model’s prediction. © 2024 IEEE.

关键词： Lung cancer

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Performance estimation of direct and indirect transmission in V2X communications

Performance estimation of direct and indirect transmission i...

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2024 Panhellenic Conference on electronics and Telecommunications, PACET 2024

作者： Keramidi, Irene Uzunidis, Dimitris Moscholios, Ioannis Yiannopoulos, Konstantinos Sagias, Nikos Sarigiannidis, Panagiotis University of Peloponnese Dept. Informatics and Telecommunications Tripolis Greece University of West Attica Dept. Electrical and Electronic Engineering Athens Greece University of W. Macedonia Dept. Electrical and Computer Engineering Kozani Greece

ISBN: (纸本)9798350318845

In this paper, we evaluate the performance of a vehicular ad hoc network that enables Vehicle-to-Everything (V2X) communication considering direct and indirect packet transmission. As a performance indicator, we use the blocking probability due to the unavailability of resources. For the blocking probability calculation, we utilize two loss models from the teletraffic theory. The results demonstrate that both the capacity of the V2X links and the number of hops in the multi-hop transmission significantly affect the blocking probability of a request for service and consequently the QoS. © 2024 IEEE.

关键词： Blocking probability

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Enhancing Cabbage Plant Protection: CNN Algorithm for Insect Identification

Enhancing Cabbage Plant Protection: CNN Algorithm for Insect...

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2024 International Conference on Information Technology Research and Innovation, ICITRI 2024

作者： Senjaya, Remi Musa, Purnawarman Sularsih, Puji Novrina, Novrina Aryunani, Witari Suhartini, Suhartini Gunadarma University dept. of Informatics Engineering Depok Indonesia Gunadarma University dept. of Electrical Engineering Depok Indonesia Gunadarma University dept. of Information Technology Depok Indonesia Gunadarma University dept. of Computer Science Depok Indonesia

ISBN: (纸本)9798350376210

People frequently find it straightforward to identify insects that feed on cabbage plants based on the insects' characteristics. However, challenges arise when employing a computer for precise bug categorization and identification. The implementation of Deep Learning (DL) utilizes the Convolutional Neural Network (CNN) technique, renowned for its effectiveness in categorizing and recognizing objects in digital photo data. The CNN algorithm delivers notable results in photo identification, simulating the human visual brain's image recognition through artificial neural networks in the Python programming language. To enrich the user experience, frameworks like Keras and TensorFlow are employed in neural network development. Our research will use the CNN algorithm to determine insect species in cabbage images. Achieving high accuracy involves coupling the CNN algorithm with the VGGNet architectural model. Notably, utilizing an epoch value of 150 resulted in a 97.75% accuracy rate during the training model technique;however, the validation accuracy was slightly lower at 94.25%. The corresponding loss and validation rates were 0.0613% and 0.2945%, respectively. Moreover, based on the model (150 epochs), the testing outcomes in the study, involving 48 images beyond the dataset and incorporating additional information, resulted in an accuracy rate of 91.66%. © 2024 IEEE.

关键词： Convolutional neural networks

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Leveraging ReRAM Sequence Graphs for Efficient Mapping of Binary Adders in ReRAM Crossbars 28

Leveraging ReRAM Sequence Graphs for Efficient Mapping of Bi...

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28th International Symposium on VLSI Design and Test, VDAT 2024

作者： Dhal, Pragnya Deb, Arighna Das, Subrata Das, Debesh Kumar Kalinga Institute of Industrial Technology School of Electronics Engineering Bhubaneswar India Supreme Knowledge Foundation Group of Institutions Dept. of Computer Science & Engineering Hooghly India Jadavpur University Dept. of Computer Science & Engineering Kolkata India

ISBN: (纸本)9798350380101

Memristor, also known as Resistive Random Access Memory (ReRAM), enables in-memory computing by processing data directly within storage locations, thus mitigating the data transfer bottleneck between the processor and memory in high-speed applications. However, existing methods for implementing addition of two n-bit operands within ReRAM/memristor crossbar structures do not ensure minimal device utilization or minimal ReRAM/memristor read-write cycles. In this paper, we propose a novel approach for implementing n-bit addition in ReRAM crossbars to optimize the usage of the ReRAM device and minimize read-write cycles. We develop the ReRAM Sequence Graph (ReSG) to efficiently represent adder functionality and systematically allocate ReRAM devices to ReSG nodes. Furthermore, we present a scheduling mechanism for implementing ReSG nodes within ReRAM crossbars, accelerating the execution of the addition operation. Experimental evaluations show that our method surpasses current approaches, achieving better device utilization and reduced read-write cycles. © 2024 IEEE.

关键词： Data transfer

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