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Exploring 5G Data Rates: An Analysis of Thailand's Iconic Landmarks - The Grand Palace and Wat Arun

Exploring 5G Data Rates: An Analysis of Thailand's Iconic La...

引用

2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Daengsi, Therdpong Arunruangsirilert, Kasidis Sirawongphatsara, Patsita Phanrattanachai, Kritphon Yochanang, Thanawat Rmutp Sustainable Industrial Management Engineering Bangkok Thailand Waseda University Computer Science and Communications Engineering Tokyo Japan Rmutto Computer Science Chonburi Thailand Pcru Electronics and Automation Systems Engineering Phetchabun Thailand Kmutnb Data Communication and Networking Bangkok Thailand

ISBN: (纸本)9798350310689

The recent deployment of 5G New Radio (NR) technology promises to transform the possibility of mobile networks around the world. In many Asian countries, including Thailand, video content, both on-demand and live, dominates the online content market. It's not uncommon for tourists and content creators to create such content at tourist destinations, then immediately upload them to the social media platforms like YouTube, Instagram, and Tiktok. As video content takes up a lot of transmission bandwidth in the uplink direction, this provides a new challenge for any Mobile Network Operator (MNO) as many User Equipment (UE) compete with each other for the limited uplink bandwidth available at the base station serving the tourist destination. In this paper, the performance of the 5G network of two Thai MNO at two of the most popular tourist destinations in Bangkok, Thailand, will be evaluated. The results showed that the 5G quality of service (QoS) at these two landmarks was significantly lower than the typical performance at BTS Skytrain stations located in the business districts. Additionally, even though these two landmarks are located close to each other, there was a significant difference in 5G QoS between the two. © 2023 IEEE.

关键词： Wireless networks

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Joint Optimizations for Double-IRS' Cooperative Positioning and Beamforming Over Massive-MIMOAP Based 6G Secure Mobile Wireless Networks

Joint Optimizations for Double-IRS' Cooperative Positioning ...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Wang, Jiaojie Wang, Fei Zhang, Xi Yang, Yuanyuan Southwest University College of Electronic and Information Engineering Chongqing400715 China Texas A&m University Networking and Information Systems Laboratory Department of Electrical and Computer Engineering College StationTX77843 United States Stony Brook University Department of Electrical and Computer Engineering Stony BrookNY11794 United States

ISBN: (纸本)9798350351255

Intelligent reflecting surface (IRS) has been widely recognized as one of the key techniques to improve secure communications performances. However, most existing works mainly focus on the passive beamforming, i.e., phase-shifts, design of a single IRS, without taking into account the cooperations among multiple IRSs and the optimizations of their relative positions. To overcome these deficiencies, in this paper we propose the joint optimizations between the transmit beamforming of massive multiple-input multiple-output (massive-MIMO) access point (AP) and double-IRS' positions and passive beamforming over 6G secure mobile networks. In our proposed networking architectures, AP transmits data to multiple mobile users (MUs) through reflections of two cooperative IRSs under the existence of one eavesdropper (Eve). First, we formulate a secrecy rate optimization problem to maximize the expectations of all MUs' aggregate secrecy rates when Eve's exact position is unknown. Second, leveraging the deep reinforcement learning (DRL), we develop two joint deploying and beamforming schemes to tackle the uncertainty of Eve's exact position. Finally, we validate and evaluate our developed schemes by conducting the extensive simulations, showing the significant performances improvements of our developed schemes through jointly optimizing IRSs' positions/orientations and transmit-beamforming of massive-MIMOAP as the function of the predicted Eve's deploying areas. © 2024 IEEE.

关键词： Deep reinforcement learning

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Intelligent Detection System for a Distributed Denial-of - Service (DDoS) Attack Based on Time Series

Intelligent Detection System for a Distributed Denial-of - S...

引用

International Conference on Developments in esystems Engineering (DESE)

作者： Mustafa S. Ibrahim Alsumaidaie Khattab M. Ali Alheeti Abdul Kareem Al-Aloosy Department of Computer Science University of Anbar Ramadi Iraq Computer Networking Systems Department University of Anbar Ramadi Iraq

With a surge in the usage of systems that largely depend on networking and programming, the need for cybersecurity has grown as well. Cyberattacks are a rising threat to companies and people. The Distributed Denial of Service (DDoS) attack is one of the destructive hacks that have swiftly acquired appeal among hackers. In this work, a security system is proposed to prevent DDoS. In other words, it has the ability to protect external and internal communication systems from attacks. The primary contribution of this work is to acquire the best accuracy based on time series. Multiple machine learning algorithms are applied and compared between them. The Random Forest accuracy is 100% and the XGBoost was 91% using the same data set.

关键词： Machine learning algorithms computer hacking Time series analysis Surge protection Companies Programming Denial-of-service attack

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QSroute : A QoS Aware Routing Scheme for Software Defined networking 8

QSroute : A QoS Aware Routing Scheme for Software Defined Ne...

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8th IEEE International Conference on Software Engineering and computer systems, ICSECS 2023

作者： Kamarudin, Imran Edzereiq Ameedeen, Mohamed Ariff Umar Ong, Muhamad Idaham Zabidi, Azlee Universiti Malaysia Pahang AL-Sultan Abdullah Faculty of Computing Department of Computer Systems and Networking Pekan Malaysia Department of Software Engineering Faculty of Computing Universiti Malaysia Pahang AL-Sultan Abdullah Pekan Malaysia

ISBN: (纸本)9798350310931

The increasing demand for bandwidth-intensive network applications, such as video streaming, multimedia, and Internet of Things (IoT) applications, necessitates improved resource management to protect the network without compromising Quality of Service (QoS). Meeting these challenges requires a centralized view of all available network resources. Software Defined networking (SDN), an emerging technology, provides a centralized view and control of network resources. This feature enables administrators to programmatically define and manage network behavior, including routing, making it more flexible and adaptable. This study proposes a QoS-aware routing scheme for SDN that considers available bandwidth, packet delay, and packet loss to determine the optimal routing path. Optimal paths are selected based on meeting predefined threshold criteria. The study concludes by discussing potential directions for future research in this field. © 2023 IEEE.

关键词： Quality of service

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TXOP sharing with Coordinated Spatial Reuse in Multi-AP Cooperative IEEE 802.11be WLANs 19

TXOP sharing with Coordinated Spatial Reuse in Multi-AP Coop...

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19th IEEE Annual Consumer Communications and networking Conference, CCNC 2022

作者： Nunez, D. Wilhelmi, F. Avallone, S. Smith, M. Bellalta, B. Universitat Pompeu Fabra Wireless Networking Group Germany Spain University of Napoli Federico II Department of Computer Engineering Italy CISCO Systems United States

ISBN: (纸本)9781665431620

IEEE 802.11be networks (aka Wi-Fi 7) will have to cope with new bandwidth-hungry and low-latency services such as eXtended Reality and multi-party cloud gaming. With this goal in mind, transmit opportunity (TXOP) sharing between coordinated access points (APs) may contribute to alleviating inter-AP contention, hence increasing the overall network throughput. This paper evaluates two coordinated TXOP sharing strategies: coordinated time division multiple access (c-TDMA) and coordinated-TDMA with spatial reuse (c-TDMA/SR). We show that, while c-TDMA alone does not result in any significant improvement in terms of the WLAN throughput, it lays the groundwork to implement coordinated SR (c-SR) techniques. To evaluate the performance of c-TDMA/SR, we propose a fair scheduler able to select the best subset of parallel transmissions in WLAN deployments, as well as the appropriate power levels to be used by APs and stations (STAs), leading to maximum performance. The results obtained for c-TDMA/SR show significant throughput gains compared with c-TDMA, with values higher than 140% in 90% of the considered scenarios. © 2022 IEEE.

关键词： Wireless local area networks (WLAN)

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Reduced Spread Risk of COVID-19 based on Tracking System Monitoring in WSNs

Reduced Spread Risk of COVID-19 based on Tracking System Mon...

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International Conference on Developments in esystems Engineering (DESE)

作者： Majed H. Fahed Ahmed N. Rashid Computer Sciences College of Computer and Information Technology University of Anbar Iraq Computer Networking Systems College of Computer and Information Technology University of Anbar Iraq

The phrase "COVID-19" has become the most popular and highly searched term on Google since its emergence in November 2019. The world must combat this pandemic. With advancements in mobile technology and sensors, Developing Internet of Things (IoT)-based healthcare solutions is now feasible. Proactive as well as preventative, these new systems, are in contrast to the traditional reactive healthcare systems. In this study, a paradigm based on the Internet of Things is proposed for detecting COVID-19 suspects. The framework presented in this research focuses on predicting COVID-19 in its early stages. To determine whether the virus is present, it uses health measurements collected from sensors and other Internet of Things devices. By gathering symptom data related to COVID-19, the behavior of the virus can be better understood. Four machine learning models are introduced in this paper: CatBoost, Decision Tree, Random Forest, and Logistic Regression. These models are used to create a Diagnostic Learning Classifier (DLC) model. The top three performing models, Decision Tree, Logistic Regression, and CatBoost, are combined using a weighted average or majority voting approach, depending on the nature of the problem. The DLC model is compared to base models such as Random Forest, Decision Tree, Logistic Regression, and CatBoost, using multiple evaluation criteria. The goal of this ensemble model is to increase forecast accuracy by utilizing the variety and advantages of the chosen models. It delivers great diagnostic accuracy when used as a machine learning model on the gathered data. Notably, the DLC classifier achieves an accuracy of 91%, followed by Random Forest (86%), CatBoost (85%), Logistic Regression (84%), and Decision Tree (82%). These results demonstrate the effectiveness of the voting classifier in efficiently managing COVID-19 by accurately diagnosing patients and notifying health authorities of suspected cases.

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Efficient SPARQL Query Processing in MapReduce

Efficient SPARQL Query Processing in MapReduce

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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Zaid Momani Abdelraouf Ishtaiwi Ahmed Noori Rashid Department Data Science and Artificial Intelligence University of Petra Amman Jordan Department of Computer networking systems University of Anbar Ramadi Iraq

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Existing approaches to parallel SPARQL query processing in MapReduce often suffer from suboptimal parallelism, particularly when handling complex queries with multiple joins. Recent advancements have explored novel multiway join techniques, indexing mechanisms, and distributed graph systems to address these challenges. In this paper, we extend the discussion by incorporating state-of-the-art strategies such as adaptive query optimization and fine-grained partitioning approaches. Our enhanced methodology demonstrates how multiway joins can be efficiently implemented in a single MapReduce job by leveraging recent innovations in RDF storage and query processing. Experimental results validate the scalability and partial effectiveness of our proposed method on large-scale datasets, with notable improvements for specific query patterns over baseline approaches.

关键词： Performance evaluation Technological innovation Query processing Scalability Organizations Benchmark testing Parallel processing Data processing Resource description framework Hardware

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A Mobile–Based Application for Enhance the Knowledge of Kindergarten Children

A Mobile–Based Application for Enhance the Knowledge of Kin...

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Advancements in Computing (ICAC), International Conference on

作者： Tharuka Sathintha Omal Basnayake Piyumi Wickramasinghe Rusiru Dharmakeerthi Uditha Dharmakeerthi Anuradha Jayakody Department of Computer Systems Networking Sri Lanka Institute of Information Technology Malabe Sri Lanka

This proposal outlines the development of a mobile application aimed at enhancing the learning capabilities of Sri Lankan kindergarteners. Through the improvement of early writing and speaking skills, emotion recognition, and personalized memory assessments, the application seeks to identify and address learning gaps in young children. The application's core focus includes four key components: refining writing skills through guided practice, empowering parents to identify and track their child's weaknesses and progress, enabling accurate pronunciation practice and tracking, and promoting emotional awareness by identifying and reflecting emotions through music. Additionally, the app offers tailored memory assessments via a mobile game, catering to individual learning needs and fostering cognitive growth. Extensive research, collaboration with educators, psychologists, and parents, as well as usability testing, contribute to the app's effectiveness and user-friendliness. By providing personalized learning experiences, the mobile application has the potential to significantly enhance educational outcomes for Sri Lankan children, equipping them with essential skills in writing, speaking, emotional intelligence, and memory retention.

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Integrated Sensing, Communications, and Powering for Statistical-QoS Provisioning Over 6G Massive-MIMO Mobile Networks Using FBC

Integrated Sensing, Communications, and Powering for Statist...

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IEEE International Conference on Communications (ICC)

作者： Xi Zhang Qixuan Zhu Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

To satisfy the stringent quality-of-service (QoS) requirements of 6G mobile wireless networks on both channel state estimations and information transmissions, the integrated sensing and communication (ISAC) has been an enabling technique to sense and communicate by sharing the same frequency band and hardware. Simultaneous wireless information and power transfer (SWIPT) has also emerged to simultaneously deliver information and energy to a receiver. However, how to integrate ISAC with SWIPT to support the 6G traffic has imposed many new challenges not encountered before. To conquer these difficulties, in this paper we propose an integrated sensing, communications, and powering (ISACP) scheme for supporting statistical-QoS provisioning over 6G wireless networks using massive multiple-input and multiple-output (massive MIMO) communications. First, we establish system models for our ISACP scheme and define the Cramér-Rao bound and channel estimation distortion under our proposed ISACP scheme. Second, we develop the performance metrics of Cramér-Rao bound and channel estimation distortion to derive the capacity-distortion function to jointly measure the performance of integrated sensing, communication, and powering. Third, we integrate the capacity-distortion function with the finite blocklength coding (FBC) through deriving the ISACP-based ϵ-effective capacity to support the statistical delay and error-rate bounded QoS provisioning in 6G. Fourth, we maximize the energy-efficiency by controlling the optimal wireless power transfer for our ISACP scheme. Finally, we use numerical analyses to validate and evaluate our proposed ISACP scheme.

关键词： 6G mobile communication Wireless sensor networks Wireless networks Channel estimation Quality of service Integrated sensing and communication Distortion

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Statistical Security-QoS Provisioning for mURLLC Over Massive-MIMO Based 6G Mobile Wireless Networks Using FBC

Statistical Security-QoS Provisioning for mURLLC Over Massiv...

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MILCOM, Military Communications Conference

作者： Xi Zhang Qixuan Zhu Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University College Station TX USA

ISBN: (数字)9798350374230

ISBN: (纸本)9798350374247

The 6G mobile wireless networks are expected to support massive ultra-reliable and low-latency communications (mURLLC) with stringent requirements on transmission-delay and error-rate bounded quality-of-service (QoS). Correspondingly, the finite blocklength coding (FBC) has developed as the effective technique to implement small-packet communications for the statistical QoS provisioning over mURLLC-based 6G mobile networks. On the other hand, guaranteeing the security for 6G networks services imposes another new dimension of statistical QoS requirements. However, how to efficiently upper-bound the statistical delay and the error probability over time-varying wireless fading channels while guaranteeing the security QoS using FBC remain a challenging problem. To overcome these difficulties, in this paper we propose and develop the new concept of secrecy ϵ-effective capacity as a statistical security QoS scheme to guarantee the performance of statistical delay-bounded QoS, error-rate bounded QoS, and the secrecy-information leak-probability bounded QoS by using the FBC technique. First, we establish the wireless channel model of massive multiple-input-multiple-output (MIMO) for supporting the communications between the base station and multiple mobile users with the existence of an eavesdropper. Second, we define and derive the eavesdropping rate and secrecy rate under the massive MIMO communication. Third, we derive the secrecy-information leak probability and integrate it with statistical delay and error-rate bounded QoS to define the new wireless network communications performance metrics of secrecy ϵ-effective capacity. Finally, we use the numerical analyses to validate and evaluate our developed schemes for supporting statistical delay and error-rate bounded QoS provisioning while upper-bounding the secrecy-information leak probability over 6G mobile networks using massive-MIMO/FBC.

关键词： 6G mobile communication Military communication Measurement Numerical analysis Wireless networks Quality of service Delays Security Communication system security Capacity planning

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