2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)最新文献_第5页

Study of Spiking Neural Network-Based Regressor on Applications in Digital Predistortion for Power Amplifiers 基于尖峰神经网络的调节器在功率放大器数字预失真中的应用研究

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365305

Yongtao Wei, Siqi Wang, Farid Nait-Abdesselam, Aziz Benlarbi-Delai

{"title":"Study of Spiking Neural Network-Based Regressor on Applications in Digital Predistortion for Power Amplifiers","authors":"Yongtao Wei, Siqi Wang, Farid Nait-Abdesselam, Aziz Benlarbi-Delai","doi":"10.1109/CommNet60167.2023.10365305","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365305","url":null,"abstract":"Digital predistortion (DPD) technology linearizes power amplifiers (PAs) so that they can operate in a high-efficiency region. The estimation of the coefficients for the DPD model is therefore crucial but resource-intensive. Meanwhile, spiking neural networks (SNNs) are considered to have advantages in energy efficiency due to their ability to closely mimic the activity of human brain neurons. In this paper, we introduce a novel approach to estimate the coefficients of the DPD model. This approach uses a regressor with a structure that combines SNN and artificial neural network (ANN), along with two different loss functions. The proposed method is evaluated with datasets measured on a strongly nonlinear PA with a peak output power of 200W. The results show that we can achieve a good fit of generalized memory polynomial (GMP) based DPD coefficients with the proposed method. To the best of our knowledge, this is the first time that the SNN is used in computing DPD coefficients. This study offers valuable insights into the potential of SNN-based wireless communication technologies.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"38 4","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using SDN to Enhance Load Balancing in Cloud Computing: An Overview and Future Directions 使用 SDN 增强云计算中的负载平衡：概述与未来方向

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365294

Hicham Yzzogh, H. Benaboud

引用次数: 0

Time estimation in Port Terminals: The Key Role of Automation Revealed by Data Analysis with Deep Learning 港口码头的时间估算：深度学习数据分析揭示自动化的关键作用

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365277

Ayoub El Idrissi, A. Haidine

{"title":"Time estimation in Port Terminals: The Key Role of Automation Revealed by Data Analysis with Deep Learning","authors":"Ayoub El Idrissi, A. Haidine","doi":"10.1109/CommNet60167.2023.10365277","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365277","url":null,"abstract":"Accurate estimation of the time spent by ships in port terminals plays a vital role in operational efficiency. This paper highlights the significant impact of automation through in-depth data analysis with Deep Learning. The study is based on observations of the time spent by ships as a function of their characteristics, integrating the level of terminal automation and the development ranking of the countries where these ports are located. The deep learning model trained can be used to analyze historical and real-time data, identify patterns, and predict time spent in terminal port accurately. The research findings highlight the variables that have the greatest impact on port performance and discuss how managing these variables effectively can optimize port processes and reduce vessel turnaround times. The study also emphasizes the role of automation, and data analytics in making informed decisions for optimizing port terminal delay. The results demonstrate the tangible benefits of automation in seaport operations, offering valuable insights to decision-makers and port managers to enhance operational efficiency and deliver higher quality services. Leveraging automation can unlock opportunities to improve competitiveness, sustainability, and overall operational performance in the dynamic maritime industry.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"77 11","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139183736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secrecy Performance of Uplink MIMO-NOMA with Antenna Selection in a Mixed RF-FSO System 混合 RF-FSO 系统中带有天线选择的上行链路 MIMO-NOMA 的保密性能

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365183

Amani A. Osman, J. M. Moualeu, F. Takawira

引用次数: 0

Enhanced MPR Selection Algorithm Based on Metrics for the OLSR Routing Protocol 基于指标的 OLSR 路由协议增强型 MPR 选择算法

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365281

Younes Hamzaoui, Mohammed Chekour, M. Amnai

引用次数: 0

Analysis of inter-Mean-Opinion-Score (iMOS) and QoS metrics for 5G Voice over LTE (VoLTE) and Voice over New Radio (VoNR) services over IP-Multimedia-Subsystem (IMS) in 5G mobile networks 分析 5G 移动网络中 IP 多媒体子系统（IMS）上的 5G LTE 语音（VoLTE）和新无线语音（VoNR）服务的平均意见分数（iMOS）和 QoS 指标

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365299

J. A. Arnez, C. B. D. De Souza

{"title":"Analysis of inter-Mean-Opinion-Score (iMOS) and QoS metrics for 5G Voice over LTE (VoLTE) and Voice over New Radio (VoNR) services over IP-Multimedia-Subsystem (IMS) in 5G mobile networks","authors":"J. A. Arnez, C. B. D. De Souza","doi":"10.1109/CommNet60167.2023.10365299","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365299","url":null,"abstract":"At present, mobile network operators (MNO) need to improve Quality of Service (QoS) and Quality of Experience (QoE) of voice and video services to compete with over-the-top (OTT) Voice over IP (VoIP) applications. For an MNO to be able to provide HD voice and video calls, is essential to use a dedicated IP Multimedia Subsystem (IMS) network. The contribution of this paper is the analysis of measured data collected from real-time testbeds related to the fifth generation (5G) mobile network and then, computing the inter-Mean-Opinion-Score (iMOS) and QoS metrics for both 5G Voice over LTE (VoLTE) and Voice over New Radio (VoNR) services over IMS. Thus, there are evaluated QoS metrics throughout the communication stages among the User Equipment (UE) for the 5G Stand-Alone (SA) and 5G Non-Stand-Alone (NSA) networks. The obtained results show how QoS metrics like jitter and delay impact the iMOS results. The obtained results satisfy the requirement for VoNR and 5G VoLTE which show iMOS values greater than 4 out of 5 where 5 represents the best quality. The results were obtained in a controlled environment laboratory, using specialized radio test stations with non-interference outdoor propagation signals and lower path loss since can be used as a reference for upcoming research.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"94 4","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT and Blockchain Integration Security 物联网和区块链集成安全性

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365274

Amnah Hmoud, Ghada Ali, Rawabi Alanzi, Salim Elkhediri

引用次数: 0

Automating the Creation of Graph-Based NoSQL Databases in the Context of Big Data 在大数据背景下自动创建基于图形的 NoSQL 数据库

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365296

Fouad Elotmani, R. Esbai, Mohamed Atounti

引用次数: 0

Early Malware Characterization based on Online Social Networks 基于在线社交网络的早期恶意软件特征描述

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/CommNet60167.2023.10365252

Alireza Sadighian, Ines Abbes, Gabriele Oligeri

{"title":"Early Malware Characterization based on Online Social Networks","authors":"Alireza Sadighian, Ines Abbes, Gabriele Oligeri","doi":"10.1109/CommNet60167.2023.10365252","DOIUrl":"https://doi.org/10.1109/CommNet60167.2023.10365252","url":null,"abstract":"Online social networks (OSNs) spread information worldwide and in a fast and effective way. Given the terrific number of sources, OSNs can be used for event forecasting and its characterization. Although the vast majority of information is noise, OSNs can be a source of data for the early detection and characterization of malware spreading-this representing a significant advantage for the defense team, which can be informed much in advance of when the malware affects the system. In this paper, we propose an early malware characterization technique that combines statistical analysis with Natural Language Processing (NLP). Using this approach, we analyze various malware behaviors over time and discover their characteristics, such as target system types, target applications, vulnerabilities, locations, propagation scale, etc., in order to appropriately prevent/detect/mitigate their malicious activities and implement suitable actions effectively. We tested and evaluated our approach on a dataset collected from Twitter that includes widespread ransomware indicators. The results show that our approach is effective in early characterizing various types of malware, thus can be considered as one of the first line of defense.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"23 4","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CommNet 2023 Committees CommNet 2023 委员会

2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2023-12-11 DOI: 10.1109/commnet60167.2023.10365254

引用次数: 0