ICT Express最新文献_第3页

Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system 物联网网络中sum rate的优化：一种新型IRS-NOMA协同系统

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.003

Mukkara Prasanna Kumar , Ammar Summaq , Sunil Chinnadurai , Poongundran Selvaprabhu , Vinoth Babu Kumaravelu , Md. Abdul Latif Sarker , Dong Seog Han

{"title":"Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system","authors":"Mukkara Prasanna Kumar , Ammar Summaq , Sunil Chinnadurai , Poongundran Selvaprabhu , Vinoth Babu Kumaravelu , Md. Abdul Latif Sarker , Dong Seog Han","doi":"10.1016/j.icte.2025.04.003","DOIUrl":"10.1016/j.icte.2025.04.003","url":null,"abstract":"<div><div>Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths. When combined with Non-Orthogonal Multiple Access (NOMA), which enables multiple users to share the same frequency band, significant improvements in spectral efficiency can be achieved. However, as the number of users increases in IRS-NOMA systems, ensuring consistently high data rates for all users becomes challenging due to coverage limitations and inefficient power allocation in static network configurations, leading to performance degradation in multi-user scenarios. To address these limitations, we propose a novel IRS-NOMA cooperative system designed to optimize sum rates through an intelligent power allocation algorithm, nearby users, and IRS to assist the base station in delivering signals and expanding network coverage. The proposed system operates in two phases: during the first phase, the base station transmits signals directly to users and indirectly through the IRS. In the second phase, nearby users assist in relaying signals to enhance coverage and reliability. The proposed system adopts a cascaded channel model to accurately capture the interactions between the base station, IRS, and users. By leveraging our optimization algorithm, the proposed system ensures efficient resource allocation, achieving superior spectral efficiency and fairness among users compared to traditional models. Numerical results validate the effectiveness of the proposed system, demonstrating its potential for next-generation IoT networks.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 3","pages":"Pages 448-453"},"PeriodicalIF":4.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metaverse meets distributed machine learning: A contemporary review on the development with privacy-preserving concerns 元宇宙与分布式机器学习：对隐私保护问题发展的当代回顾

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.008

Samuel Harry Gardner , Trong-Minh Hoang , Woongsoo Na , Nhu-Ngoc Dao , Sungrae Cho

引用次数: 0

Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding 基于残基超分辨卷积神经网络的H.266 VVC内编码复杂度降低

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.010

A Dhanalakshmi , L Balaji , C Raja , Jayant Giri , Mubarak Alrashoud

{"title":"Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding","authors":"A Dhanalakshmi , L Balaji , C Raja , Jayant Giri , Mubarak Alrashoud","doi":"10.1016/j.icte.2025.04.010","DOIUrl":"10.1016/j.icte.2025.04.010","url":null,"abstract":"<div><div>Versatile Video Coding (VVC) promised to provide the same video quality as HEVC with 50 % bitrate reduction, which was introduced in 2020. Our suggested method for VVC Intra-coding is residue super-resolution convolutional neural network (RSR-CNN) utilizing downsampling and upsampling procedures. We present an effective complexity reduced VVC intra-coding scheme based on residue SR-CNN. Reducing an original video's resolution in both the vertical and horizontal directions is all that is required to execute down sampling. Increasing the video dimensions for improved visual quality, convolutional neural networks are utilized in the upsampling process to create residue super-resolution. Specifically, for every block, we train a CNN model to perform residue SR after downsampling and compressing the residue at low resolution, and then we carry out motion estimation (ME) and motion compensation (MC) to extract the residue. Using the MC prediction signal, a new residue SR-CNN is designed. Additionally, this work comprehensively examines the complexity and performance of VVC intra-coding tools and integrates them with the residue SR-CNN method. The experiments demonstrate a substantial time savings of 40 % in encoding with BDBR coding gains of 4.2 %, and 2.9 % in AI and RA configurations respectively.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 3","pages":"Pages 460-466"},"PeriodicalIF":4.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel driving lane change intent prediction model based on image data mining approach and transformer 一种基于图像数据挖掘和变压器的行车变道意图预测模型

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.01.004

Junbo He , Wei Guan , Xuanyuan Gou , Zhiqing Zhang

引用次数: 0

A comparative study of phantom sponge for monocular 3D object detection on edge devices 幻影海绵在边缘设备上单眼三维目标检测中的比较研究

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.02.006

Shaheer Siddiqui , Jinpyung Kim , Jangho Lee

引用次数: 0

A novel radio resource allocation scheme for beam-hopping 6G satellite internet network based on graph mapping and generative adversarial network 一种基于图映射和生成对抗网络的跳波束6G卫星互联网无线电资源分配新方案

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-03-11 DOI: 10.1016/j.icte.2025.03.002

Wenliang Lin , Bohan Zhu , Minwei Liu , Ke Wang , Zhongliang Deng , Yicheng Liao , Yang Liu , Zexi Huang , Heng Kang , Yishan He , Shimin Zhong

{"title":"A novel radio resource allocation scheme for beam-hopping 6G satellite internet network based on graph mapping and generative adversarial network","authors":"Wenliang Lin , Bohan Zhu , Minwei Liu , Ke Wang , Zhongliang Deng , Yicheng Liao , Yang Liu , Zexi Huang , Heng Kang , Yishan He , Shimin Zhong","doi":"10.1016/j.icte.2025.03.002","DOIUrl":"10.1016/j.icte.2025.03.002","url":null,"abstract":"<div><div>In this letter, we are the first to focus on the issue of reliable and flexible radio resource allocation (RRA) for beam-hopping (BH) in satellite internet network (SIN). The main new challenges are accurate and dynamic radio resource modeling and high-efficiency RRA in high-dynamic scenarios. Therefore, we propose a novel RRA scheme for BH-SIN based on graph mapping and generative adversarial network (GAN). In our scheme, the characteristics of radio resources are first to be converted to graphical features. Then, the former RRA schemes are modeled as one of the adversarial objects, to adaptively optimize the next best solution to the changeable scenarios and situations. The simulation results show that the proposed RRA schemes improve the throughput and quality of service by 15% and 22%.</div><div>2018 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (<span><span>http://creativecommons.org/licenses/by-nc-nd/4.0/</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 2","pages":"Pages 228-234"},"PeriodicalIF":4.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DCT/DST-based frequency modulated-OFDM 基于DCT/ dst的调频ofdm

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-03-10 DOI: 10.1016/j.icte.2025.03.001

Gosan Noh , Wooram Shin , Kyeongpyo Kim , Eunkyung Kim

引用次数: 0

TranGDeepSC: Leveraging ViT knowledge in CNN-based semantic communication system TranGDeepSC：在基于cnn的语义通信系统中利用ViT知识

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-03-08 DOI: 10.1016/j.icte.2025.02.010

Tung Son Do, Thanh Phung Truong, Quang Tuan Do, Sungrae Cho

引用次数: 0

A review on multi-fidelity hyperparameter optimization in machine learning 机器学习中多保真度超参数优化研究进展