ICT Express最新文献_第6页

A filter-and-refine approach to lightweight application traffic classification 轻量级应用流量分类的过滤与提炼方法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.06.003

Ui-Jun Baek , Jee-Tae Park , Yoon-Seong Jang , Ju-Sung Kim , Yang-Seo Choi , Myung-Sup Kim

引用次数: 0

Fusion of self-attention mechanism for CSI feedback in massive MIMO systems 大规模MIMO系统中CSI反馈自注意机制的融合

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.10.010

Tingting Zhang , Youyun Xu , Changpeng Zhou

{"title":"Fusion of self-attention mechanism for CSI feedback in massive MIMO systems","authors":"Tingting Zhang , Youyun Xu , Changpeng Zhou","doi":"10.1016/j.icte.2024.10.010","DOIUrl":"10.1016/j.icte.2024.10.010","url":null,"abstract":"<div><div>In massive MIMO systems, obtaining accurate channel state information (CSI) is crucial for optimal channel coding and beamforming. However, traditional CSI feedback methods require high bandwidth and also consume a large amount of power and computing resources. To address these challenges, several compressed sensing-based techniques have been implemented in recent years. These techniques, however, are often iterative and computationally complex to implement in power-constrained user equipment. In this paper, we propose a novel fusion of the self-attention mechanism, called <em>FSAMNet</em>, to efficiently and accurately implement the CSI feedback task for massive MIMO systems. Our proposed FSAMNet adopts both the residual connections in the attention mechanism and a sequence of depth-separable convolutional layers to enhance the model’s performance and expressive ability. Specifically, we apply a multi-layer self-attention mechanism in the encoder part to achieve feature extraction and compression. In the decoder part, we use multiple convolutional layers and self-attention mechanisms to convert the embedding vector generated by the encoder back into the original image. Experimental results show that the performance of our proposed FSAMNet outperforms conventional benchmark schemes in terms of feedback network performance.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 1","pages":"Pages 124-128"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421281","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

Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0 提高人工智能制造的透明度和信任：工业4.0/5.0时代智能制造中可解释的人工智能（XAI）应用调查

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.12.001

Konstantinos Nikiforidis , Alkiviadis Kyrtsoglou , Thanasis Vafeiadis , Thanasis Kotsiopoulos , Alexandros Nizamis , Dimosthenis Ioannidis , Konstantinos Votis , Dimitrios Tzovaras , Panagiotis Sarigiannidis

引用次数: 0

Handover strategy for LEO satellite communication using graph neural network 基于图神经网络的低轨道卫星通信切换策略

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2025.01.009

Ji-Woon Lee , Byungju Lim , Ki-Hun Kim , Jong-Man Lee , Young-Seok Ha , Young-Jin Han , Young-Chai Ko

{"title":"Handover strategy for LEO satellite communication using graph neural network","authors":"Ji-Woon Lee , Byungju Lim , Ki-Hun Kim , Jong-Man Lee , Young-Seok Ha , Young-Jin Han , Young-Chai Ko","doi":"10.1016/j.icte.2025.01.009","DOIUrl":"10.1016/j.icte.2025.01.009","url":null,"abstract":"<div><div>Distributed handover (HO) strategy with low complexity can provide seamless communication in low earth orbit (LEO) satellite networks. However, it is difficult to consider load balancing in distributed HO strategy, which may results in HO failures. In this paper, we propose a graph neural network (GNN) based distributed HO strategy for LEO satellite communication to maximize sum rate by considering load balancing. We first propose target satellite selection method with GNN where each user equipment (UE) selects target satellite and requests HO to it. We then employ ACK decision policy to strictly satisfy load balancing of satellites where each satellite decides HO requests from UEs depending on its load condition. To validate the proposed GNN based HO, we use the System Tool Kit (STK) for modeling LEO satellites with 22 orbits and 72 satellites are in each orbit, and evaluate the HO process during 2400 s. From this constellation, we generate 9,600 samples by randomly deploying UEs on the ground and use them as dataset. Simulation results show that the proposed GNN based HO strategy outperforms conventional HO strategies by selecting an appropriate target satellite. We also demonstrate that load balancing is satisfied due to ACK decision policy and the scalability of proposed GNN architecture is ensured with different network sizes.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 2","pages":"Pages 239-244"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704776","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

Recurrent DQN for radio fingerprinting with constrained measurements collection 具有约束测量集的无线电指纹识别的循环DQN

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.08.001

Nicola Novello, Andrea M. Tonello

引用次数: 0

Optimizing Crystals-Dilithium implementation in 16-bit MSP430 environment utilizing hardware multiplier 利用硬件乘法器在16位MSP430环境中优化crystals - diliium实现

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.09.019

DongHyun Shin, YoungBeom Kim, Seog Chung Seo

{"title":"Optimizing Crystals-Dilithium implementation in 16-bit MSP430 environment utilizing hardware multiplier","authors":"DongHyun Shin, YoungBeom Kim, Seog Chung Seo","doi":"10.1016/j.icte.2024.09.019","DOIUrl":"10.1016/j.icte.2024.09.019","url":null,"abstract":"<div><div>Dilithium was selected as one of NIST standard Post Quantum Digital Signature algorithms and is undergoing standardization as a Module Lattice Digital Signature Algorithm (ML-DSA). However, until now research on optimization in embedded environments has primarily been conducted on ARM architectures, which are the basic benchmark targets. To prepare for future quantum secure Internet of Things environments, performance optimization on resource-constrained must be considered. Thus, in this paper, for the first time, we propose an optimized implementation of Dilithium in the 16-bit MSP430 environment, a low-resource device. We redesign the state-of-the-art optimization strategies for Dilithium to suit the MSP430 environment. By taking full advantage of MSP430’s hardware multiplier in the NTT-based polynomial multiplication, we achieve 73.0% and 80.1% of performance improvement for NTT and NTT<sup>−1</sup> compared to those in the reference implementation, which contributes about 5.5%–7.0%, 15.3%–17.5%, and 7.5%–10.0% of performance improvement compared to Dilithium’s public reference implementation for keypair generation, signing, and verification, respectively.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 1","pages":"Pages 59-65"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421204","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

Optimizing smart city planning: A deep reinforcement learning framework 优化智慧城市规划：深度强化学习框架

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.11.005

Junyoung Park, Jiwoo Baek, Yujae Song

引用次数: 0

Digital Twin-empowered intelligent computation offloading for edge computing in the era of 5G and beyond: A state-of-the-art survey 在5G及以后的时代，为边缘计算提供数字孪生支持的智能计算卸载：一项最新调查

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2025.01.002

Hoa Tran-Dang, Dong-Seong Kim

{"title":"Digital Twin-empowered intelligent computation offloading for edge computing in the era of 5G and beyond: A state-of-the-art survey","authors":"Hoa Tran-Dang, Dong-Seong Kim","doi":"10.1016/j.icte.2025.01.002","DOIUrl":"10.1016/j.icte.2025.01.002","url":null,"abstract":"<div><div>Edge computing has emerged as a promising paradigm for addressing the latency, bandwidth, and scalability challenges associated with traditional cloud-centric architectures. Computation offloading, the process of transferring computational tasks from edge devices to more powerful remote servers or cloud infrastructure, plays a crucial role in optimizing performance and resource utilization in edge computing systems. However, traditional computation offloading techniques often face limitations related to latency, network dependency, and scalability. In this survey, we explore the integration of digital twin (DT) technology into edge computing environments to empower intelligent computation offloading decisions. DTs, virtual representations of physical entities or systems that mirror their real-world counterparts, offer opportunities to enhance situational awareness, optimize resource allocation, and enable more informed decision-making at the edge. We provide a comprehensive overview of DTs empowered intelligent computation offloading, covering the fundamentals of DTs, traditional computation offloading techniques, and their limitations in edge computing. Additionally, we discuss how DTs can address these challenges and improve computation offloading strategies, along with practical applications and use cases across various domains. Finally, we identify open research challenges and opportunities for future exploration in this emerging field. Through this survey, we aim to provide researchers, practitioners, and stakeholders with insights into the potential of DTs to revolutionize computation offloading for edge computing and drive innovation in this rapidly evolving area.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 1","pages":"Pages 167-180"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421287","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

Towards accurate positioning: Directionality-enhanced fingerprinting radio map 精确定位：方向性增强的指纹无线电地图

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2024.12.004

Beomju Shin , Taehun Kim , Taikjin Lee

{"title":"Towards accurate positioning: Directionality-enhanced fingerprinting radio map","authors":"Beomju Shin , Taehun Kim , Taikjin Lee","doi":"10.1016/j.icte.2024.12.004","DOIUrl":"10.1016/j.icte.2024.12.004","url":null,"abstract":"<div><div>The most essential element of location based service is accurate user localization. Considering the existing indoor infrastructure of the internet of things and WiFi access points, along with the widespread use of smartphones by individuals, fingerprinting technology emerges as the most promising indoor navigation system in terms of cost-effectiveness, performance, and accessibility. To estimate the user's location by fingerprinting, a fingerprinting radio map must be created in advance. The radio map contains received signal strength indicator (RSSI) vectors and its collection locations. In an indoor environment, RSSI values vary greatly depending on the collection direction, even if they are received from the same location. To compensate for this feature of RSSI, this paper proposes a new fingerprinting radio map that considers directionality. Since pedestrians can move in various directions indoors, all RSSI values collected along those directions are included in the radio map. In the location estimation step, the current location is estimated by comparing the spatial RSSI sequence of the current pedestrian with the reference points in different directions that have the highest correlation. To validate the proposed method, we analyzed the user location results using the existing radio map and the proposed radio map and found that the proposed radio map improved the positioning performance.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 1","pages":"Pages 149-156"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421284","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

Deep learning-driven methods for network-based intrusion detection systems: A systematic review 基于网络的入侵检测系统的深度学习驱动方法：系统综述

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-02-01 DOI: 10.1016/j.icte.2025.01.005

Ramya Chinnasamy , Malliga Subramanian , Sathishkumar Veerappampalayam Easwaramoorthy , Jaehyuk Cho

引用次数: 0