IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.002

Jasiya Fairiz Raisa , Md. Sazzadur Rahman , Imtiaz Mahmud , M. Shamim Kaiser , Dong Seog Han

引用次数: 0

A selective update sensing approach for UAV-ISAC enabled relaying network UAV-ISAC中继网络的选择性更新感知方法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.02.004

Igbafe Orikumhi , Nakyung Lee , Jungsook Bae , Sunwoo Kim

{"title":"A selective update sensing approach for UAV-ISAC enabled relaying network","authors":"Igbafe Orikumhi , Nakyung Lee , Jungsook Bae , Sunwoo Kim","doi":"10.1016/j.icte.2025.02.004","DOIUrl":"10.1016/j.icte.2025.02.004","url":null,"abstract":"<div><div>This paper proposes a selective sensing information update scheme for communication between a base station (BS) and multiple unmanned aerial vehicles (UAVs) in a relaying network. The UAVs, equipped with integrated sensing and communication (ISAC) capabilities, utilize environmental sensing measurements to facilitate communication in blockage-prone scenarios, such as disaster recovery and remote connectivity. Specifically, user parameters are estimated from the sensing measurements at the UAVs. Given the non-linear relationship between the sensing measurements and the communication parameters, we propose a two-stage design approach. In the first stage, the measurements are transformed into a range-and-angle-based model to determine the optimal beam between the UAVs and multiple mobile user equipment (UEs). In the second stage, a selective update mechanism, guided by a predictive rate criterion, is used to optimize the frequency of sensing information updates between the BS and the UAVs. Simulation results demonstrate the superiority of the proposed method and show an improvement in the system throughput compared to baseline schemes, while significantly reducing sensing overhead.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 3","pages":"Pages 481-485"},"PeriodicalIF":4.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297530","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

Joint scheduling and resource allocation based on reinforcement learning in integrated access and backhaul networks 基于强化学习的综合接入回程网络联合调度与资源分配

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.03.004

Joeun Kim , Youngil Jeon , Junhwan Lee , Moon-Sik Lee , Taesoo Kwon

引用次数: 0

Enhancing electric vehicle range through real-time failure prediction and optimization: Introduction to DHBA-FPM model with an artificial intelligence approach 通过实时故障预测和优化提高电动汽车续航里程：基于人工智能方法的DHBA-FPM模型介绍

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.03.009

Yunus Emre Ekici , Teoman Karadağ , Ozan Akdağ , Ahmet Arif Aydin , Hüseyin Ozan Tekin

{"title":"Enhancing electric vehicle range through real-time failure prediction and optimization: Introduction to DHBA-FPM model with an artificial intelligence approach","authors":"Yunus Emre Ekici , Teoman Karadağ , Ozan Akdağ , Ahmet Arif Aydin , Hüseyin Ozan Tekin","doi":"10.1016/j.icte.2025.03.009","DOIUrl":"10.1016/j.icte.2025.03.009","url":null,"abstract":"<div><div>Electrical and mechanical failures in electric vehicles (EVs) during passenger operation cause significant operational losses and elevated energy consumption, amplifying range anxiety. To address this issue, we utilized 250,000 rows of real-time data from electric trolleybuses operating in Türkiye to develop a robust artificial intelligence (AI)-based optimization model for failure mitigation. Initially, Tri layered Neural Network (TNN) was employed to create a predictive function for electrical and mechanical failures, followed by comparative analyses across six optimization algorithms widely adopted in failure prediction studies. Among these, the Developed Honey Badger Algorithm with AI Approach (DHBA) emerged as the most effective, achieving a predictive accuracy improvement of 15 % over the standard Honey Badger Algorithm (HBA). The DHBA incorporates a Dynamic Fitness-Distance Balance (DFDB) mechanism and a novel spiral motion feature to enhance search precision, leading to the DHBA-FPM (Developed-Honey Badger Algorithm - Failure Prediction Model). The final DHBA-FPM model was applied to the 10 highest-density bus routes in Türkiye to predict and optimize failures. Results indicate that applying the DHBA-FPM model across these routes yielded a 3.96 % average range increase in EVs, extending the total range by approximately 79,200 km annually. It can be concluded that the model could prevent the release of 238.7 tons/year of CO<sub>2</sub>, NO, and NO<sub>2</sub> emissions through its potential to improve both the operational efficiency and sustainability of EVs in public transit networks.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 3","pages":"Pages 547-558"},"PeriodicalIF":4.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144296817","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

Design of LDPC code for uncorrelated Rayleigh fading channel using modified outage probability 基于改进中断概率的非相关瑞利衰落信道LDPC码设计

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.03.005

Woong-Shin Kwak, Jae-Won Kim

引用次数: 0

Muloc: Multi-scale combination mask indoor localization network for WiFi based on channel state information Muloc：基于信道状态信息的WiFi多尺度组合掩模室内定位网络

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.005

Haoyang Qi , Xin Song , Yuqi Zhang , Lanfeng Li , Zhiao Cao

引用次数: 0

A comprehensive multi-agent deep reinforcement learning framework with adaptive interaction strategies for contention window optimization in IEEE 802.11 Wireless LANs 基于自适应交互策略的IEEE 802.11无线局域网竞争窗口优化综合多智能体深度强化学习框架

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.01.010

Yi-Hao Tu, Yi-Wei Ma

引用次数: 0

Deep learning-based channel prediction for TDD MIMO systems with imperfect channel reciprocity 基于深度学习的不完全信道互易TDD MIMO系统信道预测

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.04.011

Heecheol Yang

引用次数: 0

To associate or not to associate? A user-based threshold scheme for 5G and beyond networks 联系还是不联系？5G及以上网络的基于用户的阈值方案

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.03.003

Naor Zohar

{"title":"To associate or not to associate? A user-based threshold scheme for 5G and beyond networks","authors":"Naor Zohar","doi":"10.1016/j.icte.2025.03.003","DOIUrl":"10.1016/j.icte.2025.03.003","url":null,"abstract":"<div><div>Traditionally, User-cell Association (UA) schemes for cellular networks are based solely on the quality and strength of the received signal. This mechanism may not always be adequate for the complex nature of fifth generation and beyond (B5G) networks, and may lead to load biasing. Additional parameters, such as the load on the neighboring cells, the needs of the user equipment (UE), and the UE mobility should be considered as well. The realization that relying solely on the signal strength and quality for UA may violate load balancing has been recognized for a long time. However, the approach taken was to balance the load by a network-dependent mechanism. Yet, the UA mechanism remains based on the best-received signal. The underlying assumption that all the users have the same needs remains. Load-aware UA was considered only upon mobility-driven handover to small cells. This study suggests a UE-based threshold scheme for load-aware UA that is suitable for B5G networks. Since the optimal UA problem is known to be NP-hard, we suggest a heuristic mechanism, that is sufficiently simple and reliable to be implemented in practice, yet sufficiently efficient to significantly outperform the existing UA mechanism. Simulation results demonstrated that the suggested UA scheme can potentially reduce the required network bandwidth resources by up to 25%and significantly reduce the service blocking probability and the average waiting time for service.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"11 3","pages":"Pages 390-401"},"PeriodicalIF":4.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297499","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

Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method 基于区块链的KYC集成，基于稳健的m估计和IRLS方法进行CLV优化

IF 4.1 3区计算机科学

ICT Express Pub Date : 2025-06-01 DOI: 10.1016/j.icte.2025.03.006

Marischa Elveny , Mahyuddin K.M. Nasution , Fanindia Purnamasari , Tengku Siti Meriam Tengku Wook

引用次数: 0

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