ICT Express最新文献_第8页

Dynamic separate resource pool algorithm for vehicle-to-infrastructure communication 车辆与基础设施通信的动态分离资源池算法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.08.002

Jicheng Yin, Shengmin Zhao, Seung-Hoon Hwang

引用次数: 0

Comparative study of deep learning techniques for DeepFake video detection 深度学习技术在DeepFake视频检测中的比较研究

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.018

Rozi Khan , Muhammad Sohail , Imran Usman , Moid Sandhu , Mohsin Raza , Muhammad Azfar Yaqub , Antonio Liotta

引用次数: 0

X-law operation for energy-efficient time-of-arrival positioning to achieve higher accuracy with lower bandwidth: A game-changer for UWB localization devices x定律操作节能到达时间定位，以更低的带宽实现更高的精度：UWB定位设备的游戏规则改变者

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.10.001

Mohammad Esmaeili-Yadaki, Hassan Khani

引用次数: 0

Reduction of peak-to-average power ratio for FBMC/OQAM signals under the general linear non-symmetrical companding transform with a Laplace distribution 在拉普拉斯分布的一般线性非对称压缩变换下降低 FBMC/OQAM 信号的峰均功率比

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.05.009

Xinyu Liu , Hongkun Zhou , Xiyun Ge , Miao Yu , Lei Liu

引用次数: 0

Selfish attack detection and response using cooperative backoff adjustment in wireless sensor networks 利用无线传感器网络中的合作后退调整检测和响应自私攻击

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.05.014

Na-Eun Park, Seo-Yi Kim, Il-Gu Lee

引用次数: 0

Cooperative transmission of UAV swarm using orthogonal time–frequency space modulation 利用正交时频空间调制实现无人机群的合作传输

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.07.002

Usman Iqbal , Yejin Lee , Sunghwan Cho , In-Ho Lee , Haejoon Jung

{"title":"Cooperative transmission of UAV swarm using orthogonal time–frequency space modulation","authors":"Usman Iqbal , Yejin Lee , Sunghwan Cho , In-Ho Lee , Haejoon Jung","doi":"10.1016/j.icte.2024.07.002","DOIUrl":"10.1016/j.icte.2024.07.002","url":null,"abstract":"<div><div>Unmanned aerial vehicles (UAVs) emerge as versatile aerial nodes capable of dynamically filling coverage gaps and enabling mission-critical communication based on their mobile nature. UAV swarms, characterized by the coordinated operation of multiple drones, are employed for a wide range of applications such as surveillance, environmental monitoring, precision farming, and autonomous delivery. While individual UAVs suffer from limited power, group transmissions of UAV swarms can enhance the data rate, reliability, and energy efficiency. However, their mobility may cause severe Doppler spread. The existing orthogonal frequency division multiplexing (OFDM) system exhibits limitations such as susceptibility to the Doppler effect in high-speed mobile environments. To address this issue, orthogonal time–frequency space (OTFS)-aided cooperative transmission (CT) for UAV swarms is considered, which can surmount the aforementioned limitations. The results show the BER improvement of the order of <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>3</mn></mrow></msup></mrow></math></span> at the SNR value of 10 dB when OTFS modulation is utilized and even better at the higher SNR values. Furthermore, the analytical framework of OTFS-based CT is presented by identifying the key design considerations on the subcarrier spacing, the number of symbols, and the number of subcarriers, which are subject to the maximum speed of the UAV and the cluster size of the UAV swarm. These results provide a significant platform for advancing research in the field of UAV-based CT, especially with the Doppler-resilient OTFS modulation.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1240-1246"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141696120","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

Toward reliability-satisfied and hop-constrained backup paths for industrial internet demands 为满足工业互联网需求而开发可靠且跳数受限的备份路径

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.07.003

Huifen Huang , Xinchang Zhang

引用次数: 0

A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators 基于图挖掘的分析COVID-19错误信息传播者Twitter社区动态的方法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.10.006

Asma Ul Hussna , Risul Islam , Md Golam Rabiul Alam , Jia Uddin , Imran Ashraf , Md Abdus Samad

引用次数: 0

Orbital angular momentum beamforming techniques for indoor multiuser optical wireless communications 用于室内多用户光无线通信的轨道角动量波束成形技术

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.07.004

Siti Hasunah Mohammad , Yeon Ho Chung , Sudhanshu Arya

{"title":"Orbital angular momentum beamforming techniques for indoor multiuser optical wireless communications","authors":"Siti Hasunah Mohammad , Yeon Ho Chung , Sudhanshu Arya","doi":"10.1016/j.icte.2024.07.004","DOIUrl":"10.1016/j.icte.2024.07.004","url":null,"abstract":"<div><div>The orthogonality characteristics of orbital angular momentum (OAM) can provide a new degree of freedom for optical wireless communication (OWC) systems. By transmitting multiple different orders of OAM states within a single beam, multiple data channels can be carried to the end users simultaneously. As the value of the OAM state increases to a higher order, the conventional single OAM state beam suffers from destructive interference due to decreasing intensity and increasing divergence angle as the beam spreads out. In this paper, we propose a novel OAM beamforming technique for an indoor multiuser OWC network using weighted impulse response, based on the sum of intensity contributions of superposed multiple OAM states carrying Laguerre-Gaussian (LG) ultraviolet (UV) beams. The proposed OAM beamforming method is shown to reduce the destructive interference at the dark region of the beam and to increase the amplitude of intensity distribution of the beamformed OAM states. Consequently, the proposed method shows better performance with increasing OAM states beamformed together in the OWC channel, compared to a conventional single OAM state LG UV beam.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1220-1225"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709492","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

Selective imitation for efficient online reinforcement learning with pre-collected data 选择性模仿对预先收集的数据进行有效的在线强化学习

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-12-01 DOI: 10.1016/j.icte.2024.09.001

Chanin Eom , Dongsu Lee , Minhae Kwon

{"title":"Selective imitation for efficient online reinforcement learning with pre-collected data","authors":"Chanin Eom , Dongsu Lee , Minhae Kwon","doi":"10.1016/j.icte.2024.09.001","DOIUrl":"10.1016/j.icte.2024.09.001","url":null,"abstract":"<div><div>Deep reinforcement learning (RL) has emerged as a promising solution for autonomous devices requiring sequential decision-making. In the online RL framework, the agent must interact with the environment to collect data, making sample efficiency the most challenging aspect. While the off-policy method in online RL partially addresses this issue by employing a replay buffer, learning speed remains slow, particularly at the beginning of training, due to the low quality of data collected with the initial policy. To overcome this challenge, we propose Reward-Adaptive Pre-collected Data RL (RAPD-RL), which leverages pre-collected data in addition to online RL. We employ two buffers: one for pre-collected data and another for online collected data. The policy is trained using both buffers to increase the <span><math><mi>Q</mi></math></span> objective and imitate the actions in the dataset. To maintain resistance to poor-quality (i.e., low-reward) data, our method selectively imitates data based on reward information, thereby enhancing sample efficiency and learning speed. Simulation results demonstrate that the proposed solution converges rapidly and achieves high performance across various dataset qualities.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 6","pages":"Pages 1308-1314"},"PeriodicalIF":4.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094082","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