IEEE Communications Letters最新文献_第7页

Semantic Communication Over Channels With Insertions, Deletions, and Substitutions 具有插入、删除和替换的通道上的语义通信

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-24 DOI: 10.1109/LCOMM.2025.3533928

Tuna Ozates;Aykut Koç

引用次数: 0

Achievable Cutoff Rates of the Additive Exponential Noise Channels 可实现的加性指数噪声信道的截止率

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-23 DOI: 10.1109/LCOMM.2025.3533262

Lazar S. Stojković;Velimir M. Ilić;Ivan B. Djordjevic

引用次数: 0

Information-Theoretic Analysis of Inverse Gamma Substitution for Lognormal Shadowing Models 对数正态阴影模型逆替换的信息论分析

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-23 DOI: 10.1109/LCOMM.2025.3533039

Rong Yang;Shuping Dang;Jia Ye;Peng Wang

引用次数: 0

Iterative Block Decision Feedback Equalization With Near-Linear Complexity for SC-FDE Systems SC-FDE系统的近线性复杂度迭代块决策反馈均衡

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-23 DOI: 10.1109/LCOMM.2025.3532952

Tianrun Qiao;Xiaojie Fang;Xuejun Sha

引用次数: 0

Feature Contrastive Transfer Learning for Few-Shot Long-Tail Sonar Image Classification 基于特征对比迁移学习的短镜头长尾声纳图像分类

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-20 DOI: 10.1109/LCOMM.2025.3532258

Zhongyu Bai;Hongli Xu;Qichuan Ding;Xiangyue Zhang

{"title":"Feature Contrastive Transfer Learning for Few-Shot Long-Tail Sonar Image Classification","authors":"Zhongyu Bai;Hongli Xu;Qichuan Ding;Xiangyue Zhang","doi":"10.1109/LCOMM.2025.3532258","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3532258","url":null,"abstract":"Sonar image classification is challenging due to the limited availability and long-tail distribution of labeled sonar samples. In this work, a Feature Contrastive Transfer Learning (FCTL) framework is proposed for few-shot long-tailed sonar image classification. The proposed framework combines transfer learning and contrastive learning to improve model performance under limited labeled data. First, a deep convolutional neural network (CNN) is pre-trained on a large-scale image dataset to learn general feature representations. Then, contrastive learning is employed to maximize the similarity between positive sample pairs and minimize the similarity between positive and negative sample pairs. Specifically, positive samples are generated through a Gaussian feature enhancement method, while the remaining samples in a batch are negative. In addition, a balanced sampling strategy is employed to optimize the unbalanced feature distribution of long-tailed samples. Experiments on two different sonar image datasets demonstrate that the FCTL framework outperforms existing methods in few-shot long-tailed sonar image classification tasks.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"562-566"},"PeriodicalIF":3.7,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611919","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

Multi-Principal Spectrum Trading Incentive for UAV-Enabled Wireless Networks 基于无人机的无线网络多主体频谱交易激励

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-16 DOI: 10.1109/LCOMM.2025.3530518

Fang Ye;Weibo Hao;Jingchao Li;Yibing Li

引用次数: 0

ST-CSFNet: Spatial-Temporal Cross Scale FNet for Radio Environment Map Forecasting ST-CSFNet：面向无线电环境图预报的时空交叉比例尺FNet

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-16 DOI: 10.1109/LCOMM.2025.3529898

Song Zha;Haiyang Xia;Jijun Huang;Peiguo Liu

引用次数: 0

Max-Min Fairness of Cooperative RSMA for Aggregated VLC/RF Systems 聚合VLC/RF系统合作RSMA的最大最小公平性

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-15 DOI: 10.1109/LCOMM.2025.3530139

Junliang Yang;Shaoshuai Gao;Yan Lu;Zhao Yang;Guofang Tu

引用次数: 0

Intelligent Decision-Making for Asynchronous Dynamic Orthogonal Networking Based on DO-QMIX Algorithm 基于DO-QMIX算法的异步动态正交网络智能决策

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-15 DOI: 10.1109/LCOMM.2025.3529531

Yibo Chen;Zhijin Zhao;Xueyi Ye;Shilian Zheng;Xiaoniu Yang

引用次数: 0

An Improved Pointing Error Model for mmWave and THz Links: Antenna and Array Design Impact 一种改进的毫米波和太赫兹链路指向误差模型：天线和阵列设计的影响

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-14 DOI: 10.1109/LCOMM.2025.3529519

Evla Safahan Ahrazoglu;Ahmet Caner Gul;Mehmet Nuri Akinci;Ibrahim Altunbas;Eylem Erdogan

{"title":"An Improved Pointing Error Model for mmWave and THz Links: Antenna and Array Design Impact","authors":"Evla Safahan Ahrazoglu;Ahmet Caner Gul;Mehmet Nuri Akinci;Ibrahim Altunbas;Eylem Erdogan","doi":"10.1109/LCOMM.2025.3529519","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3529519","url":null,"abstract":"Pointing error has a significant impact on the performance of millimeter wave (mmWave) and terahertz (THz) communications due to directional transmission. Currently existing pointing error models are lacking in capturing the mmWave/THz radiation characteristics and/or the impact of antenna design and array design. Therefore, in this letter, a simple analytical pointing error model for highly directional mmWave/THz transmission is proposed. By utilizing the Gaussian beam approximation for both the array element radiation pattern and the array factor, the presented model incorporates antenna design parameters (maximum gain and 3 dB beamwidth) and array design parameters (number of array elements, element spacing, and 3 dB beamwidth). This approximation is validated via electromagnetic simulations in CST Microwave Studio. Afterwards, the statistics of the pointing error are derived according to the Gaussian beam approximation, and it is demonstrated that the pointing error follows a special case of the negative log-Gamma distribution with the shape parameter of 2 and the scale parameter depending on antenna/array design and jitter variance. It is shown that the proposed model aligns perfectly with the simulation results. Moreover, the outage performance of an aerial communication scenario is analyzed to examine the impact of pointing errors. The results have revealed that the antenna and array design parameters are as influential as the jitter variance, and they cannot be neglected.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"532-536"},"PeriodicalIF":3.7,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611870","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