IEEE Communications Letters最新文献_第10页

A Pseudo-Inverse-Based Hard Thresholding and PSO-Aided Channel Estimation for mmWave MIMO Systems 基于伪逆的硬阈值和pso辅助的毫米波MIMO系统信道估计

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-23 DOI: 10.1109/LCOMM.2025.3572984

Poornima Sriramula;L. Nirmala Devi

引用次数: 0

Performance Analysis of BEM-Based Channel Estimation for OTFS With Hardware Impairments 基于bem的OTFS信道估计性能分析

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-23 DOI: 10.1109/LCOMM.2025.3572905

Haowei Wu;Huanyu Chen;Qihao Peng;Qu Luo;Jinglan Ou

引用次数: 0

Bidirectional Block Decision Feedback Equalization for the Hybrid Carrier System 混合载波系统的双向分组决策反馈均衡

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3572182

Shiwei Zhu;Zhaopeng Du;Lin Mei

引用次数: 0

Decentralized Federated Learning for Wireless Traffic Prediction 无线流量预测的分散联邦学习

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3553678

Haochang Zhang;Sirui Huang;Xiaotian Zhou;Chuanting Zhang;Junrong Jia

引用次数: 0

Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer 优化基于ttd的宽带混合波束形成，实现高能效无线电力传输

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3553763

Abdolrasoul Sakhaei Gharagezlou;Mehdi Rasti;Mehdi Monemi;Samad Ali;Matti Latva-Aho

{"title":"Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer","authors":"Abdolrasoul Sakhaei Gharagezlou;Mehdi Rasti;Mehdi Monemi;Samad Ali;Matti Latva-Aho","doi":"10.1109/LCOMM.2025.3553763","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3553763","url":null,"abstract":"Radio frequency wireless power transfer (WPT) is a promising technology to charge low-power devices in future wireless systems. In this letter, energy-efficient WPT in wideband systems is studied, ensuring that each device meets its minimum energy harvesting (EH) requirement under both perfect and imperfect channel state information (CSI) scenarios. To this end, the digital beamformer, the true time delayers (TTDs), and the phase shifter-based analog beamformer are jointly optimized. Since the energy beamforming flexibility depends on the base station (BS) antenna’s architecture, the BS employs two hybrid beamforming architectures, sub-connected (SC) and fully-connected (FC) TTD, which charge EH devices in the near-field region. Since minimizing the transmit power is non-convex and decision variables are highly coupled, an alternating optimization algorithm based on semi-definite programming and semi-definite relaxation is proposed to solve the original problem. Furthermore, a matrix scale reduction scheme is leveraged to decrease computational complexity. Simulation results show that the SC architecture performs better than the FC architecture in both perfect and imperfect CSI scenarios. Additionally, the SC architecture decreases convergence time relative to the FC architecture by more than ten times.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1062-1066"},"PeriodicalIF":3.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937965","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

Improved Asymptotic Variance of the Associated Rician Phase Distribution 相关相位分布的改进渐近方差

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3572330

Jolyon M. De Freitas

引用次数: 0

Joint Multi-Path Equalization With Enhanced Diversity Gain Based on Path-by-Path Delay-Scale Compensation 基于逐径延迟尺度补偿的增强分集增益联合多径均衡

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3569329

Xu Kou;Yanbo Wu;Min Zhu

引用次数: 0

Assessing IQE for Full Duplex Relaying Schemes With Unidentified Modulation Forms 具有未识别调制形式的全双工中继方案IQE评估

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-21 DOI: 10.1109/LCOMM.2025.3572217

Hala Mostafa;Mohamed Marey;Khaled Mohamad Almustafa

引用次数: 0

Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function 基于evt自适应分位数损失函数的深度递归神经网络信道预测

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-20 DOI: 10.1109/LCOMM.2025.3571930

Niloofar Mehrnia;Parmida Valiahdi;Sinem Coleri;James Gross

{"title":"Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function","authors":"Niloofar Mehrnia;Parmida Valiahdi;Sinem Coleri;James Gross","doi":"10.1109/LCOMM.2025.3571930","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3571930","url":null,"abstract":"Ultra-reliable low latency communication (URLLC) systems are pivotal for applications demanding high reliability and low latency, such as autonomous vehicles. In such contexts, channel prediction becomes essential to maintaining communication quality, as it allows the system to anticipate and mitigate the effects of fast-fading channels, thereby reducing the risk of packet loss and latency spikes. This letter presents a novel framework that integrates neural networks with extreme value theory (EVT) to enhance channel prediction, focusing on predicting extreme channel events that challenge URLLC performance. We propose an EVT-based adaptive quantile loss function that integrates EVT into the loss function of the deep recurrent neural networks (DRNNs) with gated recurrent units (GRUs) to predict extreme channel conditions efficiently. The numerical results indicate that the proposed GRU model, utilizing the EVT-based adaptive quantile loss function, significantly outperforms the traditional GRU. It predicts a tail portion of 7.26%, which closely aligns with the empirical 7.49%, while the traditional GRU model only predicts 2.4%. This demonstrates the superior capability of the proposed model in capturing tail values that are critical for URLLC systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 7","pages":"1699-1703"},"PeriodicalIF":3.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007581","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604095","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

Combination for Modulation: Toward Enhancing LoRa Link Capacity 调制组合：提高LoRa链路容量

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-20 DOI: 10.1109/LCOMM.2025.3571808

Haotian Zhang;Yaping Li;Yang Luo;Guodong Sun

引用次数: 0