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Enhancing Partial Packet Recovery in RLNC Using Homomorphic Message Authentication Codes 利用同态消息认证码增强RLNC中的部分包恢复
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-14 DOI: 10.1109/LCOMM.2025.3587820
Amin Fathi;Peyman Pahlevani
{"title":"Enhancing Partial Packet Recovery in RLNC Using Homomorphic Message Authentication Codes","authors":"Amin Fathi;Peyman Pahlevani","doi":"10.1109/LCOMM.2025.3587820","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3587820","url":null,"abstract":"Network coding enhances wireless communication by transmitting coded packets. However, transmission errors often lead to unnecessary packet discards, even when most data remains intact. Existing recovery methods address this issue but suffer from high recovery delays in noisy environments and false positives caused by checksum collisions, resulting in redundant retransmissions. This letter presents a novel method, termed Combined Recovery, which replaces traditional Cyclic Redundancy Check (CRC) codes with Homomorphic Message Authentication Codes (HMAC). By exploiting the homomorphic property of HMACs, Combined Recovery introduces a technique that enables efficient error correction with notably reduced search complexity. Simulation results across various scenarios demonstrate that Combined Recovery eliminates retransmissions and significantly reduces recovery delay, providing a robust and efficient solution for reliable communication over noisy channels.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2118-2122"},"PeriodicalIF":4.4,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073142","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
IEEE Communications Letters Publication Information IEEE通讯通讯出版信息
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3579937
{"title":"IEEE Communications Letters Publication Information","authors":"","doi":"10.1109/LCOMM.2025.3579937","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3579937","url":null,"abstract":"","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 7","pages":"i-i"},"PeriodicalIF":3.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11078456","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606163","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
Data-Interference Free and Low-Overhead Channel Estimation Framework for MIMO-OTFS System MIMO-OTFS系统无数据干扰低开销信道估计框架
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588110
Ziyang Meng;Yu Zhang;Yiqing Zhou;Jinglin Shi
{"title":"Data-Interference Free and Low-Overhead Channel Estimation Framework for MIMO-OTFS System","authors":"Ziyang Meng;Yu Zhang;Yiqing Zhou;Jinglin Shi","doi":"10.1109/LCOMM.2025.3588110","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588110","url":null,"abstract":"In MIMO-OTFS systems, accurate CSI estimation with minimal pilot overhead is crucial. While guard-interval (GI)-based pilot patterns suppress data interference, they substantially increase overhead. To overcome this, we propose an interference-free, low-overhead channel estimation framework that exploits channel sparsity. Specifically, we introduce the delay-Doppler-angle basis expansion model (DDA-BEM) to reformulate the estimation task as a compressed sensing problem. Leveraging the sparsity in the DDA domain, we design a pilot pattern that inherently avoids data interference without requiring GIs. Simulation results demonstrate a 54% reduction in pilot overhead compared to state-of-the-art methods, while maintaining comparable estimation accuracy.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2143-2147"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073305","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
Optimized Backward Pumping Design for a 6-Mode Distributed Raman Amplifier for SDM Systems SDM系统中6模分布式拉曼放大器的优化后向抽运设计
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588148
Astrid Lozada;Ricardo Olivares;Bárbara Dumas Feris;Ariel Leiva;Gabriel Saavedra;Nicolás Jara;Patricia Morales;Danilo Bórquez-Paredes
{"title":"Optimized Backward Pumping Design for a 6-Mode Distributed Raman Amplifier for SDM Systems","authors":"Astrid Lozada;Ricardo Olivares;Bárbara Dumas Feris;Ariel Leiva;Gabriel Saavedra;Nicolás Jara;Patricia Morales;Danilo Bórquez-Paredes","doi":"10.1109/LCOMM.2025.3588148","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588148","url":null,"abstract":"We present the first optimized design and characterization of a six-mode distributed Raman amplifier (6M-DRA) for next-generation optical communication systems using space-division multiplexing (SDM) based on few-mode fibers (FMF). A genetic algorithm optimizes the pumping profile to minimize gain ripple and differential modal gain (DMG). Numerical results show an average on-off gain of 9.5 dB over 70 km, gain ripple below 1 dB, DMG under 2.10 dB, effective noise figure under 1.42 dB, optical signal-to-noise ratio larger than 29.5 dB, and pump efficiency of 9.30 dB/W, demonstrating its potential as an effective amplification solution for future SDM-FMF optical networks.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2138-2142"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073378","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
Real-Time Tracking System With Partially Coupled Sources 部分耦合源实时跟踪系统
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588270
Saeid Sadeghi Vilni;Risto Wichman
{"title":"Real-Time Tracking System With Partially Coupled Sources","authors":"Saeid Sadeghi Vilni;Risto Wichman","doi":"10.1109/LCOMM.2025.3588270","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588270","url":null,"abstract":"We consider a pull-based real-time tracking system consisting of multiple partially coupled sources and a sink. The sink monitors the sources in real-time and can request an update from one source at each time instant. The sources send updates over an unreliable wireless channel. The sources are partially coupled, and updates about one source can provide partial knowledge about other sources. We study the problem of minimizing the sum of an average distortion function and a transmission cost. Since the controller is at the sink side, the controller (sink) has only partial knowledge about the source states, and thus, we model the problem as a partially observable Markov decision process (POMDP) and then cast it as a belief-MDP problem. Using the relative value iteration algorithm, we solve the problem and propose a control policy. Simulation results demonstrate the effectiveness and superiority of the proposed policy compared to two baseline policies.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2158-2162"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11078388","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073380","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
A Class Incremental Learning Method With Forward-Compatible and Covariance-Aware for Specific Emitter Identification 一种具有前向兼容和协方差感知的类增量学习方法用于特定辐射源识别
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588238
Xiaoyu Shen;Jiang Zhang;Xiaoqiang Qiao;Zhihui Shang;Min Wang;Tao Zhang
{"title":"A Class Incremental Learning Method With Forward-Compatible and Covariance-Aware for Specific Emitter Identification","authors":"Xiaoyu Shen;Jiang Zhang;Xiaoqiang Qiao;Zhihui Shang;Min Wang;Tao Zhang","doi":"10.1109/LCOMM.2025.3588238","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588238","url":null,"abstract":"Specific Emitter Identification (SEI) is essential for IoT security. Due to the continuous emergence of new communication devices in the real world, SEI needs to cope with an increasing number of transmitter categories. A trained recognition model needs to possess the capability to continuously learn new devices. This letter proposes a novel class incremental learning method based on forward compatibility and covariance awareness, named FCCA. Specifically, this letter devises a virtual signal class generation approach and an integrated loss function to expand the feature space for incremental categories while preserving valid feature representations. During the incremental phase, FCCA uses a frozen feature extractor to obtain category feature embeddings and models feature covariance relationships, helping the classifier better differentiate between categories. Experimental results on benchmark datasets demonstrate that FCCA outperforms other methods. It also demonstrates excellent performance on few-shot class incremental problems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2153-2157"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073311","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
Channel Estimation for OFDM Systems Over Doubly Selective Channels Based on CEHNet 基于CEHNet的OFDM系统双选择信道信道估计
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588114
Ruochen Wang;Biyun Ma;Jiaojiao Liu;Yuehua Ding;Zhiheng Zhou
{"title":"Channel Estimation for OFDM Systems Over Doubly Selective Channels Based on CEHNet","authors":"Ruochen Wang;Biyun Ma;Jiaojiao Liu;Yuehua Ding;Zhiheng Zhou","doi":"10.1109/LCOMM.2025.3588114","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588114","url":null,"abstract":"In dynamic scenarios, time-frequency doubly selective channels challenge accurate estimation. Deep learning-based method emerges as a promising way by leveraging temporal correlation and local time-frequency features characterized by wireless channels. To enhance adaptability in dynamic channels with fewer pilots, this letter proposes a novel channel estimation algorithm based on a channel-enhanced deep Horblock network (CEHNet), where the Horblock structure is integrated into the super-resolution convolutional neural network (SRCNN) to capture long-range dependencies effectively. Additionally, the autocorrelation of the channel state information (CSI) matrix, derived from pilot signals, is fed into CEHNet in parallel, thereby emphasizing multipath delay and Doppler frequency shift information therein. Furthermore, the incorporation of Lasso regression accelerates network convergence. Experimental results demonstrate that the proposed algorithm outperforms baseline methods in various scenarios, achieving superior performance with fewer epochs, particularly when pilots are sparse or missing.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2148-2152"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073188","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
Learning-Based Two-Way Communications: Algorithmic Framework and Comparative Analysis 基于学习的双向通信：算法框架与比较分析
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-11 DOI: 10.1109/LCOMM.2025.3588133
David R. Nickel;Anindya Bijoy Das;David J. Love;Christopher G. Brinton
{"title":"Learning-Based Two-Way Communications: Algorithmic Framework and Comparative Analysis","authors":"David R. Nickel;Anindya Bijoy Das;David J. Love;Christopher G. Brinton","doi":"10.1109/LCOMM.2025.3588133","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588133","url":null,"abstract":"Machine learning (ML)-based feedback channel coding has garnered significant research interest in the past few years. However, there has been limited research exploring ML approaches in the so-called “two-way” setting where two users jointly encode messages and feedback over a shared channel. In this work, we present a general architecture for ML-based two-way feedback coding, and show how several popular one-way schemes can be converted to the two-way setting through our algorithmic framework. We compare such schemes against one-way counterparts, revealing error-rate benefits of ML-based two-way coding in certain signal-to-noise ratio (SNR) regimes. We then analyze the tradeoffs between error performance and computational overhead for three state-of-the-art neural network coding models instantiated in the two-way paradigm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2133-2137"},"PeriodicalIF":4.4,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073285","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
PHY-Layer Authentication Exploiting Spatial Channel and Radiometric Signatures for mmWave MIMO Systems 利用空间信道和辐射特征的毫米波MIMO系统物理层认证
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-10 DOI: 10.1109/LCOMM.2025.3587066
Mu Niu;Pinchang Zhang;Ji He;Yuanyu Zhang;Zhiquan Liu
{"title":"PHY-Layer Authentication Exploiting Spatial Channel and Radiometric Signatures for mmWave MIMO Systems","authors":"Mu Niu;Pinchang Zhang;Ji He;Yuanyu Zhang;Zhiquan Liu","doi":"10.1109/LCOMM.2025.3587066","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3587066","url":null,"abstract":"This letter presents a robust physical-layer (PHY-layer) authentication framework for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems by jointly exploiting spatial channel features and hardware-induced impairments. A CANDECOMP/PARAFAC (CP) tensor decomposition is employed to extract path, angle, and array error features, which are individually classified via binary hypothesis testing. The final decision is obtained through weighted fusion. Closed-form expressions for false alarm and detection probabilities are derived, and simulations confirm the method’s high accuracy and robustness under various spoofing attacks.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2108-2112"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100361","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
An Efficient Method to Estimate the Embedded Element Efficiency: A Key Parameter in Large-Scale Array Communications 一种有效的估算嵌入元件效率的方法：大规模阵列通信中的一个关键参数
IF 4.4 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-07-10 DOI: 10.1109/LCOMM.2025.3588004
Yongxi Liu;Ming Zhang;Xiaoming Chen;Anxue Zhang
{"title":"An Efficient Method to Estimate the Embedded Element Efficiency: A Key Parameter in Large-Scale Array Communications","authors":"Yongxi Liu;Ming Zhang;Xiaoming Chen;Anxue Zhang","doi":"10.1109/LCOMM.2025.3588004","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3588004","url":null,"abstract":"The embedded element efficiency (EEE), which quantifies mutual coupling in antenna arrays, critically limits the signal-to-noise ratio in large-scale array communications. However, calculating the EEE for finite arrays remains challenging. Existing methods are either computationally expensive or fail to account for edge effects in finite arrays. In this letter, an efficient method to estimate the EEE for finite arrays is proposed. We first derive the impedance matrix of an array from the pattern overlap matrix, then compute the generalized scattering parameters for a given source network. Consequently, the EEE of each element can be determined. Compared with traditional approaches, this method captures the EEE variations across different elements while maintaining high computational efficiency, and is applicable to arrays with arbitrary geometries. Channel capacity is evaluated to illustrate the impact of EEE on multiple-input multiple-output (MIMO) systems.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2123-2127"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073284","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
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