IEEE Communications Letters最新文献_第5页

Enhancing Belief Propagation Decoding of Polar Codes: A Reinforcement Learning Approach 增强极性码的信念传播解码：一种强化学习方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-09 DOI: 10.1109/LCOMM.2025.3559466

Mohsen Moradi;Salman Habib;David G. M. Mitchell

引用次数: 0

RFFI Protocols Using Antenna Mutual Coupling and Power Amplifier Nonlinear Memory Effects 基于天线互耦和功率放大器非线性记忆效应的RFFI协议

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-08 DOI: 10.1109/LCOMM.2025.3558555

Yuepei Li;Symon K. Podilchak;Junqing Zhang;Simon L. Cotton;Tharmalingam Ratnarajah;Yuan Ding

引用次数: 0

Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy 低空经济下综合传感与通信系统的传感能力

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-08 DOI: 10.1109/LCOMM.2025.3558295

Jiahua Wan;Hong Ren;Cunhua Pan;Zhenkun Zhang;Songtao Gao;Yiming Yu;Chengzhong Wang

{"title":"Sensing Capacity for Integrated Sensing and Communication Systems in Low-Altitude Economy","authors":"Jiahua Wan;Hong Ren;Cunhua Pan;Zhenkun Zhang;Songtao Gao;Yiming Yu;Chengzhong Wang","doi":"10.1109/LCOMM.2025.3558295","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3558295","url":null,"abstract":"The burgeoning significance of the low-altitude economy (LAE) has garnered considerable interest, largely fuelled by the widespread deployment of autonomous aerial vehicles (AAVs). To tackle the challenges associated with the detection of unauthorized AAVs and the efficient scheduling of authorized AAVs, this letter introduces a novel performance metric, termed sensing capacity, for integrated sensing and communication (ISAC) systems. This metric, which quantifies the capability of a base station (BS) to detect multiple AAVs simultaneously, leverages signal-to-noise ratio (SNR) and probability of detection (PD) as key intermediate variables. Through mathematical derivations, we can derive a closed-form solution for the maximum number of AAVs that can be detected by the BS while adhering to a specific SNR constraint. An approximate solution based on PD constraints is proposed to facilitate the efficient determination of the threshold for the maximum number of detectable AAVs. To generalize the analysis, we extend our investigation to practical scenarios with closely-spaced AAVs, incorporating inter-AAV interference effects. The accuracy of this analytical approach is verified through extensive simulation results.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1240-1244"},"PeriodicalIF":3.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272691","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

Erlang Model for Multi-Type Data Flow 多类型数据流的Erlang模型

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-08 DOI: 10.1109/LCOMM.2025.3558872

Liuquan Yao;Pei Yang;Zhichao Liu;Wenyan Li;Jianghua Liu;Zhi-Ming Ma

{"title":"Erlang Model for Multi-Type Data Flow","authors":"Liuquan Yao;Pei Yang;Zhichao Liu;Wenyan Li;Jianghua Liu;Zhi-Ming Ma","doi":"10.1109/LCOMM.2025.3558872","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3558872","url":null,"abstract":"The well-known Erlang teletraffic models were estimated to guild the infrastructure construction in communication societies for stable data requirements. However, with the development of information technology, requirements for data flow have become diverse. Particularly, when multi-type data flow (MDF) is used, games, videos, calls, etc. are all requirements. Thus, there may be a constant switch between these requirements, and also multi-type requirements at the same time. Consequently, the demands of users change over time, which prevents the traditional teletraffic analysis from being applied directly to infrastructure construction for MDF. This letter proposes new probabilistic models to discuss the blocking probabilities of MDF, whose requirements depend on the time of demand duration, and analyzes the models in three states: non-tolerance, tolerance and delay, in order to meet a more general and practical data flow utilization. When the requirement random variables are co-distributed with respect to time, we prove the practicability of the Erlang Multirate Loss Model (EMLM) under MDF cases, from a mathematical perspective by discretizing time and error analysis. An algorithm of pre-allocating resources is given to guild the construction of base resources for MDF.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1265-1269"},"PeriodicalIF":3.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272778","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

Deep Learning-Enhanced Channel Prediction for XL-MIMO Systems xml - mimo系统的深度学习增强信道预测

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-08 DOI: 10.1109/LCOMM.2025.3558838

Chaoqun Cao;Ming Chen;Yusi Zhang;Yijin Pan;Yihan Cang;Zidi Zhan

引用次数: 0

Faster and Safer: Seamless Group-Based Cross-Layer Authentication and Key Agreement for 6G 更快更安全：6G无缝组跨层认证和密钥协议

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-08 DOI: 10.1109/LCOMM.2025.3558927

Yuandong Wu;Guoshun Nan;Xiaosu Xue;Huici Wu;Xiaofeng Tao

{"title":"Faster and Safer: Seamless Group-Based Cross-Layer Authentication and Key Agreement for 6G","authors":"Yuandong Wu;Guoshun Nan;Xiaosu Xue;Huici Wu;Xiaofeng Tao","doi":"10.1109/LCOMM.2025.3558927","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3558927","url":null,"abstract":"The upcoming 6G networks will support an unprecedented number of connected devices, thus greatly expanding the attack surfaces. Access authentication helps mitigate these threats, but may introduce prohibitive costs due to massive connections operating in high-frequency bands on resource-constrained devices. This motivates the proposal of SeaAKA, a novel protocol designed to achieve efficient authentication in 6G networks. The SeaAKA protocol implements seamless group-based cross-layer authentication through a novel voting mechanism that coordinates physical-layer authentication (using lightweight approaches) with upper-layer verification (employing Shamir’s secret sharing). This integration reduces computational and communication overhead during repeated authentication cycles while maintaining high accuracy. Security analysis using BAN logic confirms SeaAKA’s resilience against replay attacks along with data integrity/privacy preservation. Evaluations demonstrate SeaAKA’s superior efficiency over existing methods, reducing communication overhead from 4.244 to 0.0006 ms and computational overhead from 2,432 to 512 bits.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1270-1274"},"PeriodicalIF":3.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272692","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

IRS-NOMA Transmission in Cooperative Networks 协同网络中的IRS-NOMA传输

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-07 DOI: 10.1109/LCOMM.2025.3558252

Vahid Zibakalam;Mehrdad Ardebilipour;Bahareh Akhbari;Abolqasem Hesam

引用次数: 0

CGAN-Based Data Augmentation for Enhanced Channel Prediction in Massive MIMO Under Subway Tunnels 基于cgan的地铁隧道大规模MIMO信道预测增强数据增强

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-07 DOI: 10.1109/LCOMM.2025.3558561

Yating Wu;Yifeng Li;Rubin Liang;Guoxin Zheng;Xiaoyong Wang

{"title":"CGAN-Based Data Augmentation for Enhanced Channel Prediction in Massive MIMO Under Subway Tunnels","authors":"Yating Wu;Yifeng Li;Rubin Liang;Guoxin Zheng;Xiaoyong Wang","doi":"10.1109/LCOMM.2025.3558561","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3558561","url":null,"abstract":"Massive multiple-input multiple-output (MIMO) channel modeling poses a crucial yet challenging task for wireless communication systems under subway tunnel scenarios. Due to the high cost associated with on-site measurement campaigns, the amount of channel data is often limited and insufficient. This letter proposes a conditional generative adversarial network (cGAN)-based channel model that can learn from the limited measurement data and generate realistic samples of channel impulse response (CIR) matrices specific to given conditions. The proposed channel model provides a data augmentation approach to enhance the training of neural networks for channel prediction, overcoming the prediction performance loss caused by insufficient number of training samples. Simulation results validate that the generated data exhibits high consistency with the actual channel and accurately captures the statistical properties in both delay and spatial domains. By expanding the available training dataset effectively, it is shown that the accuracy of neural network-based channel prediction has improved significantly with the proposed channel data augmentation.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1255-1259"},"PeriodicalIF":3.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272910","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

GNSS-Independent Uplink LEO Satellite Synchronization 与gnss无关的LEO卫星上行同步

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-07 DOI: 10.1109/LCOMM.2025.3558531

Fredrik Berggren;Branislav M. Popović

引用次数: 0

Nested Grassmannian Codebooks for Quantizing MIMO Precoders on the Flag Manifold 旗形上量化MIMO预编码器的嵌套Grassmannian码本

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-04 DOI: 10.1109/LCOMM.2025.3557002

Naresh Kolla;Parth Mehta;Kumar Appaiah;Debasattam Pal

引用次数: 0