IEEE Wireless Communications Letters最新文献_第6页

Cooperative Sensing in Short-Packet ISAC Systems Based on Superimposed Pilots 基于叠加导频的短包ISAC系统协同感知

IF 6.3 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-07-20 DOI: 10.1109/lwc.2026.3714781

Xi Nan, Rugui Yao, Wanying Su, Ye Fan, Xiaoya Zuo, Shady A Deraz

引用次数: 0

Erdős Goes Neural Pipeline-Based User Pairing in Wireless Communication Networks 在无线通信网络中基于神经管道的用户配对（Erdős）

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-03-02 DOI: 10.1109/LWC.2026.3669184

Sharan Mourya;Pavan Reddy;SaiDhiraj Amuru;Kiran Kumar Kuchi

{"title":"Erdős Goes Neural Pipeline-Based User Pairing in Wireless Communication Networks","authors":"Sharan Mourya;Pavan Reddy;SaiDhiraj Amuru;Kiran Kumar Kuchi","doi":"10.1109/LWC.2026.3669184","DOIUrl":"10.1109/LWC.2026.3669184","url":null,"abstract":"The next-generation Internet-of-Thing (IoT) systems require support for massive device connectivity, low latency, and high spectral efficiency. Scheduling the users on the same time-frequency resources while separating them spatially can help in realizing the aforementioned requirements. selecting users to be scheduled together while minimizing interference and maximizing throughput (known as user-pairing) is essentially an NP-hard optimization problem. Recently, deep neural networks have emerged as a solution to solve NP-hard wireless resource allocation problems in real-time. In this letter, we propose an unsupervised graph neural network (GNN) approach to efficiently solve the user pairing problem. Our proposed method utilizes the Erdős goes neural pipeline to significantly outperform other scheduling methods such as <inline-formula> <tex-math>$k$ </tex-math></inline-formula>-means and semi-orthogonal user scheduling (SUS). At 20 dB SNR, our proposed approach achieves a 49% better sum rate than <inline-formula> <tex-math>$k$ </tex-math></inline-formula>-means and a staggering 95% better sum rate than SUS while consuming minimal time and resources.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"2025-2029"},"PeriodicalIF":5.5,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350854","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

A Novel Lightweight Hybrid MLP and Quantum Neural Network Model for Bit Error Rate Prediction in NOMA-Enabled Visible Light Communication Systems 基于noma的可见光通信系统误码率预测的新型轻量级混合MLP和量子神经网络模型

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-27 DOI: 10.1109/LWC.2026.3669027

Vipul Dixit;Bhuvan Unhelkar;Abhay Bansal;Mandeep Mittal

{"title":"A Novel Lightweight Hybrid MLP and Quantum Neural Network Model for Bit Error Rate Prediction in NOMA-Enabled Visible Light Communication Systems","authors":"Vipul Dixit;Bhuvan Unhelkar;Abhay Bansal;Mandeep Mittal","doi":"10.1109/LWC.2026.3669027","DOIUrl":"10.1109/LWC.2026.3669027","url":null,"abstract":"In this letter, a lightweight hybrid Multi-Layer Perceptron-Quantum Neural Network (MLP-QNN) architecture for Bit Error Rate (BER) prediction in Non-Orthogonal Multiple Access-Visible Light Communication (NOMA-VLC) systems is proposed. The proposed approach integrates classical preprocessing with variational quantum circuits (VQC) using ZFeatureMap encoding and TwoLocal ansatz in a compact 170-parameter structure implemented through Qiskit-PyTorch framework. The quantum circuits serve as enhanced feature extractors to capture complex NOMA-VLC dynamics. Simulation results demonstrate the superiority of the hybrid quantum-classical approach, achieving R2 scores of 0.9989 and 0.9985 for far and near users, with <inline-formula> <tex-math>$1-1.5$ </tex-math></inline-formula> dB SNR gains over classical MLP, advanced classical and analytical methods at reduced computational requirements. The model achieves the high accuracy and <inline-formula> <tex-math>$approx ~0.8$ </tex-math></inline-formula> dB SNR gains under noisy simulation, confirming quantum noise robustness.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"2010-2014"},"PeriodicalIF":5.5,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319626","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

Sum-Rate Maximization for FRIS-Enabled NOMA Communications 基于fris的NOMA通信的和速率最大化

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-26 DOI: 10.1109/LWC.2026.3668382

Mohd Hamza Naim Shaikh;Kai-Kit Wong;Farshad Rostami Ghadi;Chan-Byoung Chae;Yangyang Zhang

{"title":"Sum-Rate Maximization for FRIS-Enabled NOMA Communications","authors":"Mohd Hamza Naim Shaikh;Kai-Kit Wong;Farshad Rostami Ghadi;Chan-Byoung Chae;Yangyang Zhang","doi":"10.1109/LWC.2026.3668382","DOIUrl":"10.1109/LWC.2026.3668382","url":null,"abstract":"The fluid antenna system (FAS) concept introduces shape- and position-reconfigurability, unlocking significant performance gains for future wireless networks. In this letter, we extend it to fluid reconfigurable intelligent surfaces (FRIS), where each reflecting element can reposition itself on demand within a prescribed subregion. We investigate a multi-user FRIS-assisted downlink non-orthogonal multiple access (NOMA) system and formulate a network-level sum-rate maximization problem that jointly involves user clustering, FRIS element selection, phase-shift design, and NOMA power allocation under per-user quality-of-service (QoS) constraints. The resulting mixed-integer non-linear program is computationally challenging due to its hybrid binary-continuous decision space and the spatial correlation across the FRIS surface. To address this, we adopt a two-stage design: (i) distance-based interleaved clustering that partitions the <inline-formula> <tex-math>$U$ </tex-math></inline-formula> users into <inline-formula> <tex-math>$C$ </tex-math></inline-formula> NOMA clusters scheduled in orthogonal time slots, and (ii) per-cluster FRIS-NOMA optimization. For each cluster, we first apply a cross-entropy (CE) scheme to select a high-quality FRIS element-activation mask using a lightweight multi-user cascaded channel-gain metric, and then optimize the continuous phase shifts and NOMA power coefficients for the selected mask via a grey wolf optimizer (GWO) with a penalty-augmented fitness function. Simulation results demonstrate that the proposed FRIS-NOMA framework yields substantial sum-rate gains over conventional RIS-aided NOMA/OMA benchmarks and operates close to an ideal continuous-phase FRIS upper bound across diverse propagation conditions.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1995-1999"},"PeriodicalIF":5.5,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319640","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

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks 动态无线网络中快速高效频谱分配的元强化学习

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-26 DOI: 10.1109/LWC.2026.3668310

Oluwaseyi Giwa;Tobi Ebenezer Awodumila;Muhammad Ahmed Mohsin;Ahsan Bilal;Muhammad Ali Jamshed

{"title":"Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks","authors":"Oluwaseyi Giwa;Tobi Ebenezer Awodumila;Muhammad Ahmed Mohsin;Ahsan Bilal;Muhammad Ali Jamshed","doi":"10.1109/LWC.2026.3668310","DOIUrl":"10.1109/LWC.2026.3668310","url":null,"abstract":"Efficient spectrum allocation is vital for 5G/6G networks, yet traditional deep reinforcement learning (DRL) methods suffer from high sample complexity and unsafe exploration that can disrupt network stability. To address these challenges, we propose a meta-learning framework that learns a robust initial policy capable of rapid and safe adaptation to changing wireless conditions. We implement three meta-learning architectures using model-agnostic techniques—model-agnostic meta-learning (MAML), recurrent neural network (RNN), and RNN with a self-attention mechanism—and compare them against a DRL baseline and classical heuristic approaches in a dynamic integrated access/backhaul (IAB) environment. The attention-based agent achieves a peak throughput of <inline-formula> <tex-math>$approx 49$ </tex-math></inline-formula> Mbps, reducing SINR and latency violations by over 60% relative to PPO, and attains 97% of the fairness level of the exhaustive-search upper bound. These results demonstrate that meta-learning enables data-efficient, reliable, and scalable spectrum management for next-generation wireless systems.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"2000-2004"},"PeriodicalIF":5.5,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319650","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

Frenet–Serret Frame Aided Beam Tracking for High-Mobility UAV mmWave Communications: A Geometric Approach 高机动性无人机毫米波通信的Frenet-Serret帧辅助波束跟踪：一种几何方法

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-25 DOI: 10.1109/LWC.2026.3668056

Qiumei Guo;Yuancheng Yao;Qiuyun Zhang;Hong Jiang;Fanrong Shi

{"title":"Frenet–Serret Frame Aided Beam Tracking for High-Mobility UAV mmWave Communications: A Geometric Approach","authors":"Qiumei Guo;Yuancheng Yao;Qiuyun Zhang;Hong Jiang;Fanrong Shi","doi":"10.1109/LWC.2026.3668056","DOIUrl":"10.1109/LWC.2026.3668056","url":null,"abstract":"Narrow millimeter-wave (mmWave) beams are highly susceptible to misalignment during aggressive maneuvers of high-mobility uncrewed aerial vehicles (UAVs). To address this challenge, this letter proposes a lightweight beam tracking method leveraging the Frenet-Serret (F-S) frame, a fundamental construct of differential geometry that encodes the intrinsic geometric characteristics of the UAV’s trajectory. The key innovation lies in utilizing the F-S frame as a motion-adaptive, real-time coordinate system, enabling direct mapping of instantaneous kinematic states (e.g., velocity and acceleration) to the optimal beam direction for post-initialization tracking, without relying on explicit channel estimation or historical data. Simulations demonstrate that our method outperforms LSTM-based and EKF-based approaches in typical high-mobility trajectories, reducing the beam misalignment error by over 73% on average. The method also maintains millisecond-level computational delay with less than 1% spectral efficiency loss. This work validates the proposed geometric approach as an accurate and efficient solution for beam tracking in high-mobility mmWave systems.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"2114-2118"},"PeriodicalIF":5.5,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287253","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

Pairwise Base Station Synchronization via Joint Tensor Decomposition for Networked ISAC 基于联合张量分解的网络化ISAC成对基站同步

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-25 DOI: 10.1109/LWC.2026.3667790

Lin Chen;Yifan Liang;Hongbin Li

{"title":"Pairwise Base Station Synchronization via Joint Tensor Decomposition for Networked ISAC","authors":"Lin Chen;Yifan Liang;Hongbin Li","doi":"10.1109/LWC.2026.3667790","DOIUrl":"10.1109/LWC.2026.3667790","url":null,"abstract":"This letter proposes a tensor-based framework for estimating the timing offset (TO) and carrier frequency offset (CFO) between base stations (BSs) in a networked integrated sensing and communication (ISAC) system. Unlike a recently introduced super-resolution offset estimation by matrix pencil (SOE-MP) method that compresses the received signal matrix in BS-BS links into a vector, the proposed framework employs canonical polyadic decomposition (CPD) to preserve and exploit the spatial-time-frequency structure of the data. Through CPD, our framework separates multipath channel components, enabling TO estimation that is robust against multipath delay interference, a major limitation of the SOE-MP method. The proposed CPD framework operates in a joint manner, where the CFO-related factor matrix is shared between two CPDs based on a reciprocity in BS-BS links. The framework also incorporates a Vandermonde structural constraint on the TO- and CFO-related factor matrices. These structured factors can be efficiently optimized via a correlation-based scheme. The Cramér-Rao bound for offset estimation and the uniqueness conditions for the Vandermonde structured CPDs are provided to characterize the theoretical performance limit. Simulation results demonstrate the superior estimation performance of the proposed tensor-based method compared to the conventional approach.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1990-1994"},"PeriodicalIF":5.5,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147287269","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

Pose-VAE: A Pose-Guided End-to-End Semantic Communication System With Semantic Knowledge Base 基于语义知识库的姿态导向端到端语义通信系统

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-23 DOI: 10.1109/LWC.2026.3667179

Yujing Xie;Meiyi Zhu;Biling Zhang;Caili Guo

引用次数: 0

Twin Fused Semantic Communication for Image Transmission With Equalization 基于均衡化的图像传输双融合语义通信

IF 5.5 3区计算机科学

IEEE Wireless Communications Letters Pub Date : 2026-02-23 DOI: 10.1109/LWC.2026.3667169

Yuxuan Lei;Ying Zhang

引用次数: 0

Chirp-Based Design for Robust Landing Systems 基于啁啾的鲁棒着陆系统设计