{"title":"Quantum Optical Integrated Sensing and Communication With Homodyne BPSK Detection","authors":"Ioannis Krikidis","doi":"10.1109/LWC.2026.3654015","DOIUrl":"10.1109/LWC.2026.3654015","url":null,"abstract":"In this letter, we propose a quantum integrated sensing and communication scheme for a quantum optical link using binary phase-shift keying modulation and homodyne detection. The link operates over a phase-insensitive Gaussian channel with an unknown deterministic phase rotation, where the homodyne receiver jointly carries out symbol detection and phase estimation. We formulate a design problem that minimizes the bit-error rate subject to a Fisher information-based constraint on estimation accuracy. To solve it, we develop an iterative algorithm composed of an inner expectation-maximization loop for joint detection and estimation and an outer loop that adaptively retunes the local oscillator phase. Numerical results confirm the effectiveness of the proposed approach and demonstrate a fundamental trade-off between communication reliability and sensing accuracy.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1375-1379"},"PeriodicalIF":5.5,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962291","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}
{"title":"LC-OSTAR-IRS: Tunable Liquid Crystal Surfaces for High-Performance UWOC","authors":"Rehana Salam;Vivek Ashok Bohara","doi":"10.1109/LWC.2026.3651802","DOIUrl":"10.1109/LWC.2026.3651802","url":null,"abstract":"This letter presents a liquid-crystal-based optical simultaneously transmitting and reflecting intelligent surface (LC-OSTAR-IRS) for underwater wireless optical communication (UWOC). Unlike conventional hybrid or metasurface designs, the proposed architecture exploits the refractive-index contrast between water and tunable liquid crystals (LCs), enabling a single element to dynamically support both reflection and transmission. This provides dual region coverage while eliminating the need for separate components. We integrate LC-OSTAR-IRS with non-orthogonal multiple access (NOMA) and rate-split multiple access (RSMA) schemes, evaluating performance under realistic underwater turbulence and pointing errors. Results demonstrate that LC-OSTAR-IRS with RSMA achieves significantly higher aggregate spectral efficiency (ASE) and superior user fairness compared to hybrid OSTAR-IRS (H-OSTAR-IRS) benchmarks, particularly in geometric configurations satisfying total internal reflection (TIR) conditions.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1305-1309"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955596","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}
{"title":"Hybrid-Field Channel Estimation for XL-MIMO Systems: Dictionary-Based Sparse Signal Recovery","authors":"David William Marques Guerra;Taufik Abrão","doi":"10.1109/LWC.2026.3653381","DOIUrl":"10.1109/LWC.2026.3653381","url":null,"abstract":"Extremely large-scale multiple-input multiple-output (XL-MIMO) systems are a key technology for future wireless networks, but the large array aperture naturally creates a hybrid-field (HF) propagation regime in which far-field (FF) planar-wave and near-field (NF) spherical-wave components coexist. This letter considers the problem of HF channel estimation (CE) and introduces a unified model that superimposes FF and NF contributions according to the Rayleigh distance boundary. By exploiting the inherent sparsity of the channel in the angular and polar domains, we formulate the estimation task as a sparse recovery problem. Unlike conventional approaches that require prior knowledge of the channel sparsity level, the proposed method operates without requiring knowledge of the sparsity level <inline-formula> <tex-math>$L$ </tex-math></inline-formula> and the NF<inline-formula> <tex-math>$/$ </tex-math></inline-formula>FF ratio <inline-formula> <tex-math>$gamma $ </tex-math></inline-formula>, which are used only for synthetic channel generation in simulations. The channel estimator determines the number of paths adaptively through a residual-based stopping rule. A combined FF/NF dictionary is employed to initialize the support, and each selected atom undergoes continuous parameter refinement to mitigate grid mismatch. Simulation results demonstrate that the proposed estimator achieves accurate HF channel reconstruction under both line-of-sight (LoS) and non-line-of-sight (NLoS) conditions, offering a practical and computationally efficient solution for XL-MIMO systems.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1385-1389"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11345625","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955631","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}
{"title":"Variational Bayesian Channel Estimation for mmWave Massive MIMO-OFDM Systems","authors":"Xinhua Lu;Yingying Zhang;Linlin Mo;Hongsen Peng","doi":"10.1109/LWC.2026.3652585","DOIUrl":"10.1109/LWC.2026.3652585","url":null,"abstract":"This letter proposes a novel channel estimation algorithm for mmWave massive MIMO-OFDM systems, named linear model based variational line spectral estimation algorithm (LMVALSE). This algorithm can improve channel estimation performance by accurately estimating the angle of arrival (AoA), path delay with limited number of paths, thereby obtaining more accurate channel estimation. Specifically, the proposed method formulates the channel estimation problem as a linear model with unknown order and applies a message-passing based variational Bayesian framework for joint parameter and multi-path inference. By decoupling the complex estimation task into manageable subproblems and iteratively updating the posterior distributions, LMVALSE achieves higher accuracy and faster convergence. Simulation results demonstrate that the proposed algorithm outperforms state-of-the-art methods and exhibits robustness under varying system parameters.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1330-1334"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955600","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}
{"title":"Semantic-Driven Multi-UAV Cooperative Communication With Joint Positioning and Resource Allocation","authors":"Wanli Wen;Weiran Guo;Liang Liang;Yunjian Jia","doi":"10.1109/LWC.2026.3651641","DOIUrl":"10.1109/LWC.2026.3651641","url":null,"abstract":"Semantic communication represents a new paradigm for sixth-generation wireless networks that prioritizes meaning-centric transmission. Uncrewed aerial vehicles (UAVs) provide deployment flexibility and line-of-sight connectivity for coverage. The integration of these technologies presents challenges in the optimization of UAV deployment, radio resources, and semantic content fidelity. This letter proposes a framework for multi-UAV-enabled semantic communication that uses coordinated multipoint transmission. We formulate a problem to maximize the sum Quality of Experience (QoE) of all users by optimizing UAV positioning, cooperative beamforming, and semantic compression ratios, which results in a mixed-integer nonlinear programming problem. To solve this problem, we develop a hybrid alternating learning and optimization (HALO) algorithm. HALO decomposes the problem, using proximal policy optimization for discrete semantic compression decisions and an alternating optimization method for the continuous UAV positioning and beamforming variables. Simulation results show that the proposed framework achieves QoE improvements over benchmark methods, which validates the benefits of joint optimization in semantic-aware UAV networks.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1260-1264"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955610","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}
{"title":"Secure Federated Semantic Communication With Model Division Multiple Access Against Gradient Inversion Attacks","authors":"Wei Zhao;Qitong Pang;Yiqun Sun;Xinye Li;Baogang Li;Zhijuan Zhang","doi":"10.1109/LWC.2026.3651570","DOIUrl":"10.1109/LWC.2026.3651570","url":null,"abstract":"This letter proposes a federated semantic communication (FedSC) framework based on split learning (SL) and model division multiple access (MDMA), named FedSC-SL-M. To preserve model privacy, the model is partitioned across the participating entities into three layers, namely the tunable layer <inline-formula> <tex-math>$(P_{1})$ </tex-math></inline-formula> on the user side, the middle layer <inline-formula> <tex-math>$(P_{2})$ </tex-math></inline-formula> at the base station, and the task execution layer <inline-formula> <tex-math>$(P_{3})$ </tex-math></inline-formula> on the receiver side. At the <inline-formula> <tex-math>$P_{1}$ </tex-math></inline-formula>, a MDMA-based semantic transmission scheme is designed to exploit both shared and personalized semantic information through multi-user semantic communication, thereby enabling the reuse of shared semantic features. The system achieves maximal semantic transmission rate under constraints of semantic accuracy, transmit power, bandwidth, etc. Experimental results demonstrate that FedSC-SL-M outperforms baseline approaches in image classification tasks across varying signal-to-noise ratio (SNR) conditions and two datasets, not only significantly reducing communication rounds but also effectively resisting gradient inversion attacks (GIAs).","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1310-1314"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955606","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}
{"title":"Array Splitting and Radar Beamforming for Uplink ISAC Mode With Massive MIMO","authors":"Jinho Choi;Yun Hee Kim","doi":"10.1109/LWC.2026.3651794","DOIUrl":"10.1109/LWC.2026.3651794","url":null,"abstract":"Integrated sensing and communication (ISAC) is a key enabler for sixth generation (6G) networks, allowing spectrum and infrastructure to be shared for both communication and sensing. While downlink ISAC has been widely explored, uplink ISAC provides unique benefits, including preserved downlink throughput, flexible probing, and advanced base station processing. This letter studies uplink ISAC with massive multiple-input multiple-output, exploiting its spatial resolution and multi-user support. We formulate a joint optimization for array splitting between the receive and transmit arrays and radar beamforming, and propose a low-complexity solution to this mixed-integer problem. Simulations show the method effectively balances communication and sensing.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1295-1299"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955597","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}
{"title":"RIS-Equipped Receiver for Two-User Systems Using Surface Partitioning and ZF Beamforming","authors":"Samira Rahimian;Yindi Jing;Xinwei Yu","doi":"10.1109/LWC.2026.3652461","DOIUrl":"10.1109/LWC.2026.3652461","url":null,"abstract":"This letter studies a reconfigurable intelligent surface (RIS) equipped receiver for two-user systems, where the receiver is composed of an RIS and two antennas. The user signals incident at the RIS are first reconfigured via phase shifting before arriving at the receiver antennas. A low complexity closed-form reception design is proposed that combines partition-based beamforming at the RIS and zero-forcing (ZF) at the receiver antennas. The user achievable rate is derived through asymptotic statistical analysis and the results show the dependence of the rate on the receiver parameters. Simulation results demonstrate the performance promises of RIS and the reception design.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1335-1339"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955603","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}
{"title":"URLLC Service for Beyond Diagonal RIS-Enabled ISAC Systems: A Meta-PPO Algorithm","authors":"Mahan Osouli;Ahmad Khonsari;Sepideh Javadi;Mohammad Robat Mili;Christos Masouros;Naofal Al-Dhahir","doi":"10.1109/LWC.2026.3653078","DOIUrl":"10.1109/LWC.2026.3653078","url":null,"abstract":"This letter investigates rate-splitting multiple access (RSMA)-based short-packet downlink transmission in an integrated sensing and communication (ISAC) system under channel uncertainty. Specifically, a base station (BS) provides ultra-reliable low-latency communication (URLLC) services to multiple users with the aid of a beyond-diagonal reconfigurable intelligent surface (BD-RIS), while simultaneously detecting a target in the presence of clutter. The objective is to maximize the sum rate by jointly optimizing transmit beamforming, common rate allocation, and BD-RIS reflection beamforming. To address the optimization problem, we propose a Meta proximal policy optimization (Meta-PPO) algorithm, which is a fusion of Meta-learning techniques and the PPO algorithm. Numerical results demonstrate that the proposed BD-RIS-based model outperforms the conventional RIS scheme, while the proposed Meta-PPO algorithm achieves faster convergence and superior performance compared with other deep reinforcement learning (DRL)-based methods.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1558-1562"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955605","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}
Muhammad Qurratulain Khan;Mohammad Parvini;Philipp Schulz;Gerhard Fettweis
{"title":"Frequency-Dependent Beamforming and Beam Training for XL-MIMO With Practical TTDs","authors":"Muhammad Qurratulain Khan;Mohammad Parvini;Philipp Schulz;Gerhard Fettweis","doi":"10.1109/LWC.2026.3651742","DOIUrl":"10.1109/LWC.2026.3651742","url":null,"abstract":"The integration of extremely large (XL) antenna arrays with ultra wideband (UWB) communication is pivotal for next-generation networks. However, the multitude of candidate beams renders conventional analog phase shifters (APSs)-based training prohibitively costly, necessitating true-time delay (TTD)-based frequency-dependent beamforming. We design a codebook mapping distinct orthogonal frequency-division multiplexing (OFDM) subcarriers to unique spatial angles, enabling full angular coverage within a single OFDM symbol. To address practical TTD limitations–finite delay range and resolution–we propose a multi-stage delay-phase-precoding (MSDPP) architecture that mitigates hardware-induced distortions. Simulations demonstrate that MSDPP achieves near-optimal spectral efficiency (SE) with at least a 2dB gain over state-of-the-art designs, alongside up to 63% higher energy efficiency (EE).","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1315-1319"},"PeriodicalIF":5.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955608","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}