{"title":"MADRL-Based Joint Power Allocation and Hybrid Beamforming of mmWave NOMA Systems","authors":"Alireza Soofinezhadmoghaddam;Hamidreza Bakhshi","doi":"10.1109/LWC.2026.3664935","DOIUrl":"10.1109/LWC.2026.3664935","url":null,"abstract":"This letter addresses joint hybrid beamforming (HBF) and power allocation (PA) in millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) systems. We consider downlink transmission, with HBF at the base station (BS), and each user is equipped with a single antenna. User clustering at the BS is achieved using a K-means clustering algorithm based on channel correlation statistics. To leverage the strengths of Multi-Agent Deep Reinforcement Learning (MADRL), we develop a new MADRL-based algorithm that jointly optimizes the HBF matrix and PA for each user. Simulations verify that the proposed solution outperforms other state-of-the-art schemes in perfect and imperfect Channel State Information (CSI) cases.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1921-1925"},"PeriodicalIF":5.5,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146198531","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}
Wenqing Zhao;Ruixiang Qi;Jun Zou;Guangzu Liu;Linlin Sun;Feng Shu
{"title":"Optimization of Protection Interval for Chirp Modulation in LEO Satellite Communications","authors":"Wenqing Zhao;Ruixiang Qi;Jun Zou;Guangzu Liu;Linlin Sun;Feng Shu","doi":"10.1109/LWC.2026.3664886","DOIUrl":"10.1109/LWC.2026.3664886","url":null,"abstract":"In this letter, we investigate the optimized utilization of protection interval (PI) for chirp modulation in low-Earth orbit (LEO) satellite communications from two perspectives: symbol mapping, and symbol recovery with highly dynamic Doppler. Spectral analysis of the received signal reveals a distinct double-peak phenomenon under specific conditions. Based on this observation, a spectral-magnitude-assisted (SMA) symbol recovery and Doppler tracking (SR&DT) strategy is proposed to maximize PI efficiency and enhance robustness against timing errors. On the other hand, an index-concatenation-based symbol mapping (ICBSM) scheme is developed to address the Gray-incompatibility with non-dyadic PI, improving spectral efficiency with less detection performance loss. Simulation results validate the robustness of the proposed optimization against Doppler rate and timing errors in highly dynamic scenarios.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1866-1870"},"PeriodicalIF":5.5,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146198539","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":"Tiny-WiFo: A Lightweight Wireless Foundation Model for Channel Prediction via Multi-Component Adaptive Knowledge Distillation","authors":"Haotian Zhang, Shijian Gao, Xiang Cheng","doi":"10.1109/lwc.2026.3664439","DOIUrl":"https://doi.org/10.1109/lwc.2026.3664439","url":null,"abstract":"","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"1 1","pages":"1-1"},"PeriodicalIF":6.3,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169637","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":"Spectrum Sensing for Cognitive Radio Using Laplacian Kernel Correlator in the Presence of Laplacian Noise","authors":"Yibang Yang, Guanna Huang, Jisheng Dai, Yanzhou Zhou, Weichao Xu","doi":"10.1109/lwc.2026.3664612","DOIUrl":"https://doi.org/10.1109/lwc.2026.3664612","url":null,"abstract":"","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"43 1","pages":"1-1"},"PeriodicalIF":6.3,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169638","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":"Transformer-Based Hybrid Beamforming With Dynamic Subarray for Near-Space Airship-Borne Communications","authors":"Ruiqi Wang;Zhen Gao;Keke Ying;Ziwei Wan;Symeon Chatzinotas;Mohamed-Slim Alouini","doi":"10.1109/LWC.2026.3663228","DOIUrl":"10.1109/LWC.2026.3663228","url":null,"abstract":"This letter proposes a hybrid beamforming framework for massive multiple-input multiple-output (MIMO) in near-space airship-borne communications. To achieve high energy efficiency (EE) in energy-constraint airships, a dynamic subarray structure is introduced, where each radio frequency chain (RFC) is connected to a disjoint subset of the antennas according to channel state information (CSI). The proposed joint dynamic hybrid beamforming network (DyHBFNet) comprises three key components: 1) An analog beamforming network (ABFNet) that optimizes the analog beamforming matrices and provides auxiliary information for the antenna selection network (ASNet) design, 2) an ASNet that dynamically optimizes the connections between antennas and RFCs, and 3) a digital beamforming network (DBFNet) that optimizes digital beamforming matrices by employing a model-driven weighted minimum mean square error algorithm for improving beamforming performance and convergence speed. The proposed ABFNet, ASNet, and DBFNet are all designed based on advanced Transformer encoders. Simulation results demonstrate that the proposed framework significantly enhances spectral efficiency and EE compared to baseline schemes. Additionally, its robust performance under imperfect CSI makes it a scalable solution for practical implementations.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"15 ","pages":"1876-1880"},"PeriodicalIF":5.5,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161147","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}