{"title":"95 GHz Indoor Propagation Measurement and 3GPP-Compatible Channel Model for Sub-THz Indoor Short-Range Communications","authors":"Yusuke Koda;Norichika Ohmi;Hiroaki Endo;Hiroshi Harada","doi":"10.1109/JMW.2025.3562285","DOIUrl":"https://doi.org/10.1109/JMW.2025.3562285","url":null,"abstract":"This study presents a 95 GHz indoor channel measurement campaign for an ultra-wideband short-range communication scenario and proposes an intra-cluster stochastic channel generation procedure compatible with the well-known 3GPP stochastic channel model (SCM) for this use case with a larger bandwidth than 2 GHz. Recently, a 3GPP-compatible SCM for device-to-device (D2D) short-range communication in a bandwidth of 2 GHz has been developed at the 60 GHz band to provide a unified channel generation framework aligned with 3GPP-led cellular-type communications with lower bandwidth (e.g., 400 MHz typical for millimeter wave communications). This study aims to extend this framework for an upper band and larger bandwidth by defining the experimentally found large-scale parameters at 90–100 GHz while adjusting the intra-cluster subpath generation mechanism. To this end, we first conduct a wideband multipath channel measurement at 95 GHz center frequency with 4 GHz bandwidth in a simple conference room scenario as an exemplary environment of wideband short-range communication. Statistical characteristics of a complete set of large-scale parameters (LSPs) for running the 3GPP-compatible SCM are derived where LSP trends specific to D2D short-range communication scenarios in a small conference room and extendable from the recent 60 GHz measurements are observed. Moreover, we propose an unequal intra-cluster subpath generation procedure, serving as an additional adjustment for accurate channel generation for bandwidths greater than 2 GHz. Numerical evaluation reveals the feasibility of generating channel impulse responses capturing more accurate characteristics at both the large-scale level and intra-cluster level. Specifically, owing to the proposed adjustment, the statistical characteristics in the intra-cluster subpath well fit the results from our presented measurements.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"583-599"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994203","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Microwaves Information for Authors","authors":"","doi":"10.1109/JMW.2025.3561531","DOIUrl":"https://doi.org/10.1109/JMW.2025.3561531","url":null,"abstract":"","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"C3-C3"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Microwave Theory and Technology Society Publication Information","authors":"","doi":"10.1109/JMW.2025.3561527","DOIUrl":"https://doi.org/10.1109/JMW.2025.3561527","url":null,"abstract":"","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"C2-C2"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994206","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introduction to the May 2025 Issue","authors":"Peter H. Siegel","doi":"10.1109/JMW.2025.3563079","DOIUrl":"https://doi.org/10.1109/JMW.2025.3563079","url":null,"abstract":"Our May issue contains eighteen technical articles spanning magnetic resonance imaging (MRI) induced heating, implantable medical devices, human skin modelling in the microwave region, energy harvesting for electric vehicles, fully integrated THz radar circuitry implemented in silicon germanium, millimeter-wave indoor communications modelling, synthetic aperture radar imaging techniques, photonic-based multiple-input–multiple-output (MIMO) radar, a MIMO emulator, rectifiers for wireless power transfer, microwave switches, amplifiers, power combiners, and optimization techniques. We close with a general article on analyzing arbitrarily shaped waveguide discontinuities. We would also like to bring your attention to a new special issue we are targeting for release in early 2026 on Microwaves in Medicine and Biology. You will find the call for papers at the end of our Table of Contents for this May issue.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"505-517"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Microwaves Table of Contents","authors":"","doi":"10.1109/JMW.2025.3561533","DOIUrl":"https://doi.org/10.1109/JMW.2025.3561533","url":null,"abstract":"","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"C4-C4"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wantao Li;Raúl Criado;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert
{"title":"GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers","authors":"Wantao Li;Raúl Criado;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert","doi":"10.1109/JMW.2025.3560420","DOIUrl":"https://doi.org/10.1109/JMW.2025.3560420","url":null,"abstract":"This paper presents a feature selection technique based on <inline-formula><tex-math>$ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). The proposed pruning method is applied to the first hidden layer of a feed-forward real-valued time-delay neural network, commonly used for DPD purposes. In addition, this paper presents the ANN-based DPD implementation using a graphic processing unit (GPU) with compute unified device architecture (CUDA) units. Thanks to the proposed pruning strategy, it is possible to reduce the ANN complexity significantly, thereby achieving a higher data throughput with the GPU-based implementation. The trade-off among RF performance metrics, number of model parameters and throughput of the GPU implementation is evaluated considering the linearization of a high-efficiency pseudo-Doherty load modulated balanced amplifier (LMBA). The linearized PA operating at an RF frequency of 2 GHz delivers a mean output power of 40 dBm with approximately 50% power efficiency when excited with 5G new radio (NR) signals with up to 200 MHz bandwidth and an 8 dB peak-to-average power ratio (PAPR). The real-time GPU implementation of the ANN-based DPD can meet the linearity specifications with a throughput circa 1 GSa/s.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"726-738"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artem Boriskin;Massinissa Ziane;Mariem Mafamane;Shoaib Muhammad Anwar;Lars Jacob Foged;Maxim Zhadobov
{"title":"Universal Electromagnetic Reference Skin Model for APD Evaluation at 6–100 GHz","authors":"Artem Boriskin;Massinissa Ziane;Mariem Mafamane;Shoaib Muhammad Anwar;Lars Jacob Foged;Maxim Zhadobov","doi":"10.1109/JMW.2025.3564466","DOIUrl":"https://doi.org/10.1109/JMW.2025.3564466","url":null,"abstract":"The increasing use of the upper part of the microwave spectrum for wireless communications requires appropriate methods and instrumentation for user exposure assessment. In this context, the IEC TC106 is developing a new international standard for user exposure compliance testing of the next generation 5G/6G wireless devices operating above 6 GHz. As a part of this initiative, the development of a universal reference skin model (RSM) is fundamental for definition of reference data to be included in specifications for body phantom design. In this study, we systematically analyze the impact of the human body near-surface tissue structure on the electromagnetic field (EMF) reflection from the skin surface in the 6–100 GHz range. A conventional multi-layer model is used to calculate skin reflectance as a function of the tissue thickness for the range of thicknesses corresponding to that of typical human skin and near-surface body tissues at four body sites concerned by the 5G/6G wireless use-case scenarios, namely: head, torso, forearm, and palm. The dominant contribution from the epidermis/dermis (ED) layer to the skin reflectance is demonstrated for all body sites in the considered frequency range. A high variation in the reflectance of the palm skin at frequencies above 20 GHz is demonstrated and explained by the matching layer effect associated with a thick stratum corneum (SC). The dry skin model, represented by a semi-infinite homogeneous medium with complex permittivity equivalent to that of the ED tissue, is shown to be an appropriate RSM both for the experimental and numerical evaluation of the absorbed power density (APD) in the 6–100 GHz range. The reference data for the antenna loading and APD at the skin surface are provided for standard reference feeds at 10 GHz, 30 GHz, 60 GHz, and 90 GHz.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 3","pages":"543-554"},"PeriodicalIF":6.9,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10994204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiajia Shi;Yihan Zhu;Jiaqing He;Zhihuo Xu;Liu Chu;Robin Braun;Quan Shi
{"title":"Human Activity Recognition Based on Feature Fusion of Millimeter Wave Radar and Inertial Navigation","authors":"Jiajia Shi;Yihan Zhu;Jiaqing He;Zhihuo Xu;Liu Chu;Robin Braun;Quan Shi","doi":"10.1109/JMW.2025.3539957","DOIUrl":"https://doi.org/10.1109/JMW.2025.3539957","url":null,"abstract":"Human activity recognition (HAR) technology is increasingly utilized in domains such as security surveillance, nursing home monitoring, and health assessment. The integration of multi-sensor data improves recognition efficiency and the precision of behavioral analysis by offering a more comprehensive view of human activities. However, challenges arise due to the diversity of data types, dimensions, sampling rates, and environmental disturbances, which complicate feature extraction and data fusion. To address these challenges, we propose a HAR approach that fuses millimeter-wave radar and inertial navigation data using bimodal neural networks. We first design a comprehensive data acquisition framework that integrates both radar and inertial navigation systems, with a focus on ensuring time synchronization. The radar data undergoes range compression, moving target indication (MTI), short-time Fourier transforms (STFT), and wavelet transforms to reduce noise and improve quality and stability. The inertial navigation data is refined through moving average filtering and hysteresis compensation to enhance accuracy and reduce latency. Next, we introduce the Radar-Inertial Navigation Multi-modal Fusion Attention (T-C-RIMFA) model. In this model, a Convolutional Neural Network (CNN) processes the 1D inertial navigation data for feature extraction, while a channel attention mechanism prioritizes features from different convolutional kernels. Simultaneously, a Vision Transformer (ViT) interprets features from radar-derived micro-Doppler images. Experimental results demonstrate significant improvements in HAR tasks, achieving an accuracy of 0.988. This approach effectively leverages the strengths of both sensors, enhancing the accuracy and robustness of HAR systems.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 2","pages":"409-424"},"PeriodicalIF":6.9,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10916995","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Transmission-Line-Based Quasi-All-Pass Network for Phase-Shifter Design","authors":"Shih-Shen Fan;Tsu-Te Huang;Jia-Shiang Fu","doi":"10.1109/JMW.2025.3540560","DOIUrl":"https://doi.org/10.1109/JMW.2025.3540560","url":null,"abstract":"All-passnetworks (APNs) have long been used in the design of phase shifters. A transmission-line-based quasi-all-pass network (TL-based QAPN) is a series-<inline-formula><tex-math>$C$</tex-math></inline-formula>-configured second-order common-mode APN with its two inductors respectively replaced by two transmission lines. In this work, the TL-based QAPN is, for the first time, analyzed in the context of phase-shifter design. Through the analysis, the conditions for the TL-based QAPN to exhibit zero reflection and the design equations are derived. Two generic switched-network phase-shifter topologies incorporating the TL-based QAPNs are investigated. For experimental verification, a Ka/Q-band 5-bit phase shifter is designed and realized in a 90-nm CMOS technology. The design procedure for using the TL-based QAPN as a phase-shifting bit is described. The measured RMS phase and amplitude errors of the 5-bit phase shifter are less than 4<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula> and 0.3 dB, respectively, from 29.0 to 45.1 GHz, which translates into a bandwidth of 43.5%. The performance is among the best results in the literature, demonstrating the usefulness of the proposed TL-based QAPN in phase-shifter design.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 2","pages":"462-475"},"PeriodicalIF":6.9,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10910119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simultaneous Localization and Mapping (SLAM) for Room Exploration Using Ultrawideband Millimeterwave FMCW Radar","authors":"Tobias Körner;Aman Batra;Thomas Kaiser;Nils Pohl;Christian Schulz;Ilona Rolfes;Jan Barowski","doi":"10.1109/JMW.2025.3541789","DOIUrl":"https://doi.org/10.1109/JMW.2025.3541789","url":null,"abstract":"<underline>S</u>imultaneous <underline>L</u>ocalization <underline>a</u>nd <underline>M</u>apping (SLAM) of indoor scenarios is usually based on camera or lidar sensors as data sources. However, radar based room scanning offers several complementary advantages to these systems. Among other features, radar sensors are more robust to optical opacities, for example, those caused by smoke and dust in emergency scenarios or in harsh environments. Furthermore, the coherent measurement principle of radar sensors provides highly precise distance information that can be utilized to track the exact position and dimensions of the visible objects. In contrast to camera and lidar, radar applications in room exploration are up to now limited by reduced spatial, i.e. mostly angular/lateral, resolution. This is due to the comparably large wavelength of the utilized signals. This work demonstrates the capabilities of ultrawideband millimeterwave <underline>F</u>requency <underline>M</u>odulated <underline>C</u>ontinuous <underline>W</u>ave (FMCW) radar sensors operating around 80 GHz in conjunction with the <underline>S</u>ynthetic <underline>A</u>perture <underline>R</u>adar (SAR) imaging method. To allow imaging whilst moving, self-localization techniques based on sub-aperture processing are evaluated. Therefore, we demonstrate a detailed mapping procedure for room exploration applications by exploiting large absolute bandwidths of more than 20 GHz with high resolution imaging techniques on a mobile robot platform.","PeriodicalId":93296,"journal":{"name":"IEEE journal of microwaves","volume":"5 2","pages":"344-355"},"PeriodicalIF":6.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10909660","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}