Editor's Comments

Why Only Impedances? Match the Magazine to Any Device!Francesco AndriulliYou have just opened the first magazine issue of the year, and I am sure you are thrilled to know what this new season has in store for you. A few easy steps for discovering: 1) take your mobile or your preferred tablet, 2) download the IEEE app if you have not done it already (QR code given here), 3) open from there your IEEE Antennas and Propagation Magazine issues of choice, and 4) enjoy a new and responsive reading experience that will comfortably be matched and adapt to any device. The new electronic format will also look great when opened on a computer browser. Check it out!editorial01-3228088 In this issueThere is not a better way to experience our new format on the IEEE app than by reading all of the marvelous contributions of this issue! The first feature article, by Guo et al. [A1], reviews and analyzes the use of convolutional neural networks within finite-difference time-domain (FDTD) frameworks. After a general overview of FDTD schemes, the neural network frameworks that best adapt to the computational method structure are presented, and the article terminates with a complete set of numerical results that further corroborate the article’s statements. The article by Bianco et al. [A2] focuses on LoRa links between helmet antennas and unmanned aerial vehicles (UAVs). It first reviews the relevant application cases of LoRa; it then focuses on delineating the appropriate link for UAVs, enriching the analysis with transmitter–receiver models and link evaluations. The article terminates with a set of experiments with an extensive analysis of the obtained results. The article by Zhang et al. [A3] is a comprehensive review of composite right-/left-handed transmission-line metamaterials and their application in small antenna designs. After a comprehensive bibliographic general review, the article starts focusing on the different topologies presented in the literature. Then, it analyzes the different reconfigurability strategies and finally the operational features together with the main applications. The article by Hu et al. [A4] studies the role of convolutional neural networks in uncertainty analyses. It offers a complete review of the subject and then moves to the design of a specific prediction scheme, which is validated with a rich set of numerical experiments. The article by Chakraborty and Guha [A5] analyzes the role of ground plane conduction currents on directivity patterns of dielectric resonator antennas. The contribution starts with an analysis of the problem and then turns to a comparative study where several elements of the target antenna are varied. The contribution is enriched with an experimental study that validates and further confirms the findings. The article by Li et al. [A6] presents a design approach for both metamaterials and metasurfaces, based on reusable building blocks that can be assembled and reassembled at will. It starts with a rich review on the topic and then presents a fabrication approach for the new devices, complemented with a section of different design examples. The structures are first simulated, and then an experimental campaign is run with measurement data complementing and terminating the contribution. The article by Benmahmoud et al. [A7] focuses on design strategies for antennas radiating in the vicinities of the human body. It focuses on both design steps and validation ones, where a rich plethora of relevant factors is considered and properly assessed in validation. The last, but definitely not the least, contribution is an excellent review by Dagefu et al. [A8] surveying small, low-frequency operating antennas. After a quite informative introduction, delineating past contributions and open challenges of the field, the article analyzes several families of small antennas, abundantly reviewing the specific literature in each case. It will certainly be appreciated both by readers experienced in the topic and by neophytes, who will quickly find a rich set of pointers to all relevant results in the field. Enjoy the reading!

Appendix: Related Articles

L. Guo, M. Li, S. Xu, F. Yang, and L. Liu, “Electromagnetic modeling using an FDTD-equivalent recurrent convolution neural network: Accurate computing on a deep learning framework,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 93–102, Feb. 2023, doi: 10.1109/MAP.2021.3127514.
G. M. Bianco, A. Mejia-Aguilar, and G. Marrocco, “Numerical and experimental characterization of LoRa-based helmet-to-unmanned aerial vehicle links on flat lands: A numerical-statistical approach to link modeling,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 79–92, Feb. 2023, doi: 10.1109/MAP.2022.3176590.
J. Zhang, S. Yan, and G. A. E. Vandenbosch, “Composite right/left-handed transmission line metamaterial-inspired small antenna design: Topologies, reconfigurability, and applications,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 71–78, Feb. 2023, doi: 10.1109/MAP.2022.3201194.
R. Hu, V. Monebhurrun, R. Himeno, H. Yokota, and F. Costen, “An uncertainty analysis on finite difference time-domain computations with artificial neural networks: Improving accuracy while maintaining low computational costs,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 60–70, Feb. 2023, doi: 10.1109/MAP.2022.3143428.
R. K. Chakraborty and D. Guha, “Dielectric resonator antenna-induced conduction current on the metallic ground plane: Interesting observations on its impact and usefulness,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 49–59, Feb. 2023, doi: 10.1109/MAP.2021.3127528.
H. Li et al., “Simple, low-cost, and reconfigurable metamaterials and metasurfaces based on reusable building blocks: A proposed approach,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 40–48, Feb. 2023, doi: 10.1109/MAP.2021.3110482.
F. Benmahmoud, P. Lemaitre-Auger, and S. Tedjini, “Wearable folded planar dipole antenna: Design and assessment for on-body wireless communication devices,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 27–39, Feb. 2023, doi: 10.1109/MAP.2022.3216783.
F. T. Dagefu, J. Choi, B. M. Sadler, and K. Sarabandi, “A survey of small, low-frequency antennas: Recent designs, practical challenges, and research directions,” IEEE Antennas Propag. Mag., vol. 65, no. 1, pp. 14–26, Feb. 2023, doi: 10.1109/MAP.2021.3127559.

Digital Object Identifier 10.1109/MAP.2022.322808865map01-ap265-3235098-fig
CoverHISTELCON 2023ComsolMastheadEditor's CommentsEMCoS StudioWiPL-DPresident's MessageChapter NewsA Survey of Small, Low-Frequency AntennasWearable Folded Planar Dipole AntennaSimple, Low-Cost, and Reconfigurable Metamaterials and MetasurfacesDielectric Resonator Antenna-Induced Conduction Current on the Metallic Ground PlaneAn Uncertainty Analysis on Finite Difference TimeComposite Right/Left-Handed Transmission Line Metamaterial-Inspired Small Antenna DesignNumerical and Experimental Characterization of LoRa-Based Helmet-to- UnmannedElectromagnetic Modeling Using an FDTD-Equivalent Recurrent Convolution Neural NetworkMeetings & SymposiaCoursesTurnstileWomen in EngineeringYoung ProfessionalsIndustry ActivitiesHistorically SpeakingCope CornerHidden WordAdvertising & SalesITC-EGYPT' 2023RemcomArchives