Cross-Layer Throughput Optimization in Cognitive Radio Networks with SINR Constraints by Miao Ma, Danny H. K. Tsang

“…Recently, there have been some research works in the design of cross-layer protocols for cognitive radio (CR) networks, where the Protocol Model is used to model the radio interference. …”
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Trombocitopenia con ausencia de radios. Presentación de un caso by Belkis Lázara Rodríguez Jorge, Lucía Díaz Morejón, María Santa Cruz

“…El síndrome de trombocitopenia con ausencia de radios es una rara malformación congénita caracterizada por aplasia radial bilateral con presencia de ambos pulgares y trombocitopenia. …”
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An open source code for modeling radio wave propagation in earth’s ionosphere by Alexander Green, William J. Longley, Meers M. Oppenheim, Matthew A. Young

“…We present FARR (Finite-difference time-domain ARRay), an open source, high-performance, finite-difference time-domain (FDTD) code. …”
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Finding Lensed Radio Sources with the Very Large Array Sky Survey by Michael N. Martinez, Yjan A. Gordon, Keith Bechtol, Gillian Cartwright, Peter S. Ferguson, Miranda Gorsuch

“…In this work, we present the results of a pilot study, using the Very Large Array Sky Survey (VLASS) in combination with optical data to more efficiently identify lensed radio sources. …”
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Content Analysis of Food and Beverage Advertisements on TV, Radio, and Billboards in Iran by Maryam Amini PhD, Delaram Ghodsi PhD, Mehrnoosh Shafaatdoost MSc, Mohadese Borazjani MSc, Maryam Aghayan MSc, Nastaran Shariatzadeh BSc

“…Due to these advertisements’ role in health, the present study has updated the data available on television and radio food advertisements in Iran until 2020. …”
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Comparative radio‐frequency and crosstalk analysis of carbon‐based nano‐interconnects by Manjit Kaur, Neena Gupta, Sanjeev Kumar, Balwinder Raj, Arun K. Singh

“…Abstract A comparative radio‐frequency (RF) and crosstalk analysis is performed on carbon nano‐interconnects based on an efficient π‐type equivalent single‐conductor model of bundled multiwall carbon nanotubes (MWCNTs) and stacked multilayer graphene nanoribbons (MLGNRs). …”
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Monster Radio Jet (>66 kpc) Observed in Quasar at z ∼​​​​​ 5 by Anniek J. Gloudemans, Frits Sweijen, Leah K. Morabito, Emanuele Paolo Farina, Kenneth J. Duncan, Yuichi Harikane, Huub J. A. Röttgering, Aayush Saxena, Jan-Torge Schindler

“…We present the discovery of a large extended radio jet associated with the extremely radio-loud quasar J1601+3102 at z  ∼​​​​​ 5 from subarcsecond resolution imaging at 144 MHz with the International LOFAR Telescope. …”
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Morphology of 137 Fast Radio Bursts Down to Microsecond Timescales from the First CHIME/FRB Baseband Catalog by Ketan R. Sand, Alice P. Curtin, Daniele Michilli, Victoria M. Kaspi, Emmanuel Fonseca, Kenzie Nimmo, Ziggy Pleunis, Kaitlyn Shin, Mohit Bhardwaj, Charanjot Brar, Matt Dobbs, Gwendolyn M. Eadie, B.M. Gaensler, Ronniy C. Joseph, Calvin Leung, Robert Main, Kiyoshi W. Masui, Ryan Mckinven, Ayush Pandhi, Aaron B. Pearlman, Masoud Rafiei-Ravandi, Mawson W. Sammons, Kendrick Smith, Ingrid H. Stairs

“…We present a spectro-temporal analysis of 137 fast radio bursts (FRBs) from the first CHIME/FRB baseband catalog, including 125 one-off bursts and 12 repeat bursts, down to microsecond resolution using the least-squares optimization fitting routine fitburst . …”
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Constraining Solar Emission Radius at 42 MHz During the 2024 Total Solar Eclipse Using a Student-commissioned Radio Telescope by Olivia R. Young, Timothy E. Dolch, Joseph F. Helmboldt, Christopher Mentrek, Louis P. Dartez, Michael T. Lam, Sophia V. Sosa Fiscella, Evan Bretl, Colin Joyce, Johannes Loock, Grace Meyer, Annabel Peltzer, Joseph Petullo, Parker Reed, Emerson Sigtryggsson, Benjamin Bassett, Andrew B. Hawken, Alejandro Z. Heredia, Paige Lettow, Whit Lewis, Mikayla Manna, Nicholas Mirochnikoff, Michael Zemcov

“…However, the region of emission has yet to be constrained at 35–45 MHz due to both instrumentation limitations and the rarity of astronomical events, such as total solar eclipses, which allow for direct observational approaches. In this work, we present the results from a student-led project to commission a low-frequency radio telescope array situated in the path of totality of the 2024 total solar eclipse in an effort to probe the middle corona. …”
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Automatic level control system for telephone communication channels of radio-transmitting devices by A. V. Tkacheva, A. P. Pavlov, I. E. Kashchenko

“…This article presents automatic level control system for the HF radio-transmitting devices implemented on the basis of the inexpensive of the audio codec and field-programmable gate array. …”
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Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks by Qian HE, Zhi-yong FENG, Ping ZHANG

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Model calculation of a radio communication line based on remote sensing data by Andrey T. Albuzov, Pavel E. Shakhov, Vladimir I. Filatov

“…Methods. The article presents the developed algorithms and screenshots of the implementation of the program for calculating the interference effect of the relief, taking into account the underlying surface in the radio communication interval. …”
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Prospects for the use of ferrites with high magnetic permeability and permittivity as radio-absorbing materials by V. G. Kostishin, R. M. Vergazov, S. B. Menshova, I. M. Isaev

“…The paper presents an overview of studies on the influence of the main parameters of ferrites on their ability to absorb electromagnetic radiation in the megahertz range (more than 10 dB). …”
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Radio Frequency Numerical Simulation Techniques Based on Multirate Runge-Kutta Schemes by Jorge F. Oliveira, José C. Pedro

“…Electronic circuit simulation, especially for radio frequency (RF) and microwave telecommunications, is being challenged by increasingly complex applications presenting signals of very different nature and evolving on widely separated time scales. …”
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Smart fog radio access networks for 6G:architecture and key technologies by Xian ZHANG, Xueyan CAO, Binghong LIU, Yuan AI, Chenxi LIU

“…Taking full advantage of fog radio access network (F-RAN),non-orthogonal multiple access techniques,and artificial intelligence techniques,smart fog radio access networks (S-FRAN) have been envisioned as a promising framework to fulfill the stringent requirements of 6G wireless network,such as ultra-high data rate,ultra-low latency,and ultra-large number of devices.The principles of S-RAN were firstly presented.Based on which,the key technol-ogies,research progress and standardization of S-FRAN were introduced.Finally,the challenges of S-FRAN were identified.…”
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An Underwater Wireless Sensor Network with Realistic Radio Frequency Path Loss Model by Ghaith Hattab, Mohamed El-Tarhuni, Moutaz Al-Ali, Tarek Joudeh, Nasser Qaddoumi

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An Evaluation of English-to-Yoruba Translations of some Concepts by Selected Radio News Bulletins by Samson Adeyeye Dare, Francis Yede

“…Sixty-five concepts/titles extracted from one hundred news bulletins presented by five radio stations across the Yorùbá-speaking states of Nigeria are examined. …”
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Design of Meander-Line Antennas for Radio Frequency Identification Based on Multiobjective Optimization by X. L. Travassos, A. C. Lisboa, D. A. G. Vieira

“…This paper presents optimization problem formulations to design meander-line antennas for passive UHF radio frequency identification tags based on given specifications of input impedance, frequency range, and geometric constraints. …”
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Radio frequency fingerprint data augmentation for indoor localization based on diffusion model by Haojun AI, Weike ZENG, Jingjie TAO, Jinying XU, Hanxiao CHANG

“…The radio frequency fingerprint indoor localization method ensures the accuracy by collecting a sufficient amount of fingerprints in the offline state to build a dense fingerprint database.A data augmentation method called FPDiffusion was proposed based on diffusion model to reduce the cost of fingerprint acquisition.Firstly, a temporal graph representation of the fingerprint sequence was constructed, the forward process of the diffusion model was accomplished by adding Gaussian noise, and a U-Net was utilized for the reverse process.The loss function of the network was designed according to the characteristics of radio frequency fingerprints.Finally, the computational process for generating dense fingerprints based on sparse fingerprints was presented.Experimental results demonstrate that FPDiffusion achieves 76% and 28% localization error reduction on K-nearest neighbor (KNN) and convolutional neural network (CNN) respectively, and significantly improves localization accuracy on KNN compared to Gaussian process regression (GPR) and GPR-GAN when only a small amount of labeled fingerprints is available.…”
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DRAFTS: A Deep-learning-based Radio Fast Transient Search Pipeline by Yong-Kun Zhang, Di Li, Yi Feng, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Hua-Xi Chen, Yu-Hao Zhu

“…Traditional search algorithms are often inefficient, time-consuming, and generate a high number of false positives. In this paper, we present DRAFTS , a deep-learning-based radio fast transient search pipeline. …”
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