Relevant bibliographies by topics / 5G electromagnetic field

Academic literature on the topic '5G electromagnetic field'

Author: Grafiati
Published: 15 June 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic '5G electromagnetic field.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Journal articles on the topic "5G electromagnetic field":

1

Perov, Sergey Yu, and Olga V. Belaya. "Electromagnetic environment created by mobile communication base stations in the 5G pilot area." Hygiene and sanitation 102, no. 6 (July 28, 2023): 538–43. http://dx.doi.org/10.47470/0016-9900-2023-102-6-538-543.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Introduction. In the context of 5G system integration for general public, the change of electromagnetic field background is expected. The electromagnetic field background will change in spectral composition, spatial and temporal distribution, which affects the methodological approaches of instrumental control and hygienic assessment. Materials and methods. In the 5G pilot area the frequency-selective, code-selective and broadband measurements were carried out for the actual and possible electromagnetic field assessment from GSM, UMTS, LTE and 5G/IMT-2020 base station at several points. Results. The research results have shown that the actual electromagnetic levels did not exceed 1.5 μW/cm2, the main part of actual (measured) level includes GSM and LTE base stations (1800 MHz). At some points, the main part of maximum possible electromagnetic field exposure did not exceed 8.5 μW/cm2 and created by the 5G/IMT-2020 traffic transmission beam from base station to the subscriber terminal. Limitations. The limitation of study is determined by the measurement conditions of 5G/IMT-2020 test operation modes in the pilot area, it is difficult to assess the actual EMF exposure from commercial networks user service. Conclusion. In the intensive progress of mobile communication, the frequency- and code-selective measuring instruments are necessary to improve approaches for instrumental control and evaluation for electromagnetic fields from various mobile communication, especially for 5G assessment.
2

Deprez, Kenneth, Loek Colussi, Erdal Korkmaz, Sam Aerts, Derek Land, Stephan Littel, Leen Verloock, David Plets, Wout Joseph, and John Bolte. "Comparison of Low-Cost 5G Electromagnetic Field Sensors." Sensors 23, no. 6 (March 21, 2023): 3312. http://dx.doi.org/10.3390/s23063312.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
This paper compares different low-cost sensors that can measure (5G) RF-EMF exposure. The sensors are either commercially available (off-the-shelf Software Defined Radio (SDR) Adalm Pluto) or constructed by a research institution (i.e., imec-WAVES, Ghent University and Smart Sensor Systems research group (S³R), The Hague University of Applied Sciences). Both in-lab (GTEM cell) and in-situ measurements have been performed for this comparison. The in-lab measurements tested the linearity and sensitivity, which can then be used to calibrate the sensors. The in-situ testing confirmed that the low-cost hardware sensors and SDR can be used to assess the RF-EMF radiation. The variability between the sensors was 1.78 dB on average, with a maximum deviation of 5.26 dB. Values between 0.09 V/m and 2.44 V/m were obtained at a distance of about 50 m from the base station. These devices can be used to provide the general public and governments with temporal and spatial 5G electromagnetic field values.
3

Kim, Seungmo, and Imtiaz Nasim. "Human Electromagnetic Field Exposure in 5G at 28 GHz." IEEE Consumer Electronics Magazine 9, no. 6 (November 1, 2020): 41–48. http://dx.doi.org/10.1109/mce.2019.2956223.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Perov, Sergey Yu, Olga V. Belaya, Quirino Balzano, and Nina B. Rubtsova. "The problems of mobile communication electromagnetic field exposure assessment today and tomorrow." Russian Journal of Occupational Health and Industrial Ecology 60, no. 9 (October 7, 2020): 597–99. http://dx.doi.org/10.31089/1026-9428-2020-60-9-597-599.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
New and necessary improvements of electromagnetic exposure assessment principles and methods are considered and presented. The electromagnetic field exposure assessment is the physical basis for hygienic and biological research and needs s to consider the new technological features of emerging 5G mobile systems in addition to existing 2-4G systems. The new generation of telecommunication networks will cause significantly novel electromagnetic field exposure, in particular for time-frequency and spatial parameters. A complex exposure assessment based on refined broadband measurements seems to be the proper and necessary approach to the enhancement of Russian EMF assessment guidelines. Simple broadband EMF measurements are the common approach for present exposure assessment and cannot be used any longer as the only measure for multiple 5G sources exposure evaluation. Then again broadband measurements are the simple and practical approach for mm wave in-situ exposure assessment. Frequency-selective and code-selective measurements provide detailed EMF level distribution in separate frequency channels, telecommunication services or sources and are a promising approach for objective exposure assessment.
5

Frank, John William. "Electromagnetic fields, 5G and health: what about the precautionary principle?" Journal of Epidemiology and Community Health 75, no. 6 (January 19, 2021): 562–66. http://dx.doi.org/10.1136/jech-2019-213595.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
New fifth generation (5G) telecommunications systems, now being rolled out globally, have become the subject of a fierce controversy. Some health protection agencies and their scientific advisory committees have concluded that there is no conclusive scientific evidence of harm. Several recent reviews by independent scientists, however, suggest that there is significant uncertainty on this question, with rapidly emerging evidence of potentially harmful biological effects from radio frequency electromagnetic field (RF-EMF) exposures, at the levels 5G roll-out will entail. This essay identifies four relevant sources of scientific uncertainty and concern: (1) lack of clarity about precisely what technology is included in 5G; (2) a rapidly accumulating body of laboratory studies documenting disruptive in vitro and in vivo effects of RF-EMFs—but one with many gaps in it; (3) an almost total lack (as yet) of high-quality epidemiological studies of adverse human health effects from 5G EMF exposure specifically, but rapidly emerging epidemiological evidence of such effects from past generations of RF-EMF exposure; (4) persistent allegations that some national telecommunications regulatory authorities do not base their RF-EMF safety policies on the latest science, related to unmanaged conflicts of interest. The author, an experienced epidemiologist, concludes that one cannot dismiss the growing health concerns about RF-EMFs, especially in an era when higher population levels of exposure are occurring widely, due to the spatially dense transmitters which 5G systems require. Based on the precautionary principle, the author echoes the calls of others for a moratorium on the further roll-out of 5G systems globally, pending more conclusive research on their safety.
6

Mallik, Mohammed, Angesom Ataklity Tesfay, Benjamin Allaert, Redha Kassi, Esteban Egea-Lopez, Jose-Maria Molina-Garcia-Pardo, Joe Wiart, Davy P. Gaillot, and Laurent Clavier. "Towards Outdoor Electromagnetic Field Exposure Mapping Generation Using Conditional GANs." Sensors 22, no. 24 (December 9, 2022): 9643. http://dx.doi.org/10.3390/s22249643.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
With the ongoing fifth-generation cellular network (5G) deployment, electromagnetic field exposure has become a critical concern. However, measurements are scarce, and accurate electromagnetic field reconstruction in a geographic region remains challenging. This work proposes a conditional generative adversarial network to address this issue. The main objective is to reconstruct the electromagnetic field exposure map accurately according to the environment’s topology from a few sensors located in an outdoor urban environment. The model is trained to learn and estimate the propagation characteristics of the electromagnetic field according to the topology of a given environment. In addition, the conditional generative adversarial network-based electromagnetic field mapping is compared with simple kriging. Results show that the proposed method produces accurate estimates and is a promising solution for exposure map reconstruction.
7

Franci, Daniele, Stefano Coltellacci, Enrico Grillo, Settimio Pavoncello, Tommaso Aureli, Rossana Cintoli, and Marco Donald Migliore. "Experimental Procedure for Fifth Generation (5G) Electromagnetic Field (EMF) Measurement and Maximum Power Extrapolation for Human Exposure Assessment." Environments 7, no. 3 (March 17, 2020): 22. http://dx.doi.org/10.3390/environments7030022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The fifth generation (5G) technology has been conceived to cover multiple usage scenarios from enhanced mobile broadband to ultra-reliable low-latency communications (URLLC) to massive machine type communications. However, the implementation of this new technology is causing increasing concern over the possible impact on health and safety arising from exposure to electromagnetic field radiated by 5G systems, making imperative the development of accurate electromagnetic field (EMF) measurement techniques and protocols. Measurement techniques used to assess the compliance with EMF exposure limits are object to international regulation. The basic principle of the assessment is to measure the power received from a constant radio frequency source, typically a pilot signal, and to apply a proper extrapolation factor. This kind of approach is standardized for 2G, 3G, and 4G technologies, but is still under investigation for 5G technology. Indeed, the use of flexible numerologies and advanced Time Division Duplexing (TDD) and spatial multiplexing techniques, such as beam sweeping and Massive Multiple Input Multiple Output (MIMO), requires the definition of new procedures and protocols for EMF measurement of 5G signals. In this paper a procedure for an accurate estimation of the instant maximum power received from a 5G source is proposed. The extrapolation technique is based on the introduction of proper factors that take into account the effect of the TDD and of the sweep beam in the measured value of the 5G signal level. Preliminary experimental investigation, based on code domain measurement of appropriate broadcast channels, and carried out in a controlled environment are reported, confirming the effectiveness of the proposed approach.
8

Akdoğan, Hilmi, Vasil Tabatadze, Kamil Karaçuha, and Ercan Yaldiz. "Several case studies on electric field distributions for two human bodies inside the car at 3.5 GHz–5G frequency band." International Journal of Applied Electromagnetics and Mechanics 67, no. 4 (December 9, 2021): 507–20. http://dx.doi.org/10.3233/jae-210035.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
The study investigates basically, the electric field distribution in a semi-closed region. Specifically, the present work focuses on the electromagnetic wave diffraction at 3.5 GHz in the vicinity of a car where two humans are located inside. The car is modeled as the perfect electric conducting object whereas the human bodies are assumed to be homogeneous lossy dielectrics. To obtain field distributions for different sceneries, the Method of Auxiliary Sources (MAS) is employed. To achieve this goal, the auxiliary sources due to each obstacle are distributed over the corresponding surface element. In the present study, two main different scenarios are considered. One or two cellphones as the source of electromagnetic waves are considered. These cellphones are operating at the proposed 5G frequency band in the European Zone. In this frequency range, the resonances are observed at 3.5 GHz which is in the range of a planned 5G communication frequency band. The present study aims to obtain quantitative and qualitative results for a better understanding of 5G healthy issues. Therefore, as a frontier study, the specific absorption rate (SAR) values are examined for the first time to answer some important questions related to 5G. For such a scenario, MAS is a very efficient, fast, and trustworthy approach to obtain field distribution at semi-closed regions.
9

Nascimento, Luiz F. C., Galdenoro Botura Jr., and Rogério P. Mota. "Glucose consume and growth of E. coli under electromagnetic field." Revista do Instituto de Medicina Tropical de São Paulo 45, no. 2 (April 2003): 65–67. http://dx.doi.org/10.1590/s0036-46652003000200002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
E. coli was submitted to a 5G electromagnetic field generated by a alternate 60 Hz voltage source. The differences on growth and glucose consume in control and exposed groups were evaluated using the non-parametric Mann-Whitney U-test. There was a significant difference in glucose consume and growth in E. coli after 8 hours of exposition to electromagnetic field. It can be concluded that electromagnetic field had a positive effect in consume of glucose and growth of E. coli. The cause of these results can be explained by an increasing of glucose entrance through membrane due to the stimulated transport system via Facility Diffusion or cyclotron resonance. The growth can be caused by shortening of lag phase and excitement of log phase.
10

Ahmed Salem, Mohammed, Heng Siong Lim, Ming Yam Chua, Khaled Abdulaziz Alaghbari, Charilaos Zarakovitis, and Su Fong Chien. "Assessing electromagnetic field exposure levels in multi-active reconfigurable intelligent surface assisted 5G network." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 4 (August 1, 2024): 4110. http://dx.doi.org/10.11591/ijece.v14i4.pp4110-4119.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
As 5G mobile networks continue to proliferate in dense urban environments, it becomes increasingly important to understand and mitigate excessive electromagnetic field (EMF) exposure. This study investigates how the downlink EMF exposure levels of 5G millimeter wave (mm-wave) mobile networks are influenced by the integration of multi-active reconfigurable intelligent surfaces (RISs), using a ray-tracing approach. Our research employs a comprehensive two-step methodology: Firstly, we introduce a new RIS-assisted 5G mm-wave network planning technique. This technique leverages a machine learning (ML) approach for the classification of multi-RIS clusters. The primary goal is to optimize coverage while minimizing the number of required RIS deployments. This is achieved by strategically placing RISs based on the ML classification, ultimately aiming to enhance network efficiency. Secondly, we conducted a thorough comparative analysis, evaluating the impact of both passive and active RISs on EMF exposure level throughout a dense urban environment. Passive RIS and active RIS differ in their adaptability to changing network conditions. The result shows that the influence of multi-active RISs on EMF exposure is significant (about 7.5 times higher) compared to passive RISs.
More sources
You might also be interested in the extended bibliographies on the topic '5G electromagnetic field' for particular source types:
Journal articles

Dissertations / Theses on the topic "5G electromagnetic field":

1

Furqan, Muhammad. "Predictive analysis for electromagnetic radiations generated by 5G radio frequencies." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212980/1/Muhammad_Furqan_Thesis.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Radiofrequency electromagnetic spectrum consists of non-ionizing radiations in the frequency range of 3kHz-300GHz. The 5th generation is planned to use much higher frequencies to accommodate the exponential increase in the demand of data traffic. The research thesis performs predictive analyses of radiations that will be emitted by 5G for different frequencies allocated for its utilization and their compliance with existing radiation limitation standards. Numerical results show that the radiations to be generated through 5G new radio to be marginal contributor and acceptable according to the limits set by national and international organizations.
2

Mallik, Mohammed Tariqul Hassan. "Electromagnetic Field Exposure Reconstruction by Artificial Intelligence." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDENGSYS/2023/2023ULILN052.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Le sujet de l'exposition aux champs électromagnétiques a fait l'objetd'une grande attention à la lumière du déploiement actuel du réseaucellulaire de cinquième génération (5G). Malgré cela, il reste difficilede reconstituer avec précision le champ électromagnétique dans unerégion donnée, faute de données suffisantes. Les mesures in situ sontd'un grand intérêt, mais leur viabilité est limitée, ce qui renddifficile la compréhension complète de la dynamique du champ. Malgré legrand intérêt des mesures localisées, il existe encore des régions nontestées qui les empêchent de fournir une carte d'exposition complète. Larecherche a exploré des stratégies de reconstruction à partird'observations provenant de certains sites localisés ou de capteursdistribués dans l'espace, en utilisant des techniques basées sur lagéostatistique et les processus gaussiens. En particulier, desinitiatives récentes se sont concentrées sur l'utilisation del'apprentissage automatique et de l'intelligence artificielle à cettefin. Pour surmonter ces problèmes, ce travail propose de nouvellesméthodologies pour reconstruire les cartes d'exposition aux CEM dans unezone urbaine spécifique en France. L'objectif principal est dereconstruire des cartes d'exposition aux ondes électromagnétiques àpartir de données provenant de capteurs répartis dans l'espace. Nousavons proposé deux méthodologies basées sur l'apprentissage automatiquepour estimer l'exposition aux ondes électromagnétiques. Pour la premièreméthode, le problème de reconstruction de l'exposition est défini commeune tâche de traduction d'image à image. Tout d'abord, les données ducapteur sont converties en une image et l'image de référencecorrespondante est générée à l'aide d'un simulateur basé sur le tracédes rayons. Nous avons proposé un réseau adversarial cGAN conditionnépar la topologie de l'environnement pour estimer les cartes d'expositionà l'aide de ces images. Le modèle est entraîné sur des images de cartesde capteurs tandis qu'un environnement est donné comme entréeconditionnelle au modèle cGAN. En outre, la cartographie du champélectromagnétique basée sur le Generative Adversarial Network estcomparée au simple Krigeage. Les résultats montrent que la méthodeproposée produit des estimations précises et constitue une solutionprometteuse pour la reconstruction des cartes d'exposition. Cependant,la production de données de référence est une tâche complexe car elleimplique la prise en compte du nombre de stations de base actives dedifférentes technologies et opérateurs, dont la configuration du réseauest inconnue, par exemple les puissances et les faisceaux utilisés parles stations de base. En outre, l'évaluation de ces cartes nécessite dutemps et de l'expertise. Pour répondre à ces questions, nous avonsdéfini le problème comme une tâche d'imputation de données manquantes.La méthode que nous proposons prend en compte l'entraînement d'un réseauneuronal infini pour estimer l'exposition aux champs électromagnétiques.Il s'agit d'une solution prometteuse pour la reconstruction des cartesd'exposition, qui ne nécessite pas de grands ensembles d'apprentissage.La méthode proposée est comparée à d'autres approches d'apprentissageautomatique basées sur les réseaux UNet et les réseaux adversairesgénératifs conditionnels, avec des résultats compétitifs
The topic of exposure to electromagnetic fields has received muchattention in light of the current deployment of the fifth generation(5G) cellular network. Despite this, accurately reconstructing theelectromagnetic field across a region remains difficult due to a lack ofsufficient data. In situ measurements are of great interest, but theirviability is limited, making it difficult to fully understand the fielddynamics. Despite the great interest in localized measurements, thereare still untested regions that prevent them from providing a completeexposure map. The research explored reconstruction strategies fromobservations from certain localized sites or sensors distributed inspace, using techniques based on geostatistics and Gaussian processes.In particular, recent initiatives have focused on the use of machinelearning and artificial intelligence for this purpose. To overcome theseproblems, this work proposes new methodologies to reconstruct EMFexposure maps in a specific urban area in France. The main objective isto reconstruct exposure maps to electromagnetic waves from some datafrom sensors distributed in space. We proposed two methodologies basedon machine learning to estimate exposure to electromagnetic waves. Forthe first method, the exposure reconstruction problem is defined as animage-to-image translation task. First, the sensor data is convertedinto an image and the corresponding reference image is generated using aray tracing-based simulator. We proposed an adversarial network cGANconditioned by the environment topology to estimate exposure maps usingthese images. The model is trained on sensor map images while anenvironment is given as conditional input to the cGAN model.Furthermore, electromagnetic field mapping based on the GenerativeAdversarial Network is compared to simple Kriging. The results show thatthe proposed method produces accurate estimates and is a promisingsolution for exposure map reconstruction. However, producing referencedata is a complex task as it involves taking into account the number ofactive base stations of different technologies and operators, whosenetwork configuration is unknown, e.g. powers and beams used by basestations. Additionally, evaluating these maps requires time andexpertise. To answer these questions, we defined the problem as amissing data imputation task. The method we propose takes into accountthe training of an infinite neural network to estimate exposure toelectromagnetic fields. This is a promising solution for exposure mapreconstruction, which does not require large training sets. The proposedmethod is compared with other machine learning approaches based on UNetnetworks and conditional generative adversarial networks withcompetitive results

Book chapters on the topic "5G electromagnetic field":

1

Nasir, Nor Fazlin Mohd, Heng Siong Lim, and Kah Seng Diong. "Downlink Electromagnetic Field Exposure Levels in Pre-5G and 5G Ultra-Dense Mobile Networks." In Proceedings of the Multimedia University Engineering Conference (MECON 2022), 264–80. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-082-4_25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Roth, Bradley J. "Did 5G Cell Phone Radiation Cause Covid-19?" In Are Electromagnetic Fields Making Me Ill?, 85–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98774-9_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Taybi, Chakib, Jihad Assahsah, Aboulkacem Karkri, Mohammed Anisse Moutaouekkil, Bachir Elmagroud, and Abdelhak Ziyyat. "Evaluation of the Exposition Human to Electromagnetics Field at 5G and 6G Frequencies." In Advances in Control Power Systems and Emerging Technologies, 285–90. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51796-9_35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

"Electromagnetic field (EMF) monitoring tools." In Low Electromagnetic Emission Wireless Network Technologies: 5G and beyond, 23–52. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbte084e_ch2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Arinze, Ndidi Stella, Patrick Uche Okafor, and Osondu Ignatius Onah. "The Adverse Effect of Electromagnetic Radiation From Cellular Base Stations in Nigeria." In Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering, 269–80. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6992-4.ch010.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
On a global scale, the telecommunication industry is experiencing tremendous growth in mobile phones. Mobile phones communicate with base stations that are erected by the telecommunication industry. The base station produces radio frequency and exposes the people near the base stations to radiation. The effect of electromagnetic radiation from four base stations located at the residential area was studied by measuring their electric field strength and calculating their magnetic field strength and power density at different distances covering a frequency range of 900MHz to 2100MHz. The obtained values showed that the four cellular base stations are operating above the standard values of the International Commission on Non-Ionizing Radiation Protection Electromagnetic Field Radiation. The specific absorption rate was measured to determine the amount of radio frequency electromagnetic radiation absorbed by the human body. The result which is in the range of 3.22-3.70 W/kg is higher than the acceptable 2 W/kg for localized specific absorption rate.
6

Chandan, Rakesh Kumar, Prem Nath Suman, and Keshav Sinha. "The Environmental Impact of 5G Technology on Humans and Animals." In Advances in Library and Information Science, 48–68. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7258-0.ch003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
5G has the potential to become the future communication technology as it has the capability to provide faster download speeds, extremely low latency, and higher capacity. The deployment of 5G will be as a wi-fi that will cover the entire globe. It will serve an elevated number of devices than the previous technology; therefore, the distribution of radiofrequency electromagnetic fields (RF-EMF) will grow rapidly. Although no direct adverse effect has been reported by the service providers, the real health impact of this advanced technology is still under investigation. It is expected that the mm-wave frequency range (30-300 GHz) is ideal for 5G technology, and the devices, in this operating range, will work at very low power due to which small penetration is supposed to occur, but it will require a high density of small cells. It will increase the chances of human exposure to RF-EMF. In this chapter, a theoretical framework is used to describe the effect of 5G technology on humans and animals and also the rumors related to the adaptation of 5G technology.

Conference papers on the topic "5G electromagnetic field":

1

Chountala, Chrysanthi, Jean-Marc Chareau, and Pravir Chawdhry. "Radio Frequency Electromagnetic Field Measurements in a Commercial 5G Network." In 2021 IEEE 4th 5G World Forum (5GWF). IEEE, 2021. http://dx.doi.org/10.1109/5gwf52925.2021.00055.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Estrada, Juan, Enric Pardo, Ramiro Camino, and Sébastien Faye. "Assessing the Electromagnetic Field Exposure of 5G Transmitters." In MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3551660.3560906.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rubtsova, Nina, Sergey Perov, and Olga Belay. "2-5G electromagnetic field chronic exposure biological effects assessment." In RAD Conference. RAD Centre, 2021. http://dx.doi.org/10.21175/rad.abstr.book.2021.20.5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rumeng, Tan, Shi Ying, Wu Tong, and Zhu Wentao. "Electromagnetic field safety compliance assessments for 5G wireless networks." In 2020 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI). IEEE, 2020. http://dx.doi.org/10.1109/emcsi38923.2020.9191518.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rowley, Jack, and Haim Mazar. "Misunderstandings about radiofrequency electromagnetic field exposure and 5G misinformation." In 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). IEEE, 2021. http://dx.doi.org/10.1109/comcas52219.2021.9629063.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Derat, Benoit. "5G antenna characterization in the far-field: How close can far-field be?" In 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC). IEEE, 2018. http://dx.doi.org/10.1109/isemc.2018.8393926.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Belaya, О. V. "EXPERIMENTAL STUDY OF 2-5G BASE STATION ELECTROMAGNETIC FIELD CHRONIC EXPOSURE NERVOUS SYSTEM EFFECT TYPOLOGICAL FEATURES." In The 4th «OCCUPATION and HEALTH» International Youth Forum (OHIYF-2022). FSBSI «IRIOH», 2022. http://dx.doi.org/10.31089/978-5-6042929-6-9-2022-1-20-24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
Introduction: the new exposure to electromagnetic fields biological effect assessment is actual with respect to the expected of electromagnetic environment complication due to joint operation of various generation cellular communication systems. The character of biological reaction can be mediated by individual typological characteristics of the organism. The goal: to study the 2–5G base stations electromagnetic field chronic exposure effect to nervous system functional state of laboratory animals with regard to their typological features. Methods: the rats body weight registration and "open field" test were carried out before the start of exposure, after each month of 24-hour exposure (500 µW/cm2, 2-5G mobile standards, 4 months) and 1 month after the end of exposure with accounting of high-entropic and low-entropic animal subgroups. Results: the results indicate a multidirectional effect of rats’ nervous system in groups of various entropy types. According to behavioral parameters and body weight dynamics, there was an inhibition of research activity and functional state of the high-entropic animals after 2 months of exposure. Conclusion: Results can be assumed that used experimental exposure type had a suppression affect to central nervous system functional state with higher responsiveness of animals that initially have a predominance of excitation over inhibition processes.
8

Persia, Samuela, Claudia Carciofi, Marina Barbiroli, Cristina Volta, Daniele Bontempelli, and Giuseppe Anania. "Radio Frequency Electromagnetic Field Exposure Assessment for future 5G networks." In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2018. http://dx.doi.org/10.1109/pimrc.2018.8580919.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Fellan, Amina, Christopher Hobelsberger, Christian Schellenberger, Daniel Lindenschmitt, and Hans D. Schotten. "Electromagnetic Field Strength Measurements in a Private 5G Campus Network." In MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3551661.3561361.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sierra Castañer, M. "The Challenge of Electromagnetic Field Measurements for Modern 5G Devices." In 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0750.

Full text
APA, Harvard, Vancouver, ISO, and other styles

To the bibliography