Electromagnetic Field(Emf) Exposure in 5g Utilizations
Keywords:
Precision forestry, Remote sensing, Artificial intelligence, Mechanization, Sustainable forest managementAbstract
Fifth-generationmoveable links is currently cultivated to encounter the spacious boost in information and connectivity, and it associates billions of gadgets via the web of things.A major benefit of 5G is the quick response time, also called latency, that is given by faster connections and better capability. As 5G is utilizing elevated frequencies as an example overhead 6GHz, individuals are worried about this Electromagnetic Field(EMF) vulnerability because it utilizes a multitude of transmitters. To understand the effect of the EMF in 5G, power density assessments were done for three distinct frequency bands in five distinct environmental scenarios in Umuahia Abia State, Nigeria. The outcomes of the power density assessment in frequency bands shows that therewas no EMF vulnerability adjacent the transmitters. But sometimes, with the replication outcomes, it was shown that there exist an EMF vulnerability adjacent the transmitter when in view of diverse scenarios. So, when deploying the 5G connections in these environmental ailments, EMF regulations and limitations must be taken into better account and deployment must be conducted to play down this vulnerability. Consequently, when planning the 5G deployments, this exposed place must bemarked as a confined place that the overall public cannot entry.
Similar Articles
- Aniekan Udongwo, Oluwafisayomi Folorunso, Resource Recovery from Maize Biomass for the Synthesis of SiO2 Nanoparticles and Crystallographic Analysis for Possible Applications , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Osondu Onwuegbuchi, Abdulaziz Olaleye Ibiyeye, Joy Nnenna Okolo, Samuel Adetayo Adeniji, Cybersecurity Risks in the Fintech Ecosystem: Regulatory and Technological Perspectives , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- David Adetunji Ademilua, Edoise Areghan, Cloud Computing and Machine Learning for Scalable Predictive Analytics and Automation: A Framework for Solving Real-world Problems , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Akens Hamilton-Amachree , Phytochemical Profiling of 30% Acetone Honeybee Crude Extract Collected From Ondo West Forest, Ondo State, Nigeria , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Amadi Ugwulo Chinyere, Modelling Glucose-Insulin Dynamics: Insights for Diabetes Management , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- 1. Olowonefa Richard, 2. Auduson, Aaron Enechojo, Ologe Oluwatoyin, 4. Yusuf Odunsanwo , 5. Agbane Isaac Ojodomo, Geomechanical Characterization and In-Situ Stresses Analysis for Predicting CO₂ Storage Potential: A Case Study of Toba Field, Niger Delta , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Assumpta Obianuju Ezugwu, Onyinye Nweke, Stephen Okechukwu Aneke, A survey on Students' Academic Performance in Smart Campuses , Communication In Physical Sciences: Vol. 8 No. 2 (2022): VOLUME 8 ISSUE 2
- Temitope Sunday Adeusi, Ayodeji Aregbesola, Impact of Climatic Condition on the Life Cycle of Water Contaminants , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Adams, Abiodun Emmanuel, Comparative Study of the Proximate Analysis of Shea Butter Seed (Vitellaria paradoxa) Across three Different Locations in the Savanna Region of Nigeria , Communication In Physical Sciences: Vol. 10 No. 3 (2023): VOLUME 10 ISSUE 3 (2023-2024)
- Funmilayo Ayedun, Probing the Effects of Atomic Position Changes on the Structural, Electronic, and Thermoelectric Properties of the Half-Heusler ZrPtPb Compound: A First-Principles Study , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
You may also start an advanced similarity search for this article.



