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
- Sameul Awolumat, Baernadette Tosan Fregene, Temporal Variability and Predictors of Fish Catch (2009-2011) in the Niger and Benue Rivers: Implications for Contemporary Natural Resources Management in Kogi State, Nigeria , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Idongesit Ignatius udo, A Comprehensive Review on Polymer Degradation: Mechanisms, Environmental Implications, and Sustainable Mitigation Strategies , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Fatima Binta Adamu, Muhammad Bashir Abdullahi, Sulaimon Adebayo Bashir, Abiodun Musa Aibinu, Conceptual Design Of A Hybrid Deep Learning Model For Classification Of Cervical Cancer Acetic Acid Images , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Enock Aninakwah, Isaac Aninakwah , Emmanuel Yeboah Okyere, Quantitative Analysis of Plastic Waste Accumulation in Coastal Ghana: Implications for Waste Management , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Emmanuel Oluwemimo Falodun, Faith, Technology, and Safety: A Theoretical Framework for Religious Leaders Using Artificial Intelligence to Advocate for Gun Violence Prevention , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- 1. Anthony I. G. Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B, Seasonal Short-Term Load Forecasting (STLF) using combined Social Spider Optimisation (SSO) and African Vulture Optimisation Algorithm (AVOA) in Artificial Neural Networks (ANN) , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Edoise Areghan, From Data Breaches to Deepfakes: A Comprehensive Review of Evolving Cyber Threats and Online Risk Management , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Franklin Akwasi Adjei, Artificial Intelligence and Machine Learning in Environmental Health Science: A Review of Emerging Applications , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 Issue 5
- Faith Osaretin Osabuohien, Green Analytical Methods for Monitoring APIs and Metabolites in Nigerian Wastewater: A Pilot Environmental Risk Study , Communication In Physical Sciences: Vol. 4 No. 2 (2019): VOLUME 4 ISSUE 2
- Enefiok Archibong Etuk, Omankwu, Obinnaya Chinecherem Beloved, Spiking Neural Networks (SNNs): A Path towards Brain-Inspired AI , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
You may also start an advanced similarity search for this article.