Influence of power control in the mobile network on the radiation level
Abstract
Influence of power control in the mobile network on the radiation level Mitić D, Lebl A, Markov Ž. Influence of power control in the mobile network on the radiation level. Journal of Electrical Engineering, 75(2):161-165. 2024. doi: 10.2478/jee-2024-0019. Abstract The paper evaluates how the control of transmitted power affects the intensity of radiation in a mobile network cell. Cell models without power control, with standard power control and a model with power control and channel reallocation are considered. The relative reduction of radiation is evaluated and several examples of calculations are presented. Remarks are given on the dependence of radiation reduction on the number of traffic channels, traffic intensity and signal attenuation coefficient. The assessment procedure and results are based on previously verified traffic process simulation models. Conclusion The paper shows that control of emitted power, in addition to saving energy and reducing interference, also contributes to the radiation reduction. Control of the emission power by matching the power with the user's distance affects the reduction of radiation in proportion to the increase in the number of frequency carriers. The radiation level depends on the distribution of the users’ surface density in the cell and on the environmental signal attenuation coefficient. Additional control of the emission power by channel reallocation can further reduce the radiation level. This reduction is greater when there is a smaller number of frequency carriers (but greater than 1), with less offered traffic and with a higher attenuation coefficient. Open access paper: doi.org
AI evidence extraction
Main findings
Using traffic-process simulation cell models, the paper reports that transmitted power control in a mobile network cell reduces the radiation level compared with no power control. A model including power control plus channel reallocation is reported to further reduce radiation, with the reduction depending on factors such as number of frequency carriers, offered traffic, user surface-density distribution, and the environmental signal attenuation coefficient.
Outcomes measured
- radiation level/intensity reduction in a mobile network cell (relative reduction)
Limitations
- Based on simulation models rather than direct field measurements (as described in the abstract).
- No specific frequencies, exposure metrics (e.g., field strength units), or quantitative results are provided in the abstract.
- Dependence on model assumptions/parameters (e.g., user distribution, attenuation coefficient) is indicated.
Suggested hubs
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who-icnirp
(0.2) Addresses reduction of radiation levels in mobile networks via power control; potentially relevant to exposure management context, though no explicit policy body is mentioned.
View raw extracted JSON
{
"study_type": "engineering",
"exposure": {
"band": null,
"source": "mobile network",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": null,
"sample_size": null,
"outcomes": [
"radiation level/intensity reduction in a mobile network cell (relative reduction)"
],
"main_findings": "Using traffic-process simulation cell models, the paper reports that transmitted power control in a mobile network cell reduces the radiation level compared with no power control. A model including power control plus channel reallocation is reported to further reduce radiation, with the reduction depending on factors such as number of frequency carriers, offered traffic, user surface-density distribution, and the environmental signal attenuation coefficient.",
"effect_direction": "benefit",
"limitations": [
"Based on simulation models rather than direct field measurements (as described in the abstract).",
"No specific frequencies, exposure metrics (e.g., field strength units), or quantitative results are provided in the abstract.",
"Dependence on model assumptions/parameters (e.g., user distribution, attenuation coefficient) is indicated."
],
"evidence_strength": "low",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "yes",
"keywords": [
"power control",
"mobile network cell",
"radiation level",
"channel reallocation",
"traffic process simulation",
"frequency carriers",
"signal attenuation"
],
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}
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}
AI can be wrong. Always verify against the paper.
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