University of Twente Student Theses
Electromagnetic Field Exposure assessment of 5G NR Cell-free Massive MIMO overlapping with Legacy Cellular Technologies
Siles Cárdenas, L.D.R. (2023) Electromagnetic Field Exposure assessment of 5G NR Cell-free Massive MIMO overlapping with Legacy Cellular Technologies.
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| Abstract: | This research investigates the overall EMF (Electromagnetic Field) exposure in a simulation environment when a substantial number of mmWave BSs (Base Stations) is introduced into an established network, specifically in Enschede, The Netherlands. It acknowledges applicable EMF exposure regulations as well as independent research groups regarding EMF exposure. The simulation replicates thirty-eight BSs from the existing mobile network to calibrate the simulation environment and align with Agentschap Telecom EMF measurements. An additional twenty-eight introduced BSs simulate a technological upgrade adopting Cell-free Massive MIMO with mmWave frequencies. ICNIRP (International Commission on Non-Ionizing Radiation Protection) guidelines are used as a reference. Multiple simulations explore various network configurations, including User Density, BS Quantity, BS Antenna Configuration, SCS (Sub-Carrier Spacing), Channel Bandwidth, and Transmit Power, to analyze their impact on EMF exposure. Notable changes in the electric field are observed, particularly in BS Antenna Configurations, with different behaviors based on User Density. There is a 3 dB increase in the electric field by using a 120 kHz SCS configuration. The introduction of the mmWave Cell-free Massive MIMO BSs projects an increase in the electric field level of 9 dB in the considered region. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 02 science and culture in general, 50 technical science in general |
| Programme: | Electrical Engineering MSc (60353) |
| Link to this item: | https://purl.utwente.nl/essays/97048 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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