TY - GEN
T1 - Six Months in the Life of a Cellular Tower: Is 5G Exposure Higher than pre-5G One?
AU - Chiaraviglio, Luca
AU - Lodovisi, Chiara
AU - Franci, Daniele
AU - Pavoncello, Settimio
AU - Aureli, Tommaso
N1 - KAUST Repository Item: Exported on 2022-11-18
Acknowledged KAUST grant number(s): OSR-2020-CRG9-4377
Acknowledgements: This work was supported by the PLAN-EMF project (KAUST Award No. OSR-2020-CRG9-4377). We sincerely thank the anonymous reviewers for the fruitful feedback.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2022/9/26
Y1 - 2022/9/26
N2 - 5G service is already available in many countries, including Italy. Currently, 5G networks are run in parallel to the already deployed pre-5G ones (including 4G). In this work, we face the problem of continuously monitoring the exposure from a vantage point over a very long period of time (i.e., several months). After designing and validating a measurement setup suitable for our aims, we extensively collected 5G and pre-5G exposure data from the considered location. Results show that, although the share of 5G exposure is in general lower than pre-5G one, both intensity and occurrence of 5G exposure peaks are rapidly increasing over the months, suggesting a growth of 5G exposure levels in the near future.
AB - 5G service is already available in many countries, including Italy. Currently, 5G networks are run in parallel to the already deployed pre-5G ones (including 4G). In this work, we face the problem of continuously monitoring the exposure from a vantage point over a very long period of time (i.e., several months). After designing and validating a measurement setup suitable for our aims, we extensively collected 5G and pre-5G exposure data from the considered location. Results show that, although the share of 5G exposure is in general lower than pre-5G one, both intensity and occurrence of 5G exposure peaks are rapidly increasing over the months, suggesting a growth of 5G exposure levels in the near future.
UR - http://hdl.handle.net/10754/685831
UR - https://ieeexplore.ieee.org/document/9887670/
UR - http://www.scopus.com/inward/record.url?scp=85140897687&partnerID=8YFLogxK
U2 - 10.1109/MN55117.2022.9887670
DO - 10.1109/MN55117.2022.9887670
M3 - Conference contribution
SN - 9781665483629
BT - 2022 IEEE International Symposium on Measurements & Networking (M&N)
PB - IEEE
ER -