TY - GEN
T1 - Preliminary Results from Spatial Characterization of Tropical Rain Using Weather Radar Data
AU - Yadnya, Made Sutha
AU - Hendrantoro, Gamantyo
AU - Wayan Sudiarta, I.
AU - Endarwin,
AU - Adiyasa, Alif
AU - Mauludiyanto, Achmad
AU - Ali, Abdullah
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Rain attenuation is one of the main problems in wireless communications above 10 GHz in tropical areas, including radio access networks that involve multiple links with coordinated multipoint (CoMP) transmission. To evaluate the impact of rain attenuation on millimeter-wave transmission, spatial characterization of rainfall rate is carried out using weather radar data in the form of CAPPI. Radar data processing is able to produce an autocorrelation function of rainfall in the area covered by the rain event. This information can be used in spatial generation of rain attenuation in simulations to evaluate performance of mm-wave CoMP transmission. Results of processing tropical rain radar data show that by focusing on an area in the same order of the area occupied by a rain event, small details including multiple peaks of rain rate can be observed within a single rain event. With a smaller area of observation covering the middle part of the rain event area, the spatial correlation of rainfall rate decreases more steeply with the distance compared to the case of a wider area. Furthermore, observation focused on a 3 km × 3 km area is more appropriate for evaluating the impact of tropical rain in a mm-wave radio access network where the maximum length of access links is typically 200-500 m.
AB - Rain attenuation is one of the main problems in wireless communications above 10 GHz in tropical areas, including radio access networks that involve multiple links with coordinated multipoint (CoMP) transmission. To evaluate the impact of rain attenuation on millimeter-wave transmission, spatial characterization of rainfall rate is carried out using weather radar data in the form of CAPPI. Radar data processing is able to produce an autocorrelation function of rainfall in the area covered by the rain event. This information can be used in spatial generation of rain attenuation in simulations to evaluate performance of mm-wave CoMP transmission. Results of processing tropical rain radar data show that by focusing on an area in the same order of the area occupied by a rain event, small details including multiple peaks of rain rate can be observed within a single rain event. With a smaller area of observation covering the middle part of the rain event area, the spatial correlation of rainfall rate decreases more steeply with the distance compared to the case of a wider area. Furthermore, observation focused on a 3 km × 3 km area is more appropriate for evaluating the impact of tropical rain in a mm-wave radio access network where the maximum length of access links is typically 200-500 m.
KW - CoMP
KW - Weather radar
KW - millimeter-wave
KW - rain attenuation
KW - resilient infrastructure
KW - spatial variation
UR - http://www.scopus.com/inward/record.url?scp=85178054844&partnerID=8YFLogxK
U2 - 10.1109/iSemantic59612.2023.10295275
DO - 10.1109/iSemantic59612.2023.10295275
M3 - Conference contribution
AN - SCOPUS:85178054844
T3 - 2023 International Seminar on Application for Technology of Information and Communication: Smart Technology Based on Industry 4.0: A New Way of Recovery from Global Pandemic and Global Economic Crisis, iSemantic 2023
SP - 271
EP - 275
BT - 2023 International Seminar on Application for Technology of Information and Communication
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023
Y2 - 16 September 2023 through 17 September 2023
ER -
