Dense millimeter-wave networks are a promising candidate for next-generation cellular systems enabling multiple gigabit-per-second data rates. A major disadvantage of millimeter-wave systems is signal disruption by rain, and here we propose a novel method for rain sensing using dual-frequency measurements at 25 and 38GHz from a small-scale Tokyo Institute of Technology (Tokyo Tech) millimeter-wave network. A real-time algorithm is developed for estimating the rain rate from attenuation using both ITU-R relationships and new coefficients that consider the effects of the rain Drop Size Distribution (DSD). The suggested procedure is tested on measured data, and its performance is evaluated. The results show that the proposed algorithm yields estimates that agree very well with rain gauge data.
Hung V. LE
Tokyo Institute of Technology
Capsoni CARLO
Politecnico di Milano
Nebuloni ROBERTO
CNR-IEIIT
Luini LORENZO
Politecnico di Milano
Takuichi HIRANO
Tokyo Institute of Technology
Toru TANIGUCHI
Japan Radio Co., Ltd.
Jiro HIROKAWA
Tokyo Institute of Technology
Makoto ANDO
Tokyo Institute of Technology
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Hung V. LE, Capsoni CARLO, Nebuloni ROBERTO, Luini LORENZO, Takuichi HIRANO, Toru TANIGUCHI, Jiro HIROKAWA, Makoto ANDO, "Rain Sensing Using Dual-Frequency Measurements from Small-Scale Millimeter-Wave Network" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 6, pp. 1040-1049, June 2015, doi: 10.1587/transcom.E98.B.1040.
Abstract: Dense millimeter-wave networks are a promising candidate for next-generation cellular systems enabling multiple gigabit-per-second data rates. A major disadvantage of millimeter-wave systems is signal disruption by rain, and here we propose a novel method for rain sensing using dual-frequency measurements at 25 and 38GHz from a small-scale Tokyo Institute of Technology (Tokyo Tech) millimeter-wave network. A real-time algorithm is developed for estimating the rain rate from attenuation using both ITU-R relationships and new coefficients that consider the effects of the rain Drop Size Distribution (DSD). The suggested procedure is tested on measured data, and its performance is evaluated. The results show that the proposed algorithm yields estimates that agree very well with rain gauge data.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1040/_p
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@ARTICLE{e98-b_6_1040,
author={Hung V. LE, Capsoni CARLO, Nebuloni ROBERTO, Luini LORENZO, Takuichi HIRANO, Toru TANIGUCHI, Jiro HIROKAWA, Makoto ANDO, },
journal={IEICE TRANSACTIONS on Communications},
title={Rain Sensing Using Dual-Frequency Measurements from Small-Scale Millimeter-Wave Network},
year={2015},
volume={E98-B},
number={6},
pages={1040-1049},
abstract={Dense millimeter-wave networks are a promising candidate for next-generation cellular systems enabling multiple gigabit-per-second data rates. A major disadvantage of millimeter-wave systems is signal disruption by rain, and here we propose a novel method for rain sensing using dual-frequency measurements at 25 and 38GHz from a small-scale Tokyo Institute of Technology (Tokyo Tech) millimeter-wave network. A real-time algorithm is developed for estimating the rain rate from attenuation using both ITU-R relationships and new coefficients that consider the effects of the rain Drop Size Distribution (DSD). The suggested procedure is tested on measured data, and its performance is evaluated. The results show that the proposed algorithm yields estimates that agree very well with rain gauge data.},
keywords={},
doi={10.1587/transcom.E98.B.1040},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Rain Sensing Using Dual-Frequency Measurements from Small-Scale Millimeter-Wave Network
T2 - IEICE TRANSACTIONS on Communications
SP - 1040
EP - 1049
AU - Hung V. LE
AU - Capsoni CARLO
AU - Nebuloni ROBERTO
AU - Luini LORENZO
AU - Takuichi HIRANO
AU - Toru TANIGUCHI
AU - Jiro HIROKAWA
AU - Makoto ANDO
PY - 2015
DO - 10.1587/transcom.E98.B.1040
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2015
AB - Dense millimeter-wave networks are a promising candidate for next-generation cellular systems enabling multiple gigabit-per-second data rates. A major disadvantage of millimeter-wave systems is signal disruption by rain, and here we propose a novel method for rain sensing using dual-frequency measurements at 25 and 38GHz from a small-scale Tokyo Institute of Technology (Tokyo Tech) millimeter-wave network. A real-time algorithm is developed for estimating the rain rate from attenuation using both ITU-R relationships and new coefficients that consider the effects of the rain Drop Size Distribution (DSD). The suggested procedure is tested on measured data, and its performance is evaluated. The results show that the proposed algorithm yields estimates that agree very well with rain gauge data.
ER -