Rain Attenuation Prediction Models of 60GHz Based on Neural Network and Least Squares-Support Vector Machine
Although 60 GHz mmWave (millimeter-wave) has attractive features and promising applications, it is affected seriously by rain attenuation. Based on the neural networks and SVM (support vector machine), two novel rain attenuation prediction models for 60 GHz millimeter-wave are proposed in this paper. We respectively applied the BP (back-propagation) neural network and LS-SVM (least squares-support vector machine) to simulate the non-linear relationship between rainfall intensity and rain attenuation, then the two models are compared with general ITU-R model. Experimental results showed that both of the proposed prediction models are indeed superior to the existing ITU-R model for rain attenuation prediction in the sense of both accuracy and stability while LS-SVM is the most promising model for the prediction of rain attenuation.
Keywords60 GHz mmWave Back-propagation neural network Least squares-support vector machine Rain attenuation
This work was supported by Nation Natural Science Foundation of China(61271180).
- 1.Yong SK (2005) Multi gigabit wireless through millimeter wave in 60 GHz band. In: Proceedings of wireless conference Asia, Singapore, November 2005Google Scholar
- 2.Asen W, Gibbins CJ (2002) A comparison of rain attenuation and drop size distributions measured in Chilbolton and Singapore. Radio Sci 37(3):1–15, June 2002Google Scholar
- 3.Swindell RM, Fraser DJ (2003) Improving spectrum utilisation at 58–66GHz through an accurate assessment of rain scatter interference phase 1 report, QinetiQ/03/00084, 2003, unpublishedGoogle Scholar
- 4.Recommendation ITU-R P.838-2 (2005) Specific attenuation model for rain for use in prediction methods. ITU-R P Sers., March 2005Google Scholar
- 5.Hagan MT, Demuth HB, Beale MH (2002) Neural net-work design[M]. Translated by DAI Kui, Beijing: China Machine Press, 2002Google Scholar
- 6.Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. (03)Google Scholar
- 7.Kvicera V, Grabner M (2007) Rain attenuation at 58 GHz: Prediction versus long-term trial results. 2007:7. Article ID 46083Google Scholar