volume | PIER Journals

Abstract

The reliable design of a satellite communications network, operating at Ku band and above, requires the exact evaluation of the interference effects on the availability and performance of both the uplink and downlink. In this paper, the case of Uplink Adjacent Satellite Network Interference is examined. We accurately calculate the deterioration of the uplink clear sky nominal adjacent satellite network Carrier-to-Interference threshold, due to spatial inhomogeneity of the propagation medium. At these frequency bands, rain attenuation is the dominant fading mechanism. Here we present an analytical physical model for the calculation of Interference Statistical Distribution between adjacent Broadband Satellite Networks operating at distances up to 500 km. We employ the unconditional bivariate lognormal distribution for the correlated rain fading satellite channels. Useful numerical results are presented for satellite networks located in different climatic regions and with various quality of service (QoS) assumptions.

1. Panagopoulos, A. D., P.-D. M. Arapoglou, and P. G. Cottis, "Satellite communications at Ku, Ka, and V bands: Propagation impairments and mitigation techniques," IEEE Commun. Surveys and Tutorials, Third Quarter, 2004. Google Scholar

2. Castanet, L., A. Bolea-Alamanac, and M. Bousquet, "Interference and fade mitigation techniques for Ka and Q/V band satellite communication systems," COST 272-280 International Workshop on Satellite Communications from Fade Mitigation to Service Provision, Noordwijk, The Netherlands, May 2003. Google Scholar

3. Morello, A. and V. Mignone, "DVB-S2: The second generation standard for satellite broad-band services," Proceedings of the IEEE, Vol. 94, No. 1, 210-227, Jan. 2006.
doi:10.1109/JPROC.2005.861013 Google Scholar

4. Crane, R. K., Electromagnetic Wave Propagation through Rain, Wiley Series in Remote Sensing, 1996.

5. Mandeep, J. S., "Rain attenuation predictions at Ku-band in South East Asia countries," Progress In Electromagnetics Research, Vol. 76, 65-74, 2007.
doi:10.2528/PIER07062605 Google Scholar

6. Mandeep, J. S., "Equatorial rainfall measurement on Ku-band satellite communication downlink," Progress In Electromagnetics Research, Vol. 76, 195-200, 2007.
doi:10.2528/PIER07070901 Google Scholar

7. Chen, K.-S. and C.-Y. Chu, "A propagation study of the 28 GHz LMDS system performance with M-QAM modulations under rain fading," Progress In Electromagnetics Research, Vol. 68, 35-51, 2007.
doi:10.2528/PIER06070603 Google Scholar

8. Ojo, J. S., M. O. Ajewole, and S. K. Sarkar, "Rain rate and rain attenuation prediction for satellite communication in Ku and Ka bands over Nigeria," Progress In Electromagnetics Research B, Vol. 5, 207-223, 2008.
doi:10.2528/PIERB08021201 Google Scholar

9. Ojo, J. S. and C. I. Joseph-Ojo, "An estimate of interference effect on horizontally polarized signal transmission in the tropical locations: A comparison of rain-cell models," Progress In Electromagnetics Research C, Vol. 3, 67-79, 2008.
doi:10.2528/PIERC08022601 Google Scholar

10. Drougas, A. E., A. D. Panagopoulos, and P. G. Cottis, "Stochastic verification of the first-order Markovian assumption of rain attenuation for satellite channel dynamic modeling," IEEE Communication Letters, Vol. 12, No. 9, 663-665, Sep. 2008.
doi:10.1109/LCOMM.2008.080813 Google Scholar

11. Kanellopoulos, J. D., A. D. Panagopoulos, and S. N. Livieratos, "A comparison of copolar and cochannel satellite interference prediction models with experimental results at 11.6 and 20 GHz," Int. Jour. of Sat. Commun., Vol. 18, 107-120, 2000.
doi:10.1002/(SICI)1099-1247(200003/04)18:2<107::AID-SAT654>3.0.CO;2-W Google Scholar

12. Crane, R. K., Propagation Handbook for Wireless Communication System Design, CRC Press LLC, 2003.

13. ITU-R P.839-3 "Rain height model for prediction methods,", Geneva, 2003. Google Scholar

14. ITU-R P.837-4 "Characteristics of precipitation for propagation modeling,", 2003. Google Scholar

15. Barbaliscia, F., G. Ravaioli, and A. Paraboni, "Characteristics of the spatial statistical dependence of rainfall rate over large areas," IEEE Trans. on Ant. and Prop., Vol. 40, No. 1, 8-12, 1992.
doi:10.1109/8.123347 Google Scholar

16. Panagopoulos, A. D., P.-D. M. Arapoglou, A. D. Panagopoulos, G. E. Chatzarakis, J. D. Kanellopoulos, and P. G. Cottis, "Unbalanced large scale multiple site diversity performance in satellite communication networks," XXVIIIth URSI General Assembly, 2005. Google Scholar

17. Luglio, M., R. Mancini, C. Riva, A. Paraboni, and F. Barbaliscia, "Large-scale site diversity for satellite communication networks ,", Vol. 20, No. 4, 251-260, July–August 2002. Google Scholar

Dr. Athanasios Panagopoulos