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PIERS ONLINE, VOL. 6, NO. 8, 2010 716 An Evaluation of Approaches for Modeling of Terrestrial, HAP and Satellite Systems Performance during Rain Events S. Zvanovec, L. Subrt, and P. Pechac Department of Electromagnetic Field, Czech Technical University in Prague, Czech Republic AbstractThis paper presents the results from site-specific simulations of route diversity performance in case of High Altitude Platform system, terrestrial system and satellite system during specific rain events. Based on the radar rainfall database, route diversity dependences on altitude of transmitter were studied using the simulation tool. The main goal of the paper is to adopt concept for HAP systems from investigations of both terrestrial point-to-multipoint systems and satellite systems operating in millimeter frequency bands. 1. INTRODUCTION The proper choice of the modeling approaches for electromagnetic wave propagation within the millimeter wave band is crucial. This is particularly due to the high cost of millimeter wave equipments associated with transmitting power. Considerably high attenuation can be caused by interaction of transmitted waves with rain drops. There can be found several approaches to enumeration and compensation of signal fades caused by rain [1, 2]. Investigations of millimeter wave propagation aspects have been conducted out within the frame of European international projects such as CRABS [3] and COST Action 280 [4] and COST Action 297 [5]. Nevertheless, due to the variability of systems configurations, these models can be used only for investigation of alone terrestrial, satellite or High Altitude Platforms (HAPs) links. Spatial distribution of rain attenuation observed by users in the area 50 km× 50 km from transmitter placed either at terrestrial mast (10m above ground) or at HAP (deployed on quasi-stationary unmanned vehicles/airships in the stratosphere at the altitude of 20 km) or at LEO satellite (altitude of 320 km) is depicted in Figure 1. These results clearly demonstrate, how particular systems are able to connect with users behind a rain event. One of the rain fade mitigating approaches used in millimeter waveband introduces a route diversity [2] — i.e., two joint links to one HAP station from two different ground localities — during a storm, when a rain cell moves across the service area, any outage of a terminal can be avoided when it is able to connect to two different HAP stations. Nevertheless [2], involves only the parameters given based on the measurements of Earth-space links within particular geographical localities. The paper brings a comparative study of modeling approaches for propagation of millimeter waves within rain events and their adaption to HAP systems. The rain database from the period of 2002–2005 was utilized including 250 km × 250 km rain scans from Czech meteoradars (rain rate distributions with 1 km grid resolution and 1 minute time steps). Particular results of HAP system simulations performed at the frequency of 48 GHz will be discussed. Two evaluation methods were tested based on simulation results: the first following terrestrial approaches [6] and the second one from the other side utilizing a satellite approach [2]. (a) (b) (c) (d) Figure 1: (a) rain rate distribution in [mm/h] and corresponding rain attenuation in [dB] for coverage from (b) terrestrial transmitter; (c) HAP; (d) satellite.

An Evaluation of Approaches for Modeling of Terrestrial, HAP … · 2017. 12. 17. · HAP systems was elaborately performed in [7] with the result | the rain spatial classiflcation

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  • PIERS ONLINE, VOL. 6, NO. 8, 2010 716

    An Evaluation of Approaches for Modeling of Terrestrial, HAPand Satellite Systems Performance during Rain Events

    S. Zvanovec, L. Subrt, and P. PechacDepartment of Electromagnetic Field, Czech Technical University in Prague, Czech Republic

    Abstract— This paper presents the results from site-specific simulations of route diversityperformance in case of High Altitude Platform system, terrestrial system and satellite systemduring specific rain events. Based on the radar rainfall database, route diversity dependenceson altitude of transmitter were studied using the simulation tool. The main goal of the paperis to adopt concept for HAP systems from investigations of both terrestrial point-to-multipointsystems and satellite systems operating in millimeter frequency bands.

    1. INTRODUCTION

    The proper choice of the modeling approaches for electromagnetic wave propagation within themillimeter wave band is crucial. This is particularly due to the high cost of millimeter waveequipments associated with transmitting power. Considerably high attenuation can be causedby interaction of transmitted waves with rain drops. There can be found several approaches toenumeration and compensation of signal fades caused by rain [1, 2]. Investigations of millimeterwave propagation aspects have been conducted out within the frame of European internationalprojects such as CRABS [3] and COST Action 280 [4] and COST Action 297 [5]. Nevertheless,due to the variability of systems configurations, these models can be used only for investigationof alone terrestrial, satellite or High Altitude Platforms (HAPs) links. Spatial distribution of rainattenuation observed by users in the area 50 km×50 km from transmitter placed either at terrestrialmast (10 m above ground) or at HAP (deployed on quasi-stationary unmanned vehicles/airships inthe stratosphere at the altitude of 20 km) or at LEO satellite (altitude of 320 km) is depicted inFigure 1. These results clearly demonstrate, how particular systems are able to connect with usersbehind a rain event.

    One of the rain fade mitigating approaches used in millimeter waveband introduces a routediversity [2] — i.e., two joint links to one HAP station from two different ground localities — duringa storm, when a rain cell moves across the service area, any outage of a terminal can be avoided whenit is able to connect to two different HAP stations. Nevertheless [2], involves only the parametersgiven based on the measurements of Earth-space links within particular geographical localities.The paper brings a comparative study of modeling approaches for propagation of millimeter waveswithin rain events and their adaption to HAP systems. The rain database from the period of2002–2005 was utilized including 250 km × 250 km rain scans from Czech meteoradars (rain ratedistributions with 1 km grid resolution and 1 minute time steps). Particular results of HAP systemsimulations performed at the frequency of 48 GHz will be discussed. Two evaluation methods weretested based on simulation results: the first following terrestrial approaches [6] and the second onefrom the other side utilizing a satellite approach [2].

    (a) (b) (c) (d)

    Figure 1: (a) rain rate distribution in [mm/h] and corresponding rain attenuation in [dB] for coverage from(b) terrestrial transmitter; (c) HAP; (d) satellite.

  • PIERS ONLINE, VOL. 6, NO. 8, 2010 717

    2. SYSTEM PERFORMANCE COMPARISON

    Analyze of dependences of rain spatial parameters on system performance for both terrestrial andHAP systems was elaborately performed in [7] with the result — the rain spatial classification forthe evaluation of rain influences on terrestrial systems can be with particular corrections adaptedin the case of stratospheric systems. Let us now consider a dependence of transmitter altitude.At first, performance of two joint links was analyzed for terrestrial, HAP and satellite systems.Common transmitting frequency of 48GHz was assumed (the frequency allocated worldwide toHAP systems [8]). Significant rain events recorded by meteoradars in the Czech Republic on 13thof July 2002 was chosen from the rain database [9]. In Figure 2, an illustrative example fromperformed analyses — diversity gain dependences on angular separations of route diversity links(the main link length 20 km and the diversity link length 40 km) are depicted. As it can be seen,utilization of route diverzity is very efficient in case of terrestrial systems. In case of HAP systems,diverzity gain concept can be utilized for statistically shorter time a year (see example of results inFigure 2(b)). Nevertheless, it was observed that the HAP system with a particular route diversityscheme is able to efficiently combat the rain attenuation.

    Contrary to terrestrial and HAP systems, links of satellite systems cross due to the high ele-vations rainy layer only within near proximity of user (note the average rain height determinedfor Europe is of 3.36 km [10]). This has impact on used route diversity scheme, where diversitygains are substantially smaller (see Figure 2(c)). In next step, a diversity gain was determinedbased on base station altitude. Example for approximately 5 hour rain event is shown in Figure 3.There can be clearly demonstrated iterative approaches from terrestrial and satellite models toHAP systems. From simulations of 3 year period (years 2002–2004), it was derived that terres-trial models can be applied with very slight deviances in results for transmitter up to altitudes of1–10 kilometers. For higher altitudes route diversity expressed by diversity gain becomes differen-tiate (in most cases rapidly decreases) for more than 3 dB. This follows gradually with increasingaltitude. Surprisingly, it was observed HAP systems propagation dependences statistical behavior

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    Figure 2: Example of time dependence of diverzity gain for (a) terrestrial system; (b) HAP system; (c)satellite system.

    Figure 3: Dependence of diversity gain on altitude.

  • PIERS ONLINE, VOL. 6, NO. 8, 2010 718

    has higher correlation with terrestrial link statistics (correlation coefficient 0.85) than with satellitelink statistics (correlation coefficient 0.14).

    3. CONCLUSIONS

    Rain represents one of the main limitations of millimeter wave band systems regardless altitudeof transmitter. In the paper, a comparison of route diversity utilization for terrestrial, HAP andsatellite links was accomplished based on actual rainfall radar data. HAP link statistics proved tobe more related to terrestrial ones than to satellite statistics. Based on the results discussed in thispaper, detailed relationships on altitudes of transmitter will be subsequently derived.

    ACKNOWLEDGMENT

    The simulations and presentation of results were supported by Czech Science Foundation grant102/08/P346. The research is a part of the activities of the Department of Electromagnetic Fieldof the Czech Technical University in Prague in the frame of the research project No. OC09075 ofthe Ministry of Education, Youth and Sports of the Czech Republic.

    REFERENCES

    1. “Specific attenuation model for rain for use in prediction methods,” International Telecommu-nications Union, ITU-R Recommendation, 838.

    2. “Propagation data and prediction methods required for the design of Earth-space telecommu-nication systems,” International Telecommunications Union, ITU-R Recommendation, 618-8,2003.

    3. “Report from ACTS project 215 — Cellular radio access for broadband services (CRABS),”Propagation Planning Procedures for LMDS, 1999.

    4. Usman, I. S., M. J. Willis, and R. J. Watson, “Route diversity analysis and modelling for mil-limetre wave point to multi-point systems,” 1st Int. Workshop of COST Action 280, Jul. 2002.

    5. “COST297 — HAPCOS high altitude platforms for communications and other services,” [On-line], Available: http://www.hapcos.org/.

    6. “Propagation data and prediction methods required for the design of terrestrial line-of-sightsystems,” International Telecommunications Union, ITU-R Recommendation, 530-11, 2005.

    7. Zvanovec, S. and P. Pechac, “Validation of rain spatial classification for high altitude platformsystems,” IEEE Trans. on Antennas and Propagation, submitted for publication.

    8. “Preferred characteristics of systems in the fixed service using high-altitude platform stationsoperating in the bands 47.2–47.5GHz an 47.9–48.2 GHz,” ITU-R Recommendation F.1500,2000.

    9. Zvanovec, S. and P. Pechac, “Rain spatial classification for availability studies of point-to-multipoint systems,” IEEE Trans. on Antennas and Propagation, Vol. 54, No. 12, 3789–3796,2006.

    10. “Rain height model for prediction methods, international telecommunications union,” ITU-RRecommendation P.839-3, 2001.