A large scale, high resolution channel model for propagation impairment techniques design and optimization

Jeannin, Nicolas; Castanet, Laurent; Lemorton, J.; Féral, Laurent; Sauvageot, Henri; Lacoste, F.

doi:10.1109/iwssc.2008.4656760

Cited by 5 publications

(4 citation statements)

References 12 publications

(16 reference statements)

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“…The physical layer mechanisms like channel estimation, terminal switching modes, mode prediction information etc are modeled separately in MATLAB and the interface files provided as inputs to the OPNET model. The rain attenuation time series used for emulating the channel conditions at Ka band were obtained using a space-time rain field model developed by ONERA [6]. A sample time series used in the simulation is shown in Fig.8.…”

Section: B Dynamic Rrm-algorithmmentioning

confidence: 99%

Dynamic Radio Resource Management for DVB-RCS systems using FMT at Ka band

Aroumont

Radzik

Bousquet

et al. 2009

2009 International Workshop on Satellite and Space Communications

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This paper presents the work conducted as part of doctoral research carried out at ISAE and ONERA on dynamic Radio Resource Management techniques for DVB-RCS systems using Fade Mitigation Techniques at Ka band. For a system using Adaptive Coding and Modulation at its physical layer the problem of optimally apportioning the satellite carriers' among the many different waveforms, or modes, available becomes crucial to its efficiency. In current DVB-RCS systems the carriers' waveforms are defined during system design. In this work a process to dynamically define carrier waveforms during system operation, based on prevailing traffic and propagation conditions, is proposed whereby the system available capacity, and QoS are shown, via simulations, to improve compared to a static definition.

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Section: B Dynamic Rrm-algorithmmentioning

confidence: 99%

Dynamic Radio Resource Management for DVB-RCS systems using FMT at Ka band

Aroumont

Radzik

Bousquet

et al. 2009

2009 International Workshop on Satellite and Space Communications

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“…This distribution could be obtained by using images of precipitation over the coverage area. These images could be in the form of radar images (Met office Networks) or numerical weather forecast models [8], or Space-Time channel models [9]. The approach using radar images looks promising and is being investigated.…”

Section: Prediction Of Propagation Conditionsmentioning

confidence: 99%

DVB-RCS return link Radio Resource Management for Broadband Satellite systems using fade mitigation techniques at Ka band

Aroumont

Radzik

Bousquet

et al. 2008

2008 IEEE International Workshop on Satellite and Space Communications

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Current Broadband Satellite systems supporting DVB-RCS at Ku band have static physical layer in order not to complicate their implementation. However at Ka band frequencies and above an adaptive physical layer wherein the physical layer parameters are dynamically modified on a per user basis is necessary to counteract atmospheric attenuation. Satellite Radio Resource Management (RRM) at the Medium Access Control (MAC) layer has become an important issue given the emphasis placed on Quality of Service (QoS) provided to the Users. The work presented here tackles the problem of Satellite RRM for Broadband Satellite systems using DVB-RCS where a fully adaptive physical layer is envisaged at Ka band frequencies. The impact of adaptive physical layer and user traffic conditions on the MAC layer functions is analyzed and an algorithm is proposed for the RRM process. Various physical layer issues associated with the resource management problem are also analyzed.

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“…This paper also considers European Organisation for the Exploitation of Meteorological Satellites data to establish a dynamic optimisation suitable for broadcasting applications. Another work that makes use of ECMWF data, in this case to model spatially and temporally correlated rain fields, is described in [11]. The authors of [12] propose a method to de-integrate, both in time and space, the spatial correlation information derived from networks of rain-gauges with long integration time or from meteorological data (radar or numerical weather prediction) with coarse spatial or temporal resolution so that they can be applied to estimate the high-resolution spatial correlation of rain.…”

Section: Introductionmentioning

confidence: 99%

Large‐scale correlation of rainfall rate based on data from Spanish sites

Garcia‐del‐Pino

Benarroch

Riera

2014

Satell Commun Network

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SUMMARY Modern and future satellite systems working in the Ka and Q/V bands often require the application of site diversity to mitigate the degradations caused by rain. Satellite systems operating in these bands may make use of multi‐beam techniques to provide high‐capacity services. To achieve an efficient performance in both techniques, precise information is necessary on the occurrence of simultaneous rain fades in various links under a given satellite coverage. This is attained through the knowledge of the spatial characteristics of rainfall rate over the area of interest. The availability of a large database of rain gauge data from about 50 sites in Spain has allowed the undertaking of a study on the large‐scale spatial distribution of rainfall rate. Joint distributions and correlation parameters have been investigated for pairs of sites, and experimental results have been compared with predictions based on the ITU‐R site diversity model, obtaining the best results when stratiform rainfall is dominant in both sites. Some statistical dependence has been found even for distances above 700 km. The values obtained from the statistical analysis have been represented taking a given site as reference in maps of contour lines using standard mapping procedures. Correlation parameters are expected to decrease with distance; however, the contour maps reveal a significant influence of climatic and geographic factors such as weather fronts, orography or the proximity to the sea. The statistics and maps obtained are useful to optimise both power sharing in multi‐beam satellite systems and the application of site diversity. Copyright © 2014 John Wiley & Sons, Ltd.

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A large scale, high resolution channel model for propagation impairment techniques design and optimization

Cited by 5 publications

References 12 publications

Dynamic Radio Resource Management for DVB-RCS systems using FMT at Ka band

Dynamic Radio Resource Management for DVB-RCS systems using FMT at Ka band

DVB-RCS return link Radio Resource Management for Broadband Satellite systems using fade mitigation techniques at Ka band

Large‐scale correlation of rainfall rate based on data from Spanish sites

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