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The objectives of this project are to review and develop channel models, data and tools tailored for the design of High-Capacity Flexible Broadband Satellite Systems operating (Q/V and Ka Band) with a major focus on future system at Q/V Band. In particular,
The project’s aims are to the identify the challenges of migrating to Q/V band (e.g. severe atmospheric attenuation) and propose relevant solutions. Particular emphasis is given to
i) the modelling of the uncertainty of the required propagation models
ii) the development of a user friendly SW tool which implements the required optimization algorithms.
As a general rule, moving to higher frequencies provides greater bandwidth and thus higher potential data rates. However it is more demanding in terms of technology (and thus hardware costs), and ultimately more prone to the attenuation effects of atmospheric gases, clouds, rain and tropospheric turbulence.
The project outputs facilitate the design of a Ka and Q/V band broadband satellite system, which takes into account critical issues such as propagation uncertainty. It also proposes experiments for the thorough understanding of the behaviour of these systems under real atmospheric conditions.
The software tool for defining the propagation elements comprises of the following modules:
For a specific configuration (e.g. elevation angle, location, frequency) the module provides:
i) Prediction of Long-term statistics of Atmospheric Parameters.
ii) Extraction of Long-term statistics of Atmospheric Parameters or relevant input data from the ITU-R DBSG3.
Link budget calculations for selected links (which are statistically representative of the radio-climatological conditions over the coverage area), for a specific set of system parameters (e.g. EIRP of the transmitter, G/T of the receiving station, MODCOD scheme, etc.) Each estimate of the link budget is provided with the associate confidence interval.
The tool performs an optimisation of the radio link budget based on the range of expected parameter values (i.e. EIRP, location etc) and system performance targets ( i.e. availability, quality, etc)
The project is divided into three tasks:
i) Improvement/Development of the required propagation models, the associated modelling of the uncertainty of the predictions and implementation in SW procedures
ii) Development of optimisation algorithms
iii) Final design of the SW tool.
This project is currently undertaking the state-of-the-art review.