The key issue allowing the assessment of the performance of Flexible Systems consists of the system optimization leading to the optimum System Configuration, i.e. optimum Frequency, Polarization (and Power, if needed) Plans, which meet at best the target Capacity Requirements, generally non-uniformly distributed, with the assigned resources (Bandwidth and Power Budget).
Such optimization approach is envisaged to be carried out on a combinatorial basis by means of a hybrid procedure generally starting with a Genetic Algorithms step which is followed by a Neighbourhood Search refinement.
The optimization approach is intended to be of the constrained type in order to make the optimum System Configuration complying with the above mentioned performance and platform limitations.
When possible, parallel implementation is addressed in order to allow getting optimization results with acceptable computation time even for scenarios with high number of beams, otherwise prohibitive in terms of serial search.
Another key issue is assessing the level of flexibility of the system in terms of capability to fit changes in traffic distribution due to market evolution during satellite mission lifetime. This can be verified by making the system optimization to target different sets of capacity requirements which are representative of potential market developments over the selected coverage area on a specified time period.