Abstract: The present invention relates to satellite systems and more particularly, to the provision of a satellite system and method for communications applications, with global coverage. An optimal method of providing global broadband connectivity has been discovered which uses two different LEO constellations with inter-satellite links among the satellites in each constellation, and inter-satellite links between the constellations. The first constellation is deployed in a polar LEO orbit with a preferred inclination of 99.5 degrees and a preferred altitude of 1000 km. The second constellation is deployed in an inclined LEO orbit with a preferred inclination of 37.4 degrees and a preferred altitude of 1250 km.

Abstract: Systems, methods and techniques are presented for discovering optimal solutions to satisfy communication traffic demands to a NGSO and GSO satellite constellations used for telecommunication. When multiple ground demands (mobile and stationary) are present, a satellite constellation requires an assignment of satellite resources to optimally match the ground demands. The systems, methods and techniques presented can utilize an optimization structure to maximize the objective function, using linear programming in combination with simulation and predictive features. The techniques presented determine optimal or quasi-optimal allocation of scarce and highly constrained satellite resources in an efficient manner. These techniques take into account maximizing capacity while protecting other geostationary and non-geostationary networks.

Abstract: The present invention relates to satellite systems and more particularly, to the provision of a satellite system and method for communications applications, with global coverage. An optimal method of providing global broadband connectivity has been discovered which uses two different LEO constellations with inter-satellite links among the satellites in each constellation, and inter-satellite links between the constellations. The first constellation is deployed in a polar LEO orbit with a preferred inclination of 99.5 degrees and a preferred altitude of 1000 km. The second constellation is deployed in an inclined LEO orbit with a preferred inclination of 37.4 degrees and a preferred altitude of 1250 km.

Abstract: The present invention relates to satellite systems and more particularly, to the provision of a satellite system and method for communications applications, with global coverage. An optimal method of providing global broadband connectivity has been discovered which uses two different LEO constellations with inter-satellite links among the satellites in each constellation, and inter-satellite links between the constellations. The first constellation is deployed in a polar LEO orbit with a preferred inclination of 99.5 degrees and a preferred altitude of 1000 km. The second constellation is deployed in an inclined LEO orbit with a preferred inclination of 37.4 degrees and a preferred altitude of 1250 km.

Abstract: The present invention relates to satellite systems and more particularly, to the provision of a satellite system and method for communications applications, with global coverage. An optimal method of providing global broadband connectivity has been discovered which uses two different LEO constellations with inter-satellite links among the satellites in each constellation, and inter-satellite links between the constellations. The first constellation is deployed in a polar LEO orbit with a preferred inclination of 99.5 degrees and a preferred altitude of 1000 km. The second constellation is deployed in an inclined LEO orbit with a preferred inclination of 37.4 degrees and a preferred altitude of 1250 km.

Abstract: Systems, methods and techniques are presented for discovering optimal solutions to satisfy communication traffic demands to a NGSO and GSO satellite constellations used for telecommunication. When multiple ground demands (mobile and stationary) are present, a satellite constellation requires an assignment of satellite resources to optimally match the ground demands. The systems, methods and techniques presented can utilize an optimization structure to maximize the objective function, using linear programming in combination with simulation and predictive features. The techniques presented determine optimal or quasi-optimal allocation of scarce and highly constrained satellite resources in an efficient manner. These techniques take into account maximizing capacity while protecting other geostationary and non-geostationary networks.