Abstract
Power demands of the transmission technologies for communication between LEO satellites are difficult to counterbalance by solar infeed and on-board battery storage, due to size and weight limitations in LEO. This makes the problem of battery-powered inter-satellite communication a very difficult one. Its management requires a profound understanding as well as techniques for a proper extrapolation of the electric power budget as part of the inter-satellite and satellite-to-ground communication design. We discuss how the construction of contact plans in delay tolerant networking can profit from a sophisticated model of the on-board battery behaviour. This model accounts for both nonlinearities in battery behaviour as well as stochastic fluctuations in charge, so as to control the risk of battery depletion. We take an hypothetical Ulloriaq constellation based on the GomX-4 satellites from GomSpace as a reference for our studies.
Highlights
T HERE is an increasing interest of the space community in deploying large-scale Low-Earth Orbit (LEO) networks with the purpose of providing timely access to information [1]
The impact on the battery charge of inter-satellite transponders used for inorbit networking has far been disregarded. To tackle this constellation-wide problem, we propose a Mixed Integer Linear Programming (MILP) model comprising store and forward network flow and linear battery abstractions from which battery-aware communication schedules can be derived
The objective function in (1) aims at obtaining an optimal traffic flow assignment, where later flows are penalized by a wt cost function that increases with time
Summary
T HERE is an increasing interest of the space community in deploying large-scale Low-Earth Orbit (LEO) networks with the purpose of providing timely access to information [1]. The contact plan design problem as a means to account for resource-constrained satellites was initially introduced by one of the authors in [3] Since it has received increasing attention from the community. Accurate power budget modeling requires a profound understanding and correct extrapolation of the battery behaviour, which is known to be non-linear In this sense, authors had addressed the battery-aware task scheduling problem for LEO satellites using detailed battery models [23], [24], but the proposed approach assumed a single (non-networked) satellite. The impact on the battery charge of inter-satellite transponders used for inorbit networking has far been disregarded To tackle this constellation-wide problem, we propose a Mixed Integer Linear Programming (MILP) model comprising store and forward network flow and linear battery abstractions from which battery-aware communication schedules can be derived.
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