Abstract
In recent years, multi-spot-beam satellite communication systems have played a key role in global seamless communication. However, satellite power resources are scarce and expensive, due to the limitations of satellite platform. Therefore, this paper proposes optimizing the power allocation of each user in order to improve the power utilization efficiency. Initially the capacity allocated to each user is calculated according to the satellite link budget equations, which can be achieved in the practical satellite communication systems. The problem of power allocation is then formulated as a convex optimization, taking account of a trade-off between the maximization of the total system capacity and the fairness of power allocation amongst the users. Finally, an iterative algorithm based on the duality theory is proposed to obtain the optimal solution to the optimization. Compared with the traditional uniform resource allocation or proportional resource allocation algorithms, the proposed optimal power allocation algorithm improves the fairness of power allocation amongst the users. Moreover, the computational complexity of the proposed algorithm is linear with both the numbers of the spot beams and users. As a result, the proposed power allocation algorithm is easy to be implemented in practice.
Highlights
As an important complement of the terrestrial networks, satellite communication systems provide service to users in several scenarios where terrestrial networks cannot be used
Due to the limitations of the satellite platform, it is known that the satellite power resources are scarce and expensive
In [2] the problem of power allocation was formulated as an optimization problem, which is shown to be convex
Summary
As an important complement of the terrestrial networks, satellite communication systems provide service to users in several scenarios where terrestrial networks cannot be used. In modern satellite communication systems the multi-spotbeam technique has been widely applied, due to its advantage of concentrating the energy on a small area to provide high data rate to the users and reusing the same frequency to increase the total system capacity [1]. It is necessary to optimize the power allocation to each user to satisfy its traffic demand. In order to improve the total system capacity, a method of selecting a small number of active beams was proposed in [5], while keeping the fairness of power allocation amongst the beams. In [6], a joint power and bandwidth allocation algorithm was proposed The algorithm improved both the total system capacity and the fairness amongst the beams, due to the dynamic allocation of both the power and bandwidth resource. In [7] a power allocation algorithm was proposed to stabilize the total system capacity even if the channel model and the specific arrival rates were unknown, as long as the arrival rate
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