Abstract

Multi-spot-beam technique has been widely applied in modern satellite communication systems. However, the satellite power and bandwidth resources in a multi-spot-beam satellite communication system are scarce and expensive; it is urgent to utilize the resources efficiently. To this end, dynamically allocating the power and bandwidth is an available way. This paper initially formulates the problem of resource joint allocation as a convex optimization problem, taking into account a compromise between the maximum total system capacity and the fairness among the spot beams. A joint bandwidth and power allocation iterative algorithm based on duality theory is then proposed to obtain the optimal solution of this optimization problem. Compared with the existing separate bandwidth or power optimal allocation algorithms, it is shown that the joint allocation algorithm improves both the total system capacity and the fairness among spot beams. Moreover, it is easy to be implemented in practice, as the computational complexity of the proposed algorithm is linear with the number of spot beams.

Highlights

  • In recent years, the multi-spot-beam technique has played an important role in the satellite communication systems, as it can supply higher power density to a particular spot beam and construct flexible service networks

  • The minimal traffic demand of each spot beam caused by the delay constraint is 20% of traffic demand

  • To show the convergence behavior of the proposed joint allocation algorithm, we first assume that the channel condition of each spot beam is the same and the normalized noise power spectral density parameter N0/αi2 is 0.2e−6

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Summary

Introduction

The multi-spot-beam technique has played an important role in the satellite communication systems, as it can supply higher power density to a particular spot beam and construct flexible service networks. The above works proved that it was needed to allocate more resources to the spot beam with higher traffic demand to get fairness among spot beams; the total system capacity decreased, due to the concavity of the capacity function with a fixed power or bandwidth allocation. To overcome this drawback, in this paper we propose a joint bandwidth and power allocation algorithm.

Mathematical Formulation of Joint Bandwidth and Power Allocation
Proposed Optimal Joint Bandwidth and Power Allocation Algorithm
Simulation Results and Analysis
Conclusion
Full Text
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