Abstract
Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.
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