AG‐DPA: Assignment game–based dynamic power allocation in multibeam satellite systems,International Journal of Satellite Communications and Networking

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AG‐DPA: Assignment game–based dynamic power allocation in multibeam satellite systems
International Journal of Satellite Communications and Networking ( IF 0.9 ) Pub Date : 2019-05-17 , DOI: 10.1002/sat.1310
Shuaijun Liu ₁ , Yuanyuan Fan ₁ , Yuemei Hu ₁ , Dapeng Wang ₁ , Lixiang Liu ₁ , Longfei Gao ₁

Affiliation

Dynamic power allocation is the key technology to maintain the link quality and improve the system throughput in multibeam satellite systems. Many numerical optimization algorithms have been proposed to optimize the power allocation schemes among beams. However, current metaheuristic algorithms, most of which are off‐line iterative methods, are not appropriate in nonuniform traffic demands and time‐varying channels due to the high computational complexity. To solve this problem, an assignment game–based dynamic power allocation (AG‐DPA) is proposed to achieve the suboptimality with low complexity in multibeam satellite systems. The key idea of the proposed AG‐DPA is to model the DPA problem into an assignment game model where the competitive equilibrium is achieved. Further, an adaptive price factor is introduced to make a trade‐off between algorithm performance and complexity. Simulation results show the effectiveness of the proposed AG‐DPA algorithm.

中文翻译：

AG‐DPA：多波束卫星系统中基于分配游戏的动态功率分配

动态功率分配是在多波束卫星系统中保持链路质量和提高系统吞吐量的关键技术。已经提出了许多数值优化算法来优化波束之间的功率分配方案。但是，由于计算复杂度高，当前的元启发式算法（大多数都是离线迭代方法）不适用于流量需求不均和时变信道。为了解决这个问题，提出了一种基于分配博弈的动态功率分配（AG-DPA），以在多波束卫星系统中实现低复杂度的次优性。拟议中的AG-DPA的关键思想是将DPA问题建模为分配模型，从而实现竞争均衡。进一步，引入了自适应价格因素，以在算法性能和复杂性之间进行权衡。仿真结果表明了所提出的AG-DPA算法的有效性。

更新日期：2019-05-17

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