The integration of optical satellite links in the next-generation networks and in the fifth generation cellular systems has been proposed in order to guarantee the handling of the extreme data traffic growth and the high-pitched demand for networks’ resources. The optical satellite communication downlink is studied and more specifically, a geostationary satellite with multiple transmitters and an optical ground station with multiple receiving terminals are considered. In this contribution a novel power allocation methodology is proposed for the downlink. The allocation methodology takes into account the scintillation effects due to atmospheric turbulence and maximizes the ergodic network capacity under total expected power and peak power constraints. The analytical optimizing schemes are based on convex optimization methods and have been inspired by waterfilling algorithm. We present emulated power allocation results using real experimental downlink data from ARTEMIS optical satellite campaign and then we investigate the performance of the proposed algorithm with extended numerical results and comparison with other allocation policies. In particular, the new power allocation strategy achieves the highest spectral efficiency, according to the power constraints, for various channel conditions and attenuation profiles and also surpasses two simple baseband allocation methods by intelligently taking advantage of the number of channels and the total expected power.

为了保证处理极端的数据业务增长和对网络资源的高要求，已经提出了在下一代网络和第五代蜂窝系统中集成光学卫星链路的建议。研究了光卫星通信下行链路，更具体地说，考虑了具有多个发射机的地球同步卫星和具有多个接收终端的光学地面站。在该贡献中，提出了一种用于下行链路的新颖的功率分配方法。分配方法考虑了由于大气湍流引起的闪烁效应，并在总预期功率和峰值功率约束下最大化了遍历网络的容量。解析优化方案基于凸优化方法，并受到注水算法的启发。我们使用来自ARTEMIS光学卫星战役的真实实验下行链路数据展示了模拟的功率分配结果，然后我们使用扩展的数值结果并与其他分配策略进行比较，研究了所提出算法的性能。特别是，根据功率约束，新的功率分配策略可针对各种信道条件和衰减曲线实现最高频谱效率，并且通过智能地利用信道数和总预期功率，还超过了两种简单的基带分配方法。我们使用来自ARTEMIS光学卫星战役的真实实验下行链路数据展示了模拟的功率分配结果，然后我们使用扩展的数值结果并与其他分配策略进行比较，研究了所提出算法的性能。特别是，根据功率约束，新的功率分配策略可针对各种信道条件和衰减曲线实现最高频谱效率，并且通过智能地利用信道数和总预期功率，还超过了两种简单的基带分配方法。我们使用来自ARTEMIS光学卫星战役的真实实验下行链路数据展示了模拟的功率分配结果，然后我们使用扩展的数值结果并与其他分配策略进行比较，研究了所提出算法的性能。特别是，根据功率约束，新的功率分配策略可针对各种信道条件和衰减曲线实现最高频谱效率，并且通过智能地利用信道数和总预期功率，还超过了两种简单的基带分配方法。