无人机数据链下行链路的时隙空分复用算法

Slot Space Division Multiplexing Algorithm for the Downlink of UAV Data Link

针对无人机数据链的下行链路,考虑波束空分复用、波束数目与节点功率限制的多维约束条件,以最大化下行链路总吞吐量为优化目标,构建了联合波束分配、时隙分配和功率控制的随机优化问题。基于李雅普诺夫优化方法,解析最优解的数学特征,提出了一种低复杂度的联合波束分配和功率控制的时隙空分复用算法。最后,将所提方法与基于功率控制的时隙分配算法、联合波束分配和恒定功率的时隙空分复用算法进行了对比,仿真结果表明,所提方法能够显著提升网络吞吐量,降低接入时延。

Aiming at the downlink of UAV(Unmanned Aerial Vehicle)data link,considering multi-dimensional constraints of beam space division multiplexing,beams number,and node power limitation,a stochastic optimization problem of joint beam assignment,slot allocation,and power control is formulated,which aims to maximize the total throughput of UAV downlinks.Based on the Lyapunov optimization method,this paper analyzes the mathematical structures of the optimal solution,and proposes a low-complexity slot space division multiplexing algorithm with joint beam assignment and power control.Finally,the proposed method is compared with a slot allocation algorithm based on power control and a slot space division multiplexing algorithm with joint beam assignment and fixed power.Simulation results indicate that the proposed method can significantly improve the network throughput and decrease the access delay.