基于Ricean因子的无人机自适应MIMO通信方案
发布时间：2019-06-09 17:30
【摘要】：为了进一步提升无人机的通信容量,针对无人机信道的特点,提出了一种基于Ricean因子的无人机自适应MIMO通信方案.该方案利用了波束赋形(beamforming,BF)和空分复用(spatial multiplexing,SM)两种MIMO技术,通过Ricean因子实现BF与SM的自适应切换,并推导出了切换门限值的闭式表达式.相较于传统的无人机通信,该方案获得了更大的通信容量,且在高信噪比时容量提升显著.而与最优MIMO方案相比,所提出的自适应MIMO方案降低了计算复杂度.仿真表明,所提出的自适应通信方案可以进一步提高无人机通信容量.
[Abstract]:In order to further improve the communication capacity of UAV, an adaptive MIMO communication scheme based on Ricean factor is proposed according to the characteristics of UAV channel. In this scheme, beamforming (beamforming,BF) and space division multiplexing (spatial multiplexing,SM) are used to realize the adaptive switching between BF and SM by Ricean factor, and the closed expression of switching threshold value is derived. Compared with the traditional UAV communication, this scheme obtains larger communication capacity, and the capacity increases significantly at high signal-to-noise ratio (SNR). Compared with the optimal MIMO scheme, the proposed adaptive MIMO scheme reduces the computational complexity. Simulation results show that the proposed adaptive communication scheme can further improve the communication capacity of UAV.
【作者单位】： 西安电子科技大学综合业务网理论及关键技术国家重点实验室;
【基金】：国家自然科学基金资助项目(编号:61401330,61371127) 国家111计划资助项目(编号:B08038) 中央高校基本科研业务经费资助项目(编号:7214603701)
【分类号】：TN919.3;V279
，
本文编号：2495741
[Abstract]:In order to further improve the communication capacity of UAV, an adaptive MIMO communication scheme based on Ricean factor is proposed according to the characteristics of UAV channel. In this scheme, beamforming (beamforming,BF) and space division multiplexing (spatial multiplexing,SM) are used to realize the adaptive switching between BF and SM by Ricean factor, and the closed expression of switching threshold value is derived. Compared with the traditional UAV communication, this scheme obtains larger communication capacity, and the capacity increases significantly at high signal-to-noise ratio (SNR). Compared with the optimal MIMO scheme, the proposed adaptive MIMO scheme reduces the computational complexity. Simulation results show that the proposed adaptive communication scheme can further improve the communication capacity of UAV.
【作者单位】： 西安电子科技大学综合业务网理论及关键技术国家重点实验室;
【基金】：国家自然科学基金资助项目(编号:61401330,61371127) 国家111计划资助项目(编号:B08038) 中央高校基本科研业务经费资助项目(编号:7214603701)
【分类号】：TN919.3;V279
，
本文编号：2495741
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2495741.html
