5G异构通信网络无人机智能化部署

An intelligent deployment scheme of UAVs in 5G heterogeneous communication network

随着下一代移动通信系统特别是5G网络对高性能的严格要求,设备容量和区域覆盖已成为关键问题,它需要服务提供商建设更多基站;然而,新基站耗资巨大,而且需要网络规划。在现有的移动通信网络系统中有效使用无人机(UAVs)是一个很好的解决途径。描述了精准和高效的UAVs智能化部署方案,以增加无线网络设备容量和区域覆盖;利用优先权策略和熵的方法定义了相应的网络协议,将UAVs智能化精确地映射到所需要的区域,大幅度提高网络性能,在吞吐量、用户设备(UE)容量、5G无线电频谱效率、网络的延迟和用户信噪比等方面,较现有的基于神经网络方法有重大的改善和提高。

with hard requirements of high performance for the next generation mobile communication systems, especially 5G networks, the capacity and coverage have been the crucial problem which requires the deployment of more stations by the service providers. However, this deployment of new stations is not cost effective and requires network replanning. This issue can easily be overcome by the use of Unmanned Aerial Vehicles （UAVs） in the existing communication system. An intelligent solution is presented for the accurate and e cient placement of the UAVs with respect to the demand areas resulting in the increase in the capacity and coverage of the wireless networks. The proposed approach utilizes the priority-wise dominance and the entropy approaches for providing solutions to the two problems considered in this paper. Finally, network bargaining is de ned over these solutions to accurately map the UAVs to the desired areas resulting in the signi cant improvement of the network parameters, namely, throughput, per User Equipment （UE） capacity, 5th spectral e ciency, network delays and guaranteed signal to interference plus noise ratio respectively in comparison with the existing neural approach.