计算机科学 ›› 2019, Vol. 46 ›› Issue (11): 88-93.doi: 10.11896/jsjkx.190500106

• 网络与通信 • 上一篇    下一篇

无人机视频回传中的动态资源分配机制

贺超1,2, 谢智东1,2, 田畅1   

  1. (陆军工程大学通信工程学院 南京210007)1
    (军事科学院国防科技创新研究院 北京100071)2
  • 收稿日期:2019-05-20 出版日期:2019-11-15 发布日期:2019-11-14
  • 通讯作者: 谢智东(1984-),男,博士,副研究员,主要研究方向为人工智能,E-mail:xzd313@163.com
  • 作者简介:贺超(1982-),女,博士生,助理研究员,主要研究方向为视频传输质量保证,E-mail:doryhc@126.com;田畅(1963-),男,博士,教授,博士生导师,主要研究方向为数据链系统与信息感知。
  • 基金资助:
    本文受国家自然科学基金项目(91738201,61401507)资助。

Dynamic Resource Allocation for UAV Video Uploading

HE Chao1,2, XIE Zhi-dong1,2, TIAN Chang1   

  1. (College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China)1
    (National Innovation Institute of Defense Technology,Academy of Military Sciences of PLA,Beijing 100071,China)2
  • Received:2019-05-20 Online:2019-11-15 Published:2019-11-14

摘要: 无人机(Unmanned Aerial Vehicles,UAV)通过所携带的传感器实时获取图像和视频。特别地,多架无人机通过构成集群来协同工作,能够高效地完成侦察、感知、测绘等任务,在军事和民用领域都有广泛的应用。然而,无人机拍摄的视频均需要通过无线信道传输到地面站或控制中心,视频业务高清程度的不断提高和集群数量的不断增加,导致对无线信道传输速率的要求越来越高。因此,在有限的无线传输资源约束下,如何在无人机集群中分配资源,使得无人机集群回传视频的质量最大化,是亟需解决的问题。针对该问题,设计了一种分布式资源分配算法。首先,为了区分视频业务与普通数据业务,提出了一种面向用户体验质量的效用函数;然后,围绕该问题建立了势博弈模型,所有的用户仅基于很少的局部信息交互就可以不断独立更新其策略。该算法最终收敛于一组相关均衡,实现了无线资源在集群中的全局优化分配。从视频应用的角度出发,根据不同视频信号的特性,每个无人机用户能够智能地调整信道资源的使用,在有限的无线信道资源情况下,能够实现无人机集群总体效用的最大化。仿真结果表明,该算法能够同时为无线通信资源提供方和无人机视频用户带来便利。

关键词: 分布式算法, 势博弈, 视频业务, 无人机, 资源分配

Abstract: Unmanned Aerial Vehicles (UAV) can capture images and videos in real time by the sensors they carry.In particular,when a cluster of UAVs work together,they are able to efficiently complete reconnaissance,perception,mapping and other tasks,which make them widely used in both military and civil fields.However,all videos captured by UAVs need to be transmitted to the ground station or control center through wireless channels.The requirement of wireless channel transmission rate is higher and higher,along with video service definition unceasing enhancement and the cluster quantity continuous increase.Thus,under the constraint of limited wireless transmission resources,how to allocate them in the UAV cluster to maximize the uploading quality of videos has become an urgent problem to be solved.For this problem,a distributed algorithm was designed.In order to specify video from other data transmission,the QoE-oriented utility function is considered first.Then,around the problem,a potential game model is formulated and all the users can update their strategies with very little information exchange.The algorithm converges to a set of correlated equilibria and achieves the global optimal allocation of wireless resources in the cluster.This algorithm starts from the perspective of video application,and according to the properties of different video signals,each UAV can intelligently adjust the channel resource occupation.The highest total utility of the UAV cluster can be achieved under the limited wireless channel resources.Numeric simulation results indicate that it brings remarkable benefits to both resource providers and UAV video users.

Key words: Distributed algorithm, Potential game, Resource allocation, UAV, Video service

中图分类号: 

  • TN919
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