电信科学 ›› 2023, Vol. 39 ›› Issue (8): 69-81.doi: 10.11959/j.issn.1000-0801.2023158

• 研究与开发 • 上一篇    

面向可伸缩视频编码传输的DDPG无人机服务增强机制

闫俊杰1, 朱亚新1, 冯艳茹2, 刘汉永3, 邓钧忆1, 王欢1   

  1. 1 广西科技大学电子工程学院,广西 柳州 545006
    2 山西应用科技学院,山西 太原 030062
    3 国家电网重庆市电力公司大足供电分公司,重庆 402360
  • 修回日期:2023-08-09 出版日期:2023-08-01 发布日期:2023-08-01
  • 作者简介:闫俊杰(1990- ),男,博士,广西科技大学电子工程学院讲师,主要研究方向为MEC、UAV通信、D2D 通信
    朱亚新(1998- ),女,广西科技大学电子工程学院硕士生,主要研究方向为 MEC、UAV通信、D2D通信
    冯艳如(1990- ),女,山西应用科技学院讲师,主要研究方向为信息传输及信息安全
    刘汉永(1992- ),女,国家电网重庆市电力公司大足供电分公司工程师,主要研究方向为区块链、网络安全、密码学、自动化、电网营销
    邓钧忆(1985- ),男,博士,广西科技大学电子工程学院助理研究员,主要研究方向为车联网、MEC
    王欢(1987- ),男,博士,广西科技大学电子工程学院副教授,主要研究方向为智能网络与信息安全、高可用软件
  • 基金资助:
    国家自然科学基金资助项目(62106053);广西自然科学基金资助项目(2022GXNSFBA035642);广西科技计划项目(2021AC19167);广西中青年教师基础能力提升项目(2022KY0325);广西中青年教师基础能力提升项目(2021KY0364)

UAV service enhancement mechanism deep deterministic policy gradient for scalable video coding transmission

Junjie YAN1, Yaxin ZHU1, Yanru FENG2, Hanyong LIU3, Junyi DENG1, Huan WANG1   

  1. 1 School of Electronic Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
    2 Shanxi College of Applied Science and Technology, Taiyuan 030062, China
    3 Dazu Power Supply Company of State Grid Chongqing Electric Power Company, Chongqing 402360, China
  • Revised:2023-08-09 Online:2023-08-01 Published:2023-08-01
  • Supported by:
    The National Natural Science Foundation of China(62106053);The Natural Science Foundation of Guangxi(2022GXNSFBA035642);Guangxi Science and Technology Planning Project(2021AC19167);The Basic Ability Enhancement Program for Young and Middle-aged Teachers of Guangxi(2022KY0325);The Basic Ability Enhancement Program for Young and Middle-aged Teachers of Guangxi(2021KY0364)

摘要:

无人机(UAV)因其机载存储、通信和计算能力成为未来空天地一体化网络的重要组成部分。然而,现有无人机辅助的边缘网络研究总是更多地从网络的视角出发,缺少从用户视角出发带来的变革。为此,从用户角度出发,提出一种面向可伸缩视频传输的DDPG无人机服务增强机制。首先,结合无人机提出一种基于可伸缩视频编码(SVC)的弹性视频传输方法,提高用户的差异化体验。其次,以最大化用户接收增强层视频的数量为目标,提出一种基于深度确定性策略梯度(DDPG)算法的无人机路径规划设计,保证UAV对热点区域增强覆盖的有效性。仿真结果表明,所提出的算法与深度Q网络(DQN)算法、最短路径(SP)算法相比,在不同的用户分布下得到的增强层数量平均分别可以提高47.9%、76.4%,该研究达到了热点区域覆盖增强和用户差异化体验的效果。

关键词: 深度确定性策略梯度, 无人机, 可伸缩视频编码, 路径规划

Abstract:

Unmanned aerial vehicles (UAV) are an important component of future air-space-ground integrated network due to their onboard storage, communication, and computing capabilities.However, existing research on UAV-assisted edge networks often focuses more on the network perspective and lacks consideration of user perspectives and their requirements.Therefore, a UAV service enhancement mechanism based on deep deterministic policy gradient (DDPG) for scalable video coding (SVC) transmission was proposed from the user’s perspective.Firstly, an elastic video transmission method based on SVC was proposed in conjunction with UAV to improve differentiated user experiences.Secondly, a UAV trajectory planning design based on the DDPG algorithm was proposed to maximize the number of users receiving enhanced layer videos and ensure effective coverage enhancement by UAV in hotspot areas.Simulation results show that compared with both the deep Q network (DQN) algorithm and shortest path (SP) algorithm under different user distributions, the proposed algorithm can increase the average number of enhanced layers received by 47.9% and 76.4%, respectively.This study successfully achieves improved coverage in hotspot areas while also providing differentiated user experiences through its proposed methods.

Key words: DDPG, UAV, SVC, trajectory planning

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