无人机辅助蜂窝网络中的无人机与用户协同缓存算法

张天魁; 陈超; 王子端; 杨鼎成

doi:10.11959/j.issn.1000-436x.2020029

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无人机辅助蜂窝网络中的无人机与用户协同缓存算法

学术论文 | 更新时间：2024-06-05

- 无人机辅助蜂窝网络中的无人机与用户协同缓存算法
- Cooperative caching algorithm of UAV and user in UAV-assisted cellular network
- 通信学报 2020年41卷第9期页码：130-138
- 作者机构：
  
  1. 北京邮电大学通信与信息工程学院，北京 100876
  2. 南昌大学信息工程学院，江西南昌 330031
- 作者简介：
  
  [ "张天魁（1980- ），男，黑龙江哈尔滨人，博士，北京邮电大学教授、博士生导师，主要研究方向为应急通信网络技术、无人机通信网络、移动边缘计算与缓存、未来网络融合与管理、大规模天线与协作通信、无线资源管理技术等" ]
  [ "陈超（1995- ），女，江苏南京人，北京邮电大学硕士生，主要研究方向为边缘缓存与无人机通信" ]
  [ "王子端（1996- ），男，河北石家庄人，北京邮电大学硕士生，主要研究方向为无人机通信、非正交多址接入技术与边缘缓存" ]
  [ "杨鼎成（1985- ），男，江西樟树人，博士，南昌大学教授、硕士生导师，主要研究方向为无人机通信、无线资源管理" ]
- 基金信息：
  
  国家自然科学基金资助项目(61971060)
- DOI：10.11959/j.issn.1000-436x.2020029
  中图分类号： TP393
- 网络出版日期：2020-09，
  
  纸质出版日期：2020-09-25
- 稿件说明：
移动端阅览
张天魁, 陈超, 王子端, 等. 无人机辅助蜂窝网络中的无人机与用户协同缓存算法[J]. 通信学报, 2020,41(9):130-138.

Tiankui ZHANG, Chao CHEN, Ziduan WANG, et al. Cooperative caching algorithm of UAV and user in UAV-assisted cellular network[J]. Journal on communications, 2020, 41(9): 130-138.
张天魁, 陈超, 王子端, 等. 无人机辅助蜂窝网络中的无人机与用户协同缓存算法[J]. 通信学报, 2020,41(9):130-138. DOI： 10.11959/j.issn.1000-436x.2020029.

Tiankui ZHANG, Chao CHEN, Ziduan WANG, et al. Cooperative caching algorithm of UAV and user in UAV-assisted cellular network[J]. Journal on communications, 2020, 41(9): 130-138. DOI： 10.11959/j.issn.1000-436x.2020029.

摘要

针对无人机辅助蜂窝网络中的海量数据内容传输与无人机无线回程带宽受限这一矛盾，提出了一种无人机与用户协同缓存算法。通过在无人机以及用户设备上部署存储设备，将用户请求的热点内容缓存后进行共享分发，以减少无人机回程链路资源与能量开销，减轻业务负载并降低用户时延。以用户内容获取时延最小化为目标建立了无人机与用户缓存联合优化问题，将其分解为无人机缓存子问题与用户缓存子问题，并分别基于交替方向乘子法和全局贪婪算法进行求解，通过迭代获得收敛的优化结果，实现了无人机与用户的协同缓存。仿真结果表明，所提算法能够有效降低用户的内容获取时延，提升系统性能。

Abstract

Aiming at the problem of mass data content transmission and limited wireless backhaul resource of UAV in UAV-assisted cellular network

a cooperative caching algorithm for cache-enabled UAV and user was proposed.By deploying caches on UAV and user device

the popular content requested by user was cached and delivered

which alleviated the backhaul resource and energy consumption of UAV

reduced the traffic load and user delay.A joint optimization problem of UAV and user caching was established with the goal of minimizing user content acquisition delay

and decomposed into UAV caching sub-problem and user caching sub-problem

which were solved based on alternating direction method of multiplier and global greedy algorithm respectively.The iterative way was used to obtain convergent optimization result

and the cooperative caching of UAV and user was realized.Simulation results show that the proposed algorithm can effectively reduce user content acquisition delay and improve system performance.

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Keywords

references

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