系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2956-2964.doi: 10.12305/j.issn.1001-506X.2023.09.36

• 通信与网络 • 上一篇    下一篇

无人机通信中基于短包传输的能/谱效折中优化

韩蕙竹, 黄仰超, 胡航, 安琪, 刘世豪   

  1. 空军工程大学信息与导航学院, 陕西 西安 710077
  • 收稿日期:2021-12-06 出版日期:2023-08-30 发布日期:2023-09-05
  • 通讯作者: 胡航
  • 作者简介:韩蕙竹(1995—), 女, 硕士研究生, 主要研究方向为认知无人机网络、短包通信
    黄仰超(1977—), 男, 副教授, 博士, 主要研究方向为软件无线电、认知无线电、数据链技术
    胡航(1989—), 男, 副教授, 博士, 主要研究方向为认知无人机网络、绿色通信、认知数据链
    安琪(1994—), 女, 硕士研究生, 主要研究方向为认知无人机网络、无人机中继
    刘世豪(1999—), 男, 硕士研究生, 主要研究方向为空天通信与网络
  • 基金资助:
    国家自然科学基金(61901509);空军工程大学校长基金(XZJK2019033)

Energy-spectrum efficiency trade-off optimization based on short packet transmission in UAV communication

Huizhu HAN, Yangchao HUANG, Hang HU, Qi AN, Shihao LIU   

  1. College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
  • Received:2021-12-06 Online:2023-08-30 Published:2023-09-05
  • Contact: Hang HU

摘要:

在基于认知物联网的无人机(unmanned aerial vehicle, UAV)辅助通信中, 频谱效率(spectral efficiency, SE)和能量效率(energy efficiency, EE)的优化问题备受关注。针对低延迟高可靠性的通信需求, 分析认知UAV通信中的短包传输问题。与传统认知网络相比, 基于短包传输的通信存在不可忽视的包错误率。通过研究包错误率、感知时间和UAV发射功率对SE和EE的影响, 证明了SE和EE关于感知时间和发射功率的最大值无法同时获得。在此基础上, 提出高效的联合优化算法实现了SE/EE的折中优化。数值和仿真结果证明了理论分析的正确性, 并验证了所提算法的有效性。

关键词: 无人机, 认知, 短包通信, 频谱效率, 能量效率

Abstract:

In the cognitive internet of things (IoT) network, the trade-off between spectral efficiency (SE) and energy efficiency (EE) attract much attention in the unmanned aerial vehicle (UAV)-assisted communication system. In UAV communication network, short packet transmission is studied under the requirement of low latency and ultra-reliable. Compared with traditional cognitive networks, the communication based on short packet communication (SPC) has the packet error rate that cannot be ignored. By researching the effects of packet error rate, sensing time and transmission power on EE and SE, it is proved that the maximum value of SE and EE with respect to sensing time and transmission power cannot be obtained simultaneously. Then, an efficient combination optimization algorithm is proposed to maximize the trade-off between SE and EE. Numerical and simulation results show that the correctness of the theoretical analysis, and verify the effectiveness of the proposed algorithm.

Key words: unmanned aerial vehicle (UAV), cognitive, short packet communication (SPC), spectrum efficiency (SE), energy efficiency (EE)

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