无人机通信中基于短包传输的能/谱效折中优化  

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

作　　者：韩蕙竹 黄仰超[1] 胡航 安琪 刘世豪 HAN Huizhu;HUANG Yangchao;HU Hang;AN Qi;LIU Shihao(College of Information and Navigation,Air Force Engineering University,Xi’an 710077,China)

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077

出　　处：《系统工程与电子技术》2023年第9期2956-2964,共9页Systems Engineering and Electronics

基　　金：国家自然科学基金(61901509);空军工程大学校长基金(XZJK2019033)资助课题。

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。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.

关 键 词：无人机 认知 短包通信 频谱效率 能量效率 

分 类 号：TN924[电子电信—通信与信息系统]