A SPECTRUM PREDICTION METHOD BASED ON TWO-DIMENSIONAL HIDDEN MARKOV MODEL FOR UAV COMMUNICATIONS

被引:12
|
作者
Zhang Qixiang [1 ]
Luo Shan [1 ,2 ]
Liu Haibo [1 ]
Lin Rongping [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Peoples R China
[2] UESTC, Aircraft Swarm Intelligent Sensing & Cooperat Con, Chengdu 611731, Peoples R China
[3] UESTC, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
来源
2022 19TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2022年
基金
中国国家自然科学基金;
关键词
UAV communications; Spectrum prediction; 2D Hidden Markov model; Homotopy theory; MANAGEMENT;
D O I
10.1109/ICCWAMTIP56608.2022.10016483
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of unmanned aerial vehicle, the spectrum resources for communication become increasingly scarce. Spectrum sharing can alleviate this problem effectively, and spectrum prediction is the key step. The previous spectrum prediction models only consider the time domain variation and ignore the time-frequency correlation. In order to change this defect, we propose a new spectrum prediction model, which extends the traditional one-dimensional HMM model to the two dimensions of time-frequency. In addition, homotopy method is introduced to solve the strict dependence on historical spectrum data during UAV flight. Through simulation experiments, we verify that the new two-dimensional model has better prediction effect than the one-dimensional model, and has a good performance in the absence of sufficient prior information.
引用
收藏
页数:5
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