Title | ||
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Research on Millimeter Wave Communication Interference Suppression of UAV Based on Beam Optimization |
Abstract | ||
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To support high data rate urgent, millimeter-wave (mmWave) UAV is considered and the beam forming technology which can further improve the mmWave communication performance is adopted. In the scene of mmWave communications for UAV group, the interference signal from other UAV and the reflected signal from the airframe can cause the communication quality to decrease. Therefore, it is very important to study the beam anti-interference performance based on the beam optimization. In this paper, a spatial interference channel model is established for UAV groups, and the expression of signal to interference plus noise ratio (SINR) depended on codebook design and direction of arrival (DOA) is obtained. Based on this, the performance of the beam interference suppression based on codebook optimization is simulated and the results show that the proposed optimization method can effectively suppress the interference and improve the system performance. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-73447-7_51 | international conference on machine learning |
Field | DocType | Citations |
Interference (communication),Beamforming,Extremely high frequency,Pattern recognition,Direction of arrival,Computer science,Electronic engineering,Signal-to-interference-plus-noise ratio,Artificial intelligence,Interference (wave propagation),Beam (structure),Codebook | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Weizhi Zhong | 1 | 0 | 1.01 |
Lei Xu | 2 | 0 | 0.34 |
Xiaoyi Lu | 3 | 602 | 60.53 |
Lei Wang | 4 | 401 | 111.60 |