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Volume 44 Issue 3
Mar.  2022
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SONG Yehui, DING Guoru, XU Chenglong, SUN Jiachen, TANG Peng. Communication Topology Inference Technology for Non-cooperative UAV Communication Network[J]. Journal of Electronics & Information Technology, 2022, 44(3): 924-939. doi: 10.11999/JEIT211410
Citation: SONG Yehui, DING Guoru, XU Chenglong, SUN Jiachen, TANG Peng. Communication Topology Inference Technology for Non-cooperative UAV Communication Network[J]. Journal of Electronics & Information Technology, 2022, 44(3): 924-939. doi: 10.11999/JEIT211410

Communication Topology Inference Technology for Non-cooperative UAV Communication Network

doi: 10.11999/JEIT211410
Funds:  The National Natural Science Foundation of China (61871398, 61901520, 61931011, U20B2038, 62171462), The Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province (BK20190030)
  • Received Date: 2021-12-01
  • Accepted Date: 2022-02-26
  • Rev Recd Date: 2022-02-25
  • Available Online: 2022-03-01
  • Publish Date: 2022-03-28
  • In confrontational environment, capturing the communication topology of the Unmanned Aerial Vehicles (UAV) communication network helps us to discover efficiently and destroy its cluster function. However, under non-cooperative conditions, the traditional priori information of topology is difficult to obtain, and communication topology inference faces huge challenges. Existing related research is still in its infancy as a whole, the system model and inference mechanism are not clear, and the comparison of various methods in the same data dimension is also rare. Therefore, for the non-cooperative physical scene, firstly the system model is constructed and the inference mechanism is revealed. Then, the four methods of correlation, Granger causality, transfer entropy and multidimensional Hawkes process are simulated and compared. Finally, the prospects for the development of this research direction are prospected.
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