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WANG Bowen, ZHENG Jian, SUN Yanjing, HU Wenxin, NIE Tong, WANG Jingjing. Partially Overlapping Channels Dynamic Allocation Method for UAV Ad-hoc Networks in Emergency Scenario[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240377
Citation: WANG Bowen, ZHENG Jian, SUN Yanjing, HU Wenxin, NIE Tong, WANG Jingjing. Partially Overlapping Channels Dynamic Allocation Method for UAV Ad-hoc Networks in Emergency Scenario[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240377

Partially Overlapping Channels Dynamic Allocation Method for UAV Ad-hoc Networks in Emergency Scenario

doi: 10.11999/JEIT240377
Funds:  The National Natural Science Foundation of China (62101556)
  • Received Date: 2024-05-14
  • Rev Recd Date: 2024-09-02
  • Available Online: 2024-09-09
  • The Flying Ad-hoc NETworks (FANETs) are widely used in emergency rescue scenarios due to their high mobility and self-organization advantages. In emergency scenarios, a large number of user paging requests lead to a challenging coordination between the surge in local traffic and the limited spectrum resources, significant channel interference issues in FANETs are resulted from. There is an urgent need to extend the high spectrum utilization advantage of Partially Overlapping Channels (POCs) to emergency scenarios. However, the adjacent channel characteristics of POCs leads to complex interference that is difficult to characterize. Therefore, partial overlapping channel allocation methods in FANETs are studied in this paper. By utilizing geometric prediction to reconstruct time-varying interference graphs and characterizing the POCs interference model with the interference-free minimum channel spacing matrix, a Dynamic Channel Allocation algorithm for POCs based on Upper Confidence Bounds (UCB-DCA) is proposed. This algorithm aims to solve for an approximately optimal channel allocation scheme through distributed decision-making. Simulation results demonstrate that the algorithm achieves a trade-off between network interference and channel switching times, and has good convergence performance.
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