Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (8): 2133-2144.doi: 10.23940/ijpe.19.08.p13.21332144

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Resource Allocation Optimization of UAVs-Enabled Air-Ground Collaborative Emergency Network in Disaster Area

Lei Wua and Weijian Wangb   

  1. a School of Information Management, Beijing Information Science and Technology University, Beijing, 100192, China
    b College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150000, China
  • Submitted on ;
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Abstract: This paper aims to improve the efficiency of UAVs-enabled air-ground collaborative emergency networks through resource allocation optimization. The bandwidth assignment, UAVs' flight trajectories, and transmission power were jointly optimized to maximize the achievable signal rate of all terminal receivers in the downlink. The block coordinate descent method and successive convex approximation were utilized to solve the established mixed-integer non-convex optimization problem. Then, an emergency communication scenario was designed to run different emulation experiments, which were used to verify that the proposed algorithm was effective. Numerous results showed that the proposed algorithm can attain great performances in this scenario. Compared with single factor optimizing strategies, the users' signal rate can be improved by 5%-28% through joint optimization.

Key words: UAV, air-ground collaborative network, resource allocation, signal rate maximization, non-convex problem, mix-integer optimization