UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach
Journal:
arXiv
Published Date:
Jan 10, 2025
Abstract
The low-altitude economy (LAE) plays an indispensable role in cargo
transportation, healthcare, infrastructure inspection, and especially
post-disaster communication. Specifically, unmanned aerial vehicles (UAVs), as
one of the core technologies of the LAE, can be deployed to provide
communication coverage, facilitate data collection, and relay data for trapped
users, thereby significantly enhancing the efficiency of post-disaster response
efforts. In this paper, we design an efficient and robust UAV-swarm enabled
collaborative self-organizing network to facilitate post-disaster
communications. Specifically, a ground device transmits data to UAV swarms,
which then use collaborative beamforming (CB) technique to form virtual antenna
arrays and relay the data to a remote access point (AP) efficiently. Then, we
formulate a rescue-oriented post-disaster transmission rate maximization
optimization problem (RPTRMOP). Then, we propose a two-stage optimization
approach to address it. In the first stage, the optimal traffic routing and the
theoretical upper bound on the transmission rate of the network are derived. In
the second stage, we transform the formulated RPTRMOP into a variant named
V-RPTRMOP, and a diffusion model-enabled particle swarm optimization (DM-PSO)
algorithm is proposed to deal with the V-RPTRMOP. Simulation results show the
effectiveness of the proposed two-stage optimization approach in improving the
transmission rate of the constructed network, which demonstrates the great
potential for post-disaster communications. Moreover, the robustness of the
constructed network is also validated via evaluating the impact of two
unexpected situations on the system transmission rate.
