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Author

Guifen Chen

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Jul 2026

Research on UAV self-organizing network coverage optimization based on an improved Hippo algorithm

This paper focuses on the coverage deployment optimization of self-organizing UAV networks in three-dimensional space and proposes an improved Hippopotamus Optimization Algorithm. Latin hypercube initialization, an adaptive convergence factor, and a tangential flight strategy are introduced to improve the uniformity of the initial population, enhance the balance between global exploration and local exploitation, and strengthen the ability to avoid local optima. Network connectivity constraints are further incorporated into the model to ensure the communication feasibility of the deployment scheme. Simulation results demonstrate that the proposed method can achieve higher coverage, a more uniform node distribution, and better convergence and stability while satisfying connectivity constraints.

Guifen Chen, Guoxing Lang · 0 citations
Jul 2026

Joint optimization of 3D deployment and power allocation for multi-UAV base stations

In temporary emergency communication coverage scenarios where terrestrial communication infrastructure is damaged or lacks sufficient capacity, UAVs equipped with base stations have emerged as an effective solution due to their flexible deployment and rapid response capability. However, in multi-UAV networks, the three-dimensional deployment of UAVs significantly affects air-to-ground link quality, while power allocation further determines the level of system interference and throughput performance. To address this issue, this paper considers a multi-UAV communication system and jointly takes into account user link reliability and service requirement satisfaction, thereby establishing a joint optimization model for QoS-constrained coverage and network throughput. To address the non-convex joint optimization problem, a problem-tailored dual-population cooperative NSGA-II framework, termed IDPC-NSGA-II, is developed. By coupling dual-population evolution, adaptive mutation, uncovered-user-guided local search, and interference-aware repair with the characteristics of multi-UAV emergency communications, the proposed method improves the trade-off between QoS-constrained coverage and network throughput. Simulation results in a representative emergency communication scenario show that the proposed method achieves a favorable trade-off between QoS-constrained coverage and throughput, and outperforms the compared algorithms under the considered network setting.

Guifen Chen, Ruiyang Liu · 0 citations