Energy Efficiency Optimization in U2U Multicast Networks: A Hypergraph-Based Matching Approach

The energy issue of unmanned aerial vehicle (UAV) has received unprecedented attention recently. UAV-to-UAV multicast technology reduces transmit power through neighbor transmission, which is critical for saving energy and reducing information redundancy. This article investigates an energy efficiency optimization problem of the base station-UAVs system with the heterogeneous requirements of UAVs. The optimization problem is modelled as a weighted directed hypergraph matching game based on group preference, which is proven to achieve stable results. To address the topological change problem of UAV networks, a fast convergence algorithm is proposed in this article, which exhibits high stability when small fluctuations appear in the UAV topology. The proposed algorithm integrates the potential matching algorithm and local search, by which no-quota deferred acceptance can be realized. Compared with existing algorithms, the proposed algorithm improves throughput per energy consumption by more than 20%.