  For large unmanned aerial vehicle (UAV) networks, the timely communication is
needed to accomplish a series of missions accurately and effectively. The relay
technology will play an important role in UAV networks by helping drones
communicating with long-distance drones, which solves the problem of the
limited transmission power of drones. In this paper, the relay selection is
seen as the entry point to improve the performance of self-organizing network
with multiple optimizing factors. Different from the ground relay models, the
relay selection in UAV communication networks presents new challenges,
including heterogeneous, dynamic, dense and limited information
characteristics. More effective schemes with distributed, fast, robust and
scalable features are required to solve the optimizing problem. After
discussing the challenges and requirements, we find that the matching game is
suitable to model the complex relay model. The advantages of the matching game
in self-organizing UAV communications are discussed. Moreover, we provide
extensive applications of matching markets, and then propose a novel
classification of matching game which focuses on the competitive relationship
between players. Specifically, basic preliminary models are presented and some
future research directions of matching game in UAV relay models are discussed.
