  Wireless communications with unmanned aerial vehicles (UAVs) offer a
promising solution to provide cost-effective wireless connectivity and extend
coverage. In recent years, the area of wireless communications for UAV system
design and optimization has been receiving enormous attention from the research
community. However, there are still existing challenges that are far from
solved. To cope with those challenges, researchers have been exploring the
applicability of game-theoretic approaches. This paper surveys the existing
game-theoretic solutions and presents a number of novel solutions which are
designed to optimize energy consumption, enhance network coverage, and improve
connectivity in wireless communications with UAVs. We present main game
components and the elements they represent in wireless communications with UAVs
first and then give a classification of the current used game-theoretic
approaches. We identify main problems in wireless communications with UAVs in
which game theory has been used to find solutions. We provide a case to show
the merits of applying game theory in wireless communication with UAVs.
Finally, we discuss shortcomings of the traditional game-theoretic approaches
and propose mean field game (MFG) as an appropriate method for solving novel
technical problems in massive UAVs networks.
