【摘 要】
：
Unmanned Aerial Vehicles (UAVs) enabled Aerial Base Stations (UABSs) have been studied widely in future communications.However,there are a series of challenges such as interfer-ence management,trajectory design and resource allocation in the scenarios of
【机 构】
：
School of Electronics and Information Engineering,Northwestern Polytechnical University,Xi’an 710129
论文部分内容阅读
Unmanned Aerial Vehicles (UAVs) enabled Aerial Base Stations (UABSs) have been studied widely in future communications.However,there are a series of challenges such as interfer-ence management,trajectory design and resource allocation in the scenarios of multi-UAV net-works.Besides,different performances among UABSs increase complexity and bring many challenges.In this paper,the joint downlink transmission power control and trajectory design prob-lem in multi-type UABSs communication network is investigated.In order to satisfy the signal to interference plus noise power ratio of users,each UABS needs to adjust its position and transmis-sion power.Based on the interactions among multiple communication links,a non-cooperative Mean-Field-Type Game (MFTG) is proposed to model the joint optimization problem.Then,a Nash equilibrium solution is solved by two steps:first,the users in the given area are clustered to get the initial deployment of the UABSs;second,the Mean-Field Q (MFQ)-learning algorithm is proposed to solve the discrete MFTG problem.Finally,the effectiveness of the approach is ver-ified through the simulations,which simplifies the solution process and effectively reduces the energy consumption of each UABS.
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