To meet requirement for high capacity and communication quality,a joint location,user scheduling,user pairing and power allocation optimization algorithm is proposed for multi-Unmanned Aerial Vehicle(UAV)assisted downlink Non-Orthogonal Multiple Access(NOMA)networks.Firstly,a closed solution of power distribution strategy and general optimal user pairing is derived with fixed location of base station.Then,the UAV location optimization problem is formulated as a local cooperation game for multi-cell scenario.In addition,the proposed game is proved as an exact potential game,which has at least one Pure Strategy Nash Equilibrium(PNE)and the best Nash Equilibrium(NE)can maximize the total network sum-rate.Finally,a centralized-distributed iterative learning algorithm is designed to explore the optimal PNE.Simulation results show that the proposed algorithm outperforms the existing schemes and has better performance in terms of system sum-rate.
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维普
