Abstract:

To resolve the issues of unbalanced and inefficient resource allocation due to large cluster size and large demands differences in unmanned aerial vehicles (UAVs) communication systems,a distributed rate oriented resource allocation method is proposed,which maximizes the minimum achievable rate by jointly optimizing the channel allocation and transmission power.To reduce the computational complexity,a distributed solution based on clustering is proposed,where the global problem is decomposed into several subproblems by clustering UAVs.Each cluster solves a sub-problem independently.To further coordinate the inter-cluster interference,an inter-cluster power competition mechanism based on the non-cooperative game model is developed.The optimal transmit power of each cluster is obtained by equilibrium point analysis with the existence and uniqueness of the Nash equilibrium proved.Then,the intra-cluster allocation problem is transformed to an optimization problem based on the result of inter-cluster power competition,and is solved using the Lagrange duality method and alternating optimization method to obtain the optimal channel and power allocation strategies for each UAV.Simulation results show that the proposed scheme can effectively balance fairness among different UAVs while greatly reducing the complexity.

Key words: UAV communications, distributed resource allocation, rate fairness, non-cooperative game