Traffic offloading is considered to be a promising technology in the Unmanned Aerial Vehicles- (UAVs-) assisted cellular networks. Due to their selfishness property, UAVs may be reluctant to take part in traffic offloading without any incentive. Moreover, considering the dynamic position of UAVs and the dynamic condition of the transmission channel, it is challenging to design a long-term effective incentive mechanism for multi-UAV networks. In this work, the dynamic contract incentive approach is studied to attract UAVs to participate in traffic offloading effectively. The two-stage contract incentive method is introduced under the information symmetric scenario and the information asymmetric scenario. Considering the sufficient conditions and necessary conditions in the contract design, a sequence optimization algorithm is investigated to acquire the maximum expected utility of the base station. The simulation experiment shows that the designed two-stage dynamic contract improves the performance of traffic offloading effectively.

中文翻译：

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多无人机网络中流量分流的动态合同激励机制

在无人飞行器（UAV）辅助的蜂窝网络中，流量卸载被认为是一种有前途的技术。由于其自私性质，无人机可能不愿在没有任何诱因的情况下参与流量卸载。此外，考虑到无人机的动态位置和传输通道的动态状况，为多无人机网络设计一种长期有效的激励机制具有挑战性。在这项工作中，研究了动态合同激励方法，以吸引无人机有效参与交通卸载。在信息对称场景和信息不对称场景下，引入了两阶段合同激励方法。考虑到合同设计中的充分条件和必要条件，研究了一种序列优化算法，以获得基站的最大期望效用。仿真实验表明，设计的两阶段动态契约有效地提高了流量分流的性能。