Utility Modeling and Optimization Based on Energy Consumption and Latency in Air-ground Integrated Networks

The integration of communication, caching, and computation in air-around integrated network has become the trend of next-generation mobile communication. Low latency and low energy consumption are considered as the important requirement of next-generation wireless network. In this article, an air-around integrated network framework for joint communication, computation, and caching of multi-subscriber, multi-unmanned aerial vehicles (UAV), and multi-base stations (BS) is proposed. A joint utility function oriented to the latency/rate, energy consumption, and the size of the task caches is constructed. The deep deterministic policy gradient (DDPG) algorithm is exploited to maximize the utility of mobile network operator (MNO). Finally, the effects of computational ability and cache space on MNO utility are discussed. Simulation results show that the algorithm reduces the computational latency and energy consumption of the subscriber and increases the utility of the MNO.