Research On Power Control Based On Cache Mechanism In D2D And Base Station Hybrid

communication has entered the era of the Internet of Thing with the popularity of mobile intelligent terminal devices,various communication resources are in short supply.As one kind of terminal direct-through technology,D2D communication technology can directly transmit data between user terminals without requiring base stations to forward,which can effectively alleviate base station load.The D2D content caching technology has also been proved that by proper-ly allocating the cache distribution of the user terminal node,promote D2D communication between the user terminals effectively.Thereby improving local cache utilization efficiency and greatly reducing the burden on the base station.In this paper,the base station and user terminal nodes in the D2D and cellular communication hybrid network are modeled.Based on the two-layer cooperation theory of Stackelberg game theory,a master(base station)multi-slave(user terminal node)model is established.In the model,the base station can sense the location of the user terminal nodes,estimate the power consumption of the D2D communication and the cellular communication transmitter,and give the user terminal which shares the local cache a certain incentive to encourage D2D communication between the user terminal nodes.Aiming at the above model,this paper designs an energy efficient cache allocation strategy that introduces power control,uses the transmit power as the cost,constructs the user terminal utility maximization and the base station optimization sub-model,and solves Nash equilibrium point of this model,so the energy efficient cache distribution is obtained.The simulation results show that the proposed strategy can greatly promote D2D communication while saving energy.In addition,this paper also studies the mobile hybrid network,and analyzes the cache transmission failure that may be caused by mobility.Finally,it proposes a caching strategy suitable for mobile situations,that is,by referring to the worst moving model,appropriately increase the transmission power to avoid the cache transfer failure.Results shows that the increased costs are within acceptable limits.The strategy can be applied to different mobile scenarios and is extraordinarily suitable for more mobile devices in the future.