Research On D2D Power Control Algorithm Based On 5G Communication

The 5G communication system puts forward the application requirements of the Internet of Everything in the industrial field,which puts forward new requirements for performance indicators such as network access rate,energy consumption,and system throughput capacity of terminal equipment.Device-to-device communication technology(Device-to-Device,D2D)can directly communicate through multiplexing cell resources between terminals to improve system throughput and network utilization.Therefore,D2 D technology is one of the key technologies to solve the 5G industrial requirements.The current research on D2 D related technologies generally lacks the ability to adapt to 5G communication systems and does not take industrial requirements such as high connectivity and low power consumption as optimization goals.Taking the optimization of terminal power consumption,equipment network access rate,and system network capacity as research targets,the terminal power control method was used to study the resource allocation and interference coordination algorithms in full multiplex and super multiplex states,respectively.The main research contents and work results are as follows:(1)First,in terms of terminal power control,a power control algorithm based on exhaustive search in a single channel environment is proposed.This algorithm simplifies the two-dimensional Qo S(Quality of Service,Qo S)calculation formula of the terminal SNR ratio to one-dimensional,and introduces an exhaustive search algorithm to convert the one-dimensional Qo S calculation formula into an iterable progressive power formula.Simulation results show that the power control algorithm based on exhaustive search can effectively reduce the terminal power consumption at full load or low load,with large or small users.(2)Secondly,a resource allocation algorithm based on power adjustment is proposed in terms of resource allocation algorithm in full multiplexing state.The algorithm initially determines terminal power by introducing an exhaustive search-based power control algorithm;combining channel allocation based on a balanced throughput algorithm and a system interruption judgment algorithm;introducing adjustment principles based on numerical and geometric dimensions to adjust terminal power.Simulation results show that the resource adjustment algorithm based on power adjustment has great advantages in indicators such as terminal power consumption and system outage probability.(3)Finally,in the resource allocation algorithm in the super-multiplexed state,the communication model containing multiple D2 D users in the same channel is analyzed.Aiming at the characteristics of the super-multiplexed system,a resource allocation algorithm based on restricted genetics was proposed.The algorithm introduces a limited direction iterative evolution algorithm in the power allocation phase and adds an evolution correction formula;in the channel allocation phase,a group comparison method is used to select the best channel for the terminal.Simulation results show that the resource allocation algorithm based on restricted genetics can improve the throughput and reduce the probability of system outages.