| With the advent of the information age,information technology has penetrated into every aspect of life with a mighty attitude,and data traffic will explode.To meet the growing demand for data traffic,the communications industry and researchers are constantly exploring ways to increase the throughput of system.In 2013,the industry proposed LTE technology on the unlicensed bands(LTE-Unlicensed,LTE-U),which is a key technology for the next generation of cellular communication systems,which deploying LTE-U systems with multiplexed unlicensed bands on LTE technology.Due to the rapid development of 5G networks,data traffic is increasing,but to achieve huge mobile data traffic need to release huge carbon emissions.The ever-increasing carbon footprint has a negative impact on the ecological environment and human health.Therefore,research on "green communication" in recent years has received extensive attention from various government agencies,industry and academia.This paper mainly studies the energy efficiency optimization of LTE-U system and its related algorithms.The specific research results of this paper are as follows:1.Establish a coexistence model between LTE system and Wi-Fi system,maximize the throughput of the system as the optimization problem of the objective function;convert the non-convexity of the original problem into a convex optimization problem through variable substitution,and use Dinkelbach algorithm Solving,the feasibility of the algorithm is proved.In the process of maximizing the energy efficiency of the system(Energy Efficiency,EE),the power allocation of the licensed band and the unlicensed band is jointly considered,because there is co-channel interference between the base stations(Co-Channel Interference(CI),the energy efficiency of the licensed bands is not always better than the unlicensed bands.2.Analyze the energy efficiency of the LTE-U system.When the licensed bands resources are supplemented as the unlicensed bands,the EE of the unlicensed bands will increase.On the other hand,when the unlicensed bands resources are used as a supplement to the licensed bands,the bands is licensed.The EE will be increased;a method of maximizing the energy efficiency of the system to maximize the energy efficiency of the system is proposed,and the feasibility of the method is proved by simulation results,and the Pareto set,excellent balance scheme,is the most implemented by the weighted Tchebycheff method.3.The system model of D2D-U communication is constructed.Aiming at minimizing the total power of the system,a distributed resource allocation algorithm is proposed.In the distributed system model,each pair of D2D links is equivalent to a local part.Agents,which will perform local decision based on their own data information and neighboring data information,and finally obtain distributed optimization results of D2D system resource allocation;verify the algorithm from multiple angles,and prove the effectiveness of the distribution algorithm. |