Research On Resource Management Of 5G Network With Non-ideal Backhaul

In order to achieve a higher peak rate, the ideal user experience of the 5 G mobile communication system in the future, we must fully consider all the non-ideal factors of the system. Therefore, in order to achieve these needs of 5G, the impact of non-ideal backhaul problem to the system has become increasingly important. Based on the characteristics of 5G mobile communication scene, this thesis chooses the backhaul delay problem of non-ideal backhaul as the main research point,and puts forward the solution from different aspects.The main contributions of this thesis include the following three aspects:1. Research on the hybrid channel prediction algorithm of non-ideal backhaul. Based on the classification and summary of the existing research results, we propose a hybrid channel prediction algorithm. Then,the simulation results and conclusions are given. The results show that the algorithm can improve the accuracy of channel prediction effectively, as well as the system performance in non-ideal backhaul conditions. Under the 20ms backhaul delay, the throughput of the edge users can be improved by 9.16%.2. In the second chapter, we put forward a resource management algorithm based on hybrid channel prediction algorithm. Based on a more accurate channel state information by prediction, we analyze performance improvement for the user scheduling, and propose a scheduling algorithm using the maximum rate difference method. Finally, results are provided and analyzed.3. From the service perspective, our thesis also makes the research on scheduling schemes that maximize the user experience. First of all, we introduced shortcomings of traditional classical scheduling algorithm considering the backhaul delay. Then, we take the quality of service to users as the main index, establish the mathematical model of backhaul delay and proposed scheduling scheme based on service of users to reduce the effect of backhaul delay. The simulation performance and conclusion of the scheme are given. The results show that the improvement in the existing algorithm helps to improve the traditional algorithm considering backhaul delay problems.The research results of this thesis consider from the above three aspects and solve the problem of non-ideal backhaul,mainly the problems that performance loss of mobile communication systems caused by delay. Simulation results show that under the given conditions, the algorithm and the scheme proposed in this paper can effectively improve the system performance in the presence of backhaul delay. In conclusion,the research results of the thesis are of great significance to the further research on the delay of 5G backhaul.