Research On Wireless Backhaul Optimization Theory In 5G Environment

In 5G networks,in order to meet extremely high data transmission rates,extremely low latency and other performance requirements,the ultra-intensive deployment of small base stations and the adoption of new network architectures become inevitable choices.Backhaul links will become the bottleneck of the entire network performance.Especially in the 5G networks,the intensive deployment of small base stations makes the problem of delay and delay jitter on the backhaul link more prominent.For this reason,this paper proposes a wireless backhaul optimization algorithm for 5G dynamic heterogeneous scenarios,and allocates limited resources reasonably to meet the user's business needs and improve the user's experience.The main work of this article is as follows:I.A wireless backhaul optimization algorithm considering time delay in a 5G dynamic heterogeneous scenario is proposed.First,a systematic analysis of the time delay in this scenario was performed,and a precise optimization index was established.Secondly,the basic optimization model is built to optimize the delay under this scenario.On this basis,taking into account the different needs of different users,an improved model 1 can be constructed to achieve the purpose of targeted optimization of different user needs.Users with communication needs exceed the special circumstances of the network carrying capacity and construct an improved model 2 in order to achieve the goal of optimizing the special circumstances beyond the network carrying capacity.Then,for the improved model in this chapter,improved model 2 in this chapter,a corresponding hierarchical solution algorithm is proposed for solving,and the performance is verified through simulation.II.A wireless backhaul optimization algorithm considering delay jitter in a 5G dynamic heterogeneous scenario is proposed.First,a systematic analysis of the delay jitter in this scenario is performed.Secondly,the basic optimization model is constructed to optimize the delay jitter in this scenario.While optimizing the delay jitter,in order to prevent the unbalanced optimization of individual target delays,an improved model 1 is constructed to achieve delay jitter.The optimization ensures the balanced optimization of the user's time delay;further,the improved model 2 is constructed to achieve the purpose of optimizing the special situation beyond the network carrying capacity.Then,a hierarchical solution algorithm is proposed for each of the proposed two improved models,and performance is verified through simulation.Finally,the thesis summary the full text and at the same time introduce the future research directions.