Wireless Backhaul Optimization Algorithm Considering Time Delay in 5G Dynamic Heterogeneous Scenarios

Abstract

In the 5G ultra-dense scenario, the deployment of the base station has massiveness, randomness, and other characteristics. This makes wireline backhaul costs too high and difficult to implement, and thus wireless backhaul is a better choice to solve the problem. This paper proposes a wireless backhaul optimization algorithm by considering the time delay for 5G dynamic heterogeneous scenarios. First, a systematic analysis of the delay problem in the 5G dynamic heterogeneous scenario is performed, and an accurate backhaul optimization index is established. Furthermore, a basic backhaul model is built. On this basis, from the two perspectives of the user demand difference and the number of user overload, the improved model 1 and the improved model 2 are respectively constructed, and a hierarchical algorithm is constructed to quickly solve the problem. Simulations verify the effectiveness of the algorithm.