User access load balancing method based on self-backhaul perception

Abstract

The invention relates to a user access load balancing method based on self-backhaul perception, and belongs to the technical field of wireless communication networks. According to the method disclosed by the invention, a user access load balancing strategy is provided according to various small base station access and backhaul resource load states under a dense heterogeneous network; various small base station in-band wireless access and backhaul bandwidth distribution is learned by utilization of a Q-Learning algorithm; users are accessed again under different bandwidth distribution factors according to the user access load balancing strategy; the system utility under different access conditions is obtained; therefore, the optimal bandwidth distribution strategy is obtained; and the system utility maximization is realized while the load balancing is ensured. By means of the user access load balancing method based on self-backhaul perception disclosed by the invention, a solution is provided for the load balancing work mode in the self-backhaul scene of the dense heterogeneous network; and thus, the user rate experience is improved while the network load balancing is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and relates to a user access load balancing method based on self-backhaul perception. Background technique [0002] In recent years, the number of smart devices, multimedia service access and cloud servers has grown rapidly, and people are witnessing explosive growth of mobile IP data traffic. , the main driving force for 5G) exploration. However, due to the extreme shortage of available wireless spectrum resources for mobile communications, dense deployment of base stations in future cellular networks is the general trend, which can improve spectrum efficiency and meet the growing demand for data traffic in a limited frequency band. Dense networking is an effective solution to solve the problem of rapid growth of 5G network data traffic. In the coverage area of ​​macro base stations, various low-power small base stations are densely deployed to form an ultra-dense heter...

AI Technical Summary

Problems solved by technology

If the allocation of access and backhaul bandwidth is unreasonable, it will cause unbalanced access load or backhaul load, resulting in low overall performance of the base station

[0005] (2) In the ultra-dense network, the small base stations using the in-band self-backhaul technology are densely deployed, and the bandwidth resource allocation of the in-band wireless backhaul becomes an important limiting factor for the improvement of system throughput and load balance. Intra-wireless backhaul bandwidth allocation usually adopts a fixed ratio or unified adjustment method. Both of these methods have accuracy and timeliness problems, and cannot be adjusted in time as the system status changes, so that the access backhaul bandwidth cannot be allocated. profit maximization

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