Load balancing method for super-dense heterogeneous mobile cellular network

Abstract

The invention provides a load balancing method for a super-dense heterogeneous mobile cellular network, comprising the steps of 1, dividing the coverage space of the super-dense heterogeneous mobile cellular network into a plurality of checkered grids with the same size, and periodically making statistics on the average flow rate in each checkered grid to obtain the loading capacity in each checkered grid, and using the loading capacity for representing time volatility and space difference of the network load; and 2, distributing base station providing coverage service corresponding to each checkered grid according to the loading capacity in each checkered grid and allocated wireless resources of each base station in the super-dense heterogeneous mobile cellular network. According to the load balancing method for the super-dense heterogeneous mobile cellular network, aiming at the characteristic that the loading capacities in 4G and post-4G mobile cellular networks are nonuniform in time variation and space distribution, effective load balancing is achieved, and utilization efficiency of wireless resources (such as fixed spectral bandwidths and fixed transmission efficiency of base stations) and system capacities in 4G and post-4G super-dense heterogeneous mobile cellular networks are improved.

Description

technical field [0001] The invention relates to the field of 4G and post-4G mobile communication technologies, in particular to a load balancing method for an ultra-dense heterogeneous cellular network. Background technique [0002] Ultra-dense heterogeneous cellular network (Ultradense network, UDN) is considered to be one of the evolution trends of the fourth-generation mobile communication and the fifth-generation mobile communication network due to its outstanding performance in improving system capacity and network coverage. The basic idea is to densely deploy a large number of low-power access points (AccessNode, AN), such as microcell base stations (MicroBS) and picocell base stations (PcioBS) in hot spots within the coverage of macro cells [HuaweiTechnologiesInc. , 5G: Atechnologyvision, 2013, Whitepaper]. However, this brings new challenges to the traditional cellular network load balancing, mainly because, 1) the overlapping coverage of the cellular network archit...

AI Technical Summary

Problems solved by technology

[0004] However, the existing methods only consider the fluctuation of the mobile network load in time, and the cell breathing method either adjusts the coverage area from the center of the cell edge in the unit of cell or sector, or adjusts the coverage of the user base station in the cell edge. choose

However, there is obviously a difference in the load space, and this spatial difference cannot be effectively reflected in the unit of the unit cell or the circle of the sector, which will reduce the performance of this load balancing method. For example, the loads at the edges of multiple cells are very low, and obviously neither direct nor indirect methods can achieve the effect of load balancing

Therefore, there is still a lot of room for improving system resource utilization through cell breathing technology, especially for ultra-dense heterogeneous networks. The overlapping deployment of a large number of different types of base stations makes the topology of ultra-dense heterogeneous networks more complicated, and the spatial difference of loads is even greater. complex

Images