Heuristic user connection load balancing method based on random decision

Abstract

The invention discloses a discrete heuristic user connection load balancing method based on random decision in an ultra-dense heterogeneous network. A user has a connection probability vector for a selectable candidate base station, a service base station is selected randomly according to the connection probability vector on the basis of the current network environment, the connection feedback of the user is obtained from the selected base station, the connection probability vector of the user is updated till a certain member in the connection probability vector approaches to 1, and the service base station needing to be connected is determined. By adopting the method, newly-arrived users can select the optimal base station to be connected according to existing network load conditions. The connection is determined according to the local information, and signaling overheads and computation complexity of the overall network are reduced. Load balance and user rate fairness in the ultra-dense heterogeneous network can be improved, and meanwhile the resource utilization rate of the ultra-dense heterogeneous network can be improved.

Description

technical field [0001] The invention relates to a heuristic user connection load balancing method based on random decision in an ultra-dense heterogeneous network, which belongs to the technical field of network in wireless communication. Background technique [0002] In the heterogeneous network of the 5G (fifth generation mobile communication technology) system, deploying high-density small cells has become a common strategy, thus forming an ultra-dense heterogeneous network. [0003] In an ultra-dense heterogeneous network, base stations of different types (for example, they can be distinguished according to transmission power) form different layers, and base stations of the same type are in the same layer. For example, a base station with low transmission power is called a small station, and all small stations form a small station layer, a base station with high transmission power is called a macro station, and all macro stations form a macro station layer. Due to the d...

AI Technical Summary

Problems solved by technology

However, in an ultra-dense heterogeneous network, due to the large difference in transmit power between large and small stations, users offloaded from macro stations to small stations will be subject to strong interference from macro stations, causing the user's signal-to-interference-plus-noise ratio (SINR , Signal to Interference plus Noise Ratio) is lower

As a result, the throughput obtained by users from the small site decreases, and the resources of the small site cannot be fully utilized

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