A Dense Network Load Balancing Method Based on Load Sensing

Abstract

The invention relates to a dense network load balancing method based on load aware, which relates to the technical field of wireless communication network. A method for implementing load balancing through cell range expansion (CRE) based on partial measurable Markov decision-making process load aware is disclosed, which solves a problem that the load of a network under dense micro cell configuration is unbalanced. A load condition, which probably occurs, of a next cycle system is judged by observing and analyzing services of system users and combining the partial measurable Markov decision-making process load aware, so that an offset of the CRE is dynamically adjusted by taking actions in advance and then a purpose of optimizing system load balance is achieved. According to the dense network load balancing method based on the load aware, the load aware under dense micro cell configuration can be achieved, so that the system load balance is effectively improved, and meanwhile, system throughput and system resource utilization rate are effectively improved. The dense network load balancing method based on load the aware can be applied to dense heterogeneous network load balancing.

Description

technical field [0001] The invention belongs to the field of wireless communication networks, and relates to a dense network load balancing method based on load perception. Background technique [0002] The deployment of a dense heterogeneous network is a dense network architecture that guarantees basic coverage in macro cells, deploys micro base stations for network expansion in network hotspots, or performs network blind coverage in blind spots. With the continuous increase of data services, the number of small base stations in the network is also increasing, so as to increase the capacity of the network. Due to the densification of small base stations, the increase in capacity also brings various problems that affect network performance, such as load balancing and other issues. The load balancing problem in dense heterogeneous networks is mainly due to the difference in transmit power between the traditional macro base station (MBS) and the low-power node (LPN) and the s...

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Problems solved by technology

However, this scheme does not consider the performance of the RE scheme from the perspective of the overall system, so the bias value setting in the RE scheme needs further research

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