LTE (long term evolution) load balancing method based on physical cell identity

Abstract

The invention relates to an LTE (long term evaluation) load balancing method based on a physical cell identity, which comprises the steps that a cell identity which is a load-aware physical cell identity (LA-PCI for short) is used in a cell synchronization signal (PSS (primary synchronization signal) and SSS (secondary synchronization signal)); a user at idle state can obtain the LA-PCI by detecting the cell synchronization signal so as to sense the load level of the cell; and the user terminal can preferentially select a cell with lower load level in a cell selection / reselection stage, thereby automatically balancing the load distribution of cells. The LTE load balancing method based on the physical cell identity has the advantage that the user can actively sense the load level of the cell, know the load condition of the current cell at idle state and before access, select an appropriate cell according to the cell selection / reselection criterion, preferentially resides in a cell which conforms to the reselection conditions and has lower load level, and relieve the condition of uneven load distribution of the cell in advance, thereby realizing the purpose of making full use of total resources of the system.

Description

technical field [0001] The present invention relates to an LTE load balancing method, in particular to an LTE load balancing method based on a physical cell identifier. Background technique [0002] LTE is the long-term evolution of the UMTS third-generation mobile communication system. With the help of efficient multi-carrier, multi-antenna transmission technology and flexible air interface scheduling mechanism, it can provide up to 100Mbps downlink peak transmission rate under 20MHz carrier bandwidth, and within 10ms User plane delay, a cell can support at least 400 active user equipment (UE). In order to achieve these key performance indicators on the limited air interface resources, the LTE system base station (eNodeB) needs to perform effective radio resource management (RRM), including admission control, radio bearer management, dynamic resource allocation, mobility management, load balancing, Inter-cell interference coordination, inter-RAT radio resource management u...

AI Technical Summary

Problems solved by technology

[0006] The present invention mainly solves the uneven distribution of the load level of each cell in the LTE system existing in the prior art. It may occur that some cells have a high load level and cannot meet the service requests of more users, while adjacent cells have a low load level and have Situations where free resources are available

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