RRM Server Load Balancing in LTE Multimode Networks

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Solution Overview

Problem

In multimode communication networks, such as those with LTE, UMTS, and GSM systems, load imbalance between base stations leads to call drops and degraded Quality of Service (QoS) due to limited interaction and resource balancing capabilities between evolved base stations, resulting in underutilized idle resources and compromised network throughput.

Innovation Solution

A load balance method where a radio resource management server obtains load information from base stations, determines overloaded stations, and selects a target station based on preset conditions including mode, distance, and load state to perform load balancing through user handover and spectrum sharing, optimizing resource allocation across the network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a distributed resource management mode is applied in LTE systems, then base stations operate independently with simple local control, but interaction and resource balancing capabilities between base stations are limited

Engineering Contradiction:
Improvelocal control simplicityVSAvoidresource balancing capability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

An RRM server is introduced as an intermediary component that collects load information from multiple base stations, performs centralized load balancing calculations, and sends handover commands to appropriate base stations. This mediator enables resource balancing across the network while base stations maintain their operational simplicity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If load balancing is not implemented between base stations, then system complexity remains low, but call drops occur in overloaded cells and QoS deteriorates

Engineering Contradiction:
Improvesystem complexityVSAvoidcall drop rate
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system implements a feedback mechanism where base stations continuously report their load information (such as number of connected users, resource utilization) to the RRM server. The server processes this feedback and dynamically generates handover commands to redistribute users from overloaded cells to underloaded cells, thereby preventing call drops and maintaining QoS.

Inventive Principle:
Principle #23Feedback

3Device complexity

If idle resources in underloaded cells are not utilized, then resource allocation remains simple, but network throughput performance deteriorates

Engineering Contradiction:
Improveresource allocation complexityVSAvoidnetwork throughput
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The resource allocation system transitions from a static, cell-autonomous mode to a dynamic, network-wide mode. The RRM server continuously monitors load conditions and dynamically adjusts resource allocation by directing user handovers from overloaded cells to underloaded cells, thereby utilizing idle resources and improving overall network throughput.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP2800414B1Load balancing method and related device
Publication Date: 2017.12.13 HUAWEI TECH CO LTD
  • EP2800414B1 patent drawingFigure 1~2
  • EP2800414B1 patent drawingFigure 3
  • EP2800414B1 patent drawingFigure 4

AI summary

Embodiments of the present invention disclose a load balance method and relevant apparatuses to implement load balance between base stations in a communications network that includes an LTE base station. The method in an embodiment of the present invention includes: obtaining, by a radio resource management RRM server, load information reported by base stations, where the base stations include a Long Term Evolution LTE base station; determining an overloaded base station in the base stations; determining a target base station according to the load information, where the target base station is a base station to share a load of the overloaded base station; and instructing the overloaded base station and the target base station to perform load balance.