Radio Network Node Handover Logic for Resource Utilization
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Solution Overview
Problem
Radio communication systems face suboptimal resource utilization even after load balancing, with traffic load imbalances leading to inefficient use of radio resources, particularly when one cell has a consistently higher load than neighboring cells, causing UEs to be moved only in one direction.
Innovation Solution
A method and network node that determine traffic load parameters of source and target cells, select UEs based on measured signal parameters like RSRP or RSRQ, and move them from the source cell to the target cell when the source cell's load is lower, optimizing resource utilization by allowing UEs to move from cells with lower to higher loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load balancing is performed to balance traffic load between cells, then traffic load distribution is improved, but resource utilization is not optimized
Solution Approach 1:
The patent changes the selection criterion from purely load-based to a composite criterion that includes both load conditions and UE-specific radio resource requirements. This allows the system to consider not just traffic load balance but also how efficiently radio resources are being used, thereby resolving the contradiction between load distribution and resource utilization optimization
2Reliability
If UEs are moved from overloaded cells to underloaded cells, then load balance is improved, but resource utilization remains suboptimal
Solution Approach 1:
The patent inverts the traditional load balancing approach by considering cases where UEs should be moved from underloaded cells to overloaded cells when the overloaded cell can serve them more efficiently. This reverse-direction handover strategy challenges the conventional wisdom and directly addresses the resource utilization problem while maintaining load balance
3Productivity
If UEs are forced to move to neighboring cells with lower load, then traffic distribution is improved, but overall system performance is not optimized
Solution Approach 1:
The patent introduces additional parameters beyond simple traffic load, specifically UE-specific radio resource requirements and channel conditions. By evaluating multiple parameters including RSRP, RSRQ, and resource block utilization, the system can make more informed handover decisions that optimize both traffic distribution and overall system performance
Data Source
AI summary
The present disclosure concerns movements, such as handovers, of user equipments (UEs) 120a-e from one radio cell 130a to another radio cell 130b. Disclosed herein are methods as well radio network nodes 110a, 110b. A radio network node 110a, 110b may, for example, select the most suitable UE(s) 20a-e to move from a source radio cell 130a to a target radio cell 130b in case the traffic load in the source radio cell 130a is below or equal to the traffic load of the target radio cell 130b. Hereby it is made possible to improve the resource utilization.