UE Group Partitioning for Decoupled MRO and MLB in LTE
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Solution Overview
Problem
Current wireless broadband systems, such as LTE, face challenges in coordinating mobility robustness optimization (MRO) and mobility load balancing (MLB) functions, leading to contradictory decisions on handover trigger points and inefficient resource allocation due to a lack of awareness of Quality of Service (QoS) requirements and service-specific needs.
Innovation Solution
The method involves partitioning user equipment into groups based on QoS criteria and using group indicator information to perform simultaneous MRO and MLB procedures, allowing for decoupled operation of these functionalities and optimizing handover decisions based on specific QoS requirements, thereby enabling efficient resource management and reducing radio link failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MRO and MLB functions operate simultaneously without partitioning, then network optimization coverage is maximized, but contradictory decisions on handover trigger points occur and resource allocation becomes inefficient
Solution Approach 1:
The patent segments user equipment into multiple groups based on QoS criteria, allowing different MRO and MLB optimization parameters to be applied to different groups. This segmentation resolves the contradiction by enabling simultaneous operation of MRO and MLB functions on different UE groups without their optimization decisions conflicting with each other, while maintaining comprehensive network optimization coverage.
Solution Approach 2:
The patent applies local quality by configuring group-specific MRO parameters (such as handover trigger points) and MLB parameters (such as load balancing thresholds) that are tailored to the QoS requirements of each UE group. This allows handover decisions to be optimized locally for each group's specific needs, preventing contradictory decisions while maintaining overall network efficiency.
2Reliability
If MRO optimizes handover trigger points for all user equipment, then mobility robustness is improved, but load balancing efficiency deteriorates due to conflicting optimizations
Solution Approach 1:
The patent segments user equipment into groups with different QoS characteristics, allowing MRO to optimize handover robustness for groups requiring high mobility reliability while allowing MLB to perform load balancing optimizations for groups where load distribution is the priority. This segmentation enables both functions to operate effectively on different UE subsets without conflict.
Solution Approach 2:
The patent applies partial action by selectively applying MRO optimizations only to specific UE groups that require enhanced mobility robustness, while applying MLB optimizations to different groups where load balancing is more critical. This partial application of each function to appropriate subsets of UEs allows both mobility robustness and load balancing efficiency to be improved in their respective target groups.
3Productivity
If MLB redistributes user equipment to balance load, then resource allocation efficiency is improved, but handover robustness deteriorates due to suboptimal trigger points
Solution Approach 1:
The patent applies local quality by configuring group-specific MLB parameters for load balancing and group-specific MRO parameters for handover robustness. Each UE group receives localized optimization parameters tailored to its QoS requirements, allowing MLB to efficiently redistribute UEs in groups where load balancing is prioritized while MRO maintains handover robustness in groups where mobility reliability is critical.
Solution Approach 2:
The patent segments user equipment based on QoS criteria, enabling separate optimization strategies for different groups. This segmentation allows MLB to achieve efficient resource allocation for groups where load distribution is important while MRO simultaneously maintains handover robustness for groups requiring high mobility reliability, without the optimizations conflicting with each other.
4Adaptability or versatility
If QoS-aware group partitioning is implemented, then service-specific optimization is improved, but system complexity increases due to additional configuration parameters
Solution Approach 1:
The patent applies local quality by introducing group indicator information that identifies which UE belongs to which group, allowing different MRO and MLB parameters to be applied locally to each group based on their QoS characteristics. This local quality approach enables service-specific optimization without requiring completely separate systems for each service type, thereby managing complexity while maintaining adaptability.
Solution Approach 2:
The patent introduces group indicator information as an intermediary element that links UEs to their corresponding QoS groups. This intermediary mechanism enables service-specific optimization by allowing the network to identify and apply appropriate parameters based on the group indicator, without requiring complex direct mapping between each service type and its optimization parameters, thus managing system complexity.
Data Source
Figure 1A~1B
Figure 1C
Figure 1D-1
AI summary
Disclosed are methods, apparatus and computer programs to accomplish mobility load balancing and mobility robustness optimization. In an example of a method there are steps performed of, at a first network access node, partitioning a plurality of user equipment that are served by a cell of the network access node into at least two groups based on at least one partitioning criterion; sending a message to a second network access node having a neighboring cell, the message including group indicator information for identifying those user equipment that are in one of the groups; and performing mobility load balancing (MLB) procedures between the first and second network access nodes considering only those user equipment identified by the group indicator information.