Bearer Selection for Dual Connectivity in Cellular Networks
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Solution Overview
Problem
Current communication systems, particularly in wireless cellular networks, face challenges in efficiently managing bearers for user equipment (UE) to optimize traffic distribution across multiple base stations based on UE capabilities and application characteristics, leading to suboptimal performance in terms of quality of service and resource allocation.
Innovation Solution
A method and apparatus that determine the appropriate bearer for traffic between a user equipment and multiple base stations by considering the UE's communication abilities, policy rules, and application characteristics, involving information exchange between mobility management entities, policy and charging rules functions, and traffic detection functions to establish or modify bearers optimally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bearer selection is based on simple base station availability, then device complexity is reduced, but quality of service deteriorates due to suboptimal traffic distribution
Solution Approach 1:
The patent introduces a network entity (e.g., MME, PCRF, or base station) as an intermediary that performs complex bearer selection logic. This intermediary receives information about UE dual connectivity capability, application characteristics, and base station characteristics, then determines the optimal bearer configuration. By centralizing the decision-making process in a network intermediary rather than requiring complex UE-side logic, the system achieves high QoS while managing complexity centrally.
Solution Approach 2:
The system performs preliminary actions by pre-configuring policy rules and bearer parameters in the network entity before actual traffic flow. The network entity stores information about UE capabilities, application requirements, and base station characteristics in advance, allowing rapid bearer selection when traffic needs to be routed. This pre-computation and pre-storation of selection criteria enables fast, optimal bearer selection without real-time complex calculations.
2Productivity
If bearer management considers multiple factors (UE capability, policy rules, application characteristics), then resource allocation improves, but decision-making complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the network entity continuously monitors bearer performance, traffic patterns, and network conditions. Based on this feedback, the system dynamically adjusts bearer selection decisions and updates policy rules. The network entity receives feedback about UE dual connectivity status, application performance requirements, and base station load conditions, then uses this information to optimize bearer allocation. This closed-loop feedback system enables efficient resource allocation while managing complexity through iterative optimization rather than complex one-time decisions.
Solution Approach 2:
The system changes parameters dynamically based on observed conditions rather than using fixed complex rules. The network entity adjusts bearer parameters (such as QoS parameters, routing preferences, and allocation priorities) based on real-time information about UE capability, application characteristics, and network state. By making small, adaptive parameter changes rather than complex structural decisions, the system achieves high resource allocation efficiency while keeping the decision-making process manageable.
3Measurement precision
If dual connectivity information is collected and processed, then bearer selection accuracy improves, but information processing overhead increases
Solution Approach 1:
The patent extracts only the essential dual connectivity information needed for bearer selection from the overall UE capability set. Rather than processing all possible UE parameters, the system specifically extracts and processes information about dual connectivity capability, preferred base station combinations, and relevant application characteristics. This selective extraction of critical information enables accurate bearer selection while minimizing information processing overhead by focusing only on the most relevant parameters.
Data Source
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AI summary
There is provided a method comprising determining a bearer to be used for first traffic between a user equipment and one of a plurality of base stations in dependence on information indicating the user equipment's ability to communicate with a plurality of base stations, policy rules, and information about the application characteristics of said first traffic.