eNodeB Connection State Timing for Adaptive WTRU Traffic Patterns
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Solution Overview
Problem
Existing LTE systems face challenges in optimizing connection state management for wireless transmit/receive units (WTRUs) to improve data rates and reduce power consumption, particularly in scenarios involving carrier aggregation and diverse network conditions.
Innovation Solution
An eNodeB receives pattern information related to connection state management behavior of WTRUs, determining a time factor based on this information to adjust connection states, thereby optimizing power consumption and data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If connection state management is optimized using fixed time factors, then network control simplicity is improved, but adaptability to diverse usage patterns deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from fixed time factors to dynamic time factors that adapt based on WTRU usage patterns. The eNB determines time factors based on received pattern information, allowing the system to dynamically adjust connection state management parameters according to actual traffic characteristics, thereby resolving the contradiction between operational simplicity and adaptability.
Solution Approach 2:
The patent implements parameter changes by modifying the time factor parameters used in connection state management. Instead of using predetermined fixed values, the system adjusts these parameters based on analyzed usage patterns, enabling flexible adaptation to different traffic scenarios while maintaining systematic control through the eNB.
2Productivity
If connection states are adjusted frequently to improve data rates, then throughput is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by adjusting connection states based on actual usage patterns rather than continuously or excessively. The eNB determines appropriate time factors based on analyzed patterns, enabling connection state adjustments only when and where needed to improve data rates, thereby avoiding unnecessary power consumption while maintaining productivity.
Solution Approach 2:
The patent implements feedback mechanisms by having the eNB receive usage pattern information from WTRUs and use this feedback to determine appropriate time factors for connection state management. This closed-loop approach ensures that connection adjustments are made based on actual performance and usage conditions, optimizing the balance between data rates and power consumption.
3Adaptability or versatility
If pattern information collection is implemented to improve connection management, then adaptability is improved, but signaling overhead increases
Solution Approach 1:
The patent applies extraction by isolating only the essential pattern information needed for connection state management from the overall signaling traffic. The eNB receives specific pattern information related to connection state management behavior, extracting only the necessary data elements to improve adaptability while minimizing the impact on signaling overhead.
Data Source
AI summary
Method and apparatus for providing information to a network are disclosed. An eNodeB (eNB) may receive pattern information relating to connection state management behavior of a wireless transmit/receive unit (WTRU). The eNB may receive this information over S1 signaling when a connection is established. The eNB may determine a time factor for connection state management, wherein the time factor may be based on the received information. The determine time factor may be used to adjust connection states of the WTRU.