CDRX Parameter Adaptation for UE Power and Reliability
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Solution Overview
Problem
Conventional methods for determining Connected Mode Discontinuous Reception (CDRX) parameters in user equipment (UEs) do not consider the type of traffic, UE state, Received Signal Strength Indicator (RSSI) data, data size, or congestion level, leading to suboptimal power conservation and potential call drops.
Innovation Solution
Dynamic adaptation of CDRX parameters based on traffic classification, UE state data, RSSI data, data size, and congestion level, using machine learning models to optimize sleep cycles and reduce power consumption while ensuring data reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If CDRX parameters are fixed at the start of a call session, then device complexity is reduced and ease of operation is improved, but power conservation becomes suboptimal and reliability deteriorates due to potential call drops
Solution Approach 1:
The patent implements dynamic CDRX parameter adjustment by transitioning from static parameters set at call start to parameters that are continuously adapted based on real-time traffic classification, UE state, RSSI data, data size, and congestion level. This dynamic approach maintains ease of operation through automated adaptation while significantly improving reliability by preventing call drops through responsive parameter tuning.
Solution Approach 2:
The system establishes a feedback loop where CDRX parameters are continuously monitored and adjusted based on traffic conditions, UE state, signal strength, data size, and network congestion. This feedback mechanism ensures that parameters remain optimized for current conditions, thereby maintaining call session continuity and reliability without requiring manual intervention.
2Device complexity
If CDRX parameters are statically configured, then device complexity is minimized, but power conservation efficiency deteriorates due to inability to adapt to varying traffic conditions
Solution Approach 1:
The patent transforms static CDRX parameter configuration into a dynamic system that automatically adapts to varying traffic conditions, UE states, and network environments. This dynamic adaptation optimizes power conservation by adjusting sleep and active periods based on actual data traffic patterns, thereby reducing unnecessary power consumption without significantly increasing device complexity through automated algorithms.
Solution Approach 2:
The system implements parameter changes by dynamically modifying CDRX parameters based on traffic classification, UE state, RSSI data, data size, and congestion level. This approach enables the system to optimize power consumption by adjusting parameters such as DRX cycle length and active time duration according to actual conditions, thereby reducing energy loss without requiring complex manual configuration.
3Reliability
If CDRX parameters are dynamically adapted based on multiple factors, then power conservation is optimized and reliability is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent implements dynamic CDRX parameter adaptation that responds to multiple factors including traffic classification, UE state, RSSI data, data size, and congestion level. This dynamic system improves reliability by ensuring appropriate parameters are maintained for diverse transmission conditions while managing device complexity through integrated automated processing that consolidates multiple monitoring functions.
Solution Approach 2:
The system achieves multi-functionality by using a unified CDRX parameter adaptation mechanism that simultaneously considers traffic type, UE state, signal strength, data size, and network congestion. This universal approach improves reliability across diverse scenarios while avoiding the complexity of separate specialized systems by consolidating adaptation logic into a single multi-functional framework.
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AI summary
Techniques for dynamically adjusting Connected Mode Discontinuous Reception (CDRX) parameters are discussed herein. For example, a base station may receive information associated with downlink data to be sent to a user equipment (UE) and/or information associated with the UE itself. The base station may adjust CDRX parameters to be implemented on the UE based on the received information in order to maximize performance of the UE. In some examples, the base station may adjust CDRX parameters based on a traffic type (e.g., voice traffic, video traffic, data traffic, etc.) associated with the downlink data, UE state parameters associated with the UE, and/or Received Signal Strength Indicator (RSSI) data associated with the UE.