Adaptive Link Adaptation via Dynamic BLER Target Adjustment
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Solution Overview
Problem
Current wireless communication systems, particularly in LTE networks, face challenges in dynamically managing connections due to unreliable channel state feedback and slow adaptation to varying traffic types and link scenarios, leading to suboptimal bit rates and error rates.
Innovation Solution
The implementation of a method within user equipment (UE) to dynamically determine and set a block error rate (BLER) target value based on traffic types and link scenarios, enabling adaptive link adaptation through channel state feedback operations, which improves connection management and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed BLER target value is used in channel state feedback operations, then the system complexity is reduced, but the reliability and adaptability to varying traffic types and link scenarios deteriorates
Solution Approach 1:
The patent implements dynamic BLER target adjustment by detecting traffic types (voice, data, video) and link scenarios (indoor, outdoor, mobile, stationary) to selectively apply different BLER target values. This transforms the fixed parameter into a dynamic one that adapts to changing conditions, resolving the contradiction between simplicity and reliability.
Solution Approach 2:
The patent changes the BLER target parameter based on detected traffic types and link scenarios. By establishing multiple BLER target values corresponding to different conditions and selecting the appropriate one dynamically, the system achieves both simplicity (through predefined values) and reliability (through condition-based selection).
2Device complexity
If traditional channel state feedback operations are used without adaptive BLER targeting, then the device complexity is minimized, but the productivity and network performance deteriorate due to slow adaptation
Solution Approach 1:
The patent performs preliminary detection of traffic types and link scenarios before executing channel state feedback operations. By pre-identifying the operating conditions and selecting appropriate BLER targets in advance, the system enables faster adaptation without adding significant complexity during the actual feedback process.
Solution Approach 2:
The UE autonomously detects its own traffic type and link scenario, and automatically selects the appropriate BLER target value without requiring external configuration or complex network-side processing. This self-service approach improves network performance while keeping device complexity manageable.
Data Source
AI summary
A device, system, and method perform an adaptive link adaptation. The method, at a user equipment (UE) connected to a Long Term Evolution (LTE) network via an evolved Node B (eNB), includes determining a type of wireless traffic being utilized by the UE based upon at least one application executed on the UE, the wireless traffic being one of a data only, a voice only, or a combination thereof. The method includes determining a block error rate (BLER) target value to be used in a channel state feedback operation associated with a link adaptation operation for a connection between the UE and the eNB.