Dynamic Target BLER Adjustment for 5G UE Power Optimization
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Solution Overview
Problem
Current wireless communication systems, particularly 5G NR, face challenges in efficiently managing target block error rate (BLER) which affects power consumption and computational complexity, leading to suboptimal performance in terms of power savings and operational efficiency.
Innovation Solution
A method and apparatus that allow user equipment (UE) and base stations to dynamically adjust the target BLER, enabling UE to request and base stations to respond with changes, thereby adjusting computational complexity and power consumption based on conditions such as battery level or transmission priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the target BLER is reduced to improve reliability, then the error rate decreases, but the computational complexity and power consumption increase
Solution Approach 1:
The patent implements dynamic adjustment of the target BLER parameter based on real-time conditions. The UE can request changes to the target BLER, and the base station can respond with indications to change it, allowing the system to adapt the BLER target dynamically rather than using a fixed value. This resolves the contradiction by enabling the system to operate at lower BLER (higher reliability) only when necessary, and relax the BLER target under normal conditions to reduce power consumption.
Solution Approach 2:
The patent directly modifies the target BLER parameter to balance reliability and power consumption. By changing the target BLER value based on conditions such as battery level or transmission priorities, the system can achieve lower power consumption when high reliability is not critical, while maintaining the ability to improve reliability when needed. This parameter adjustment mechanism resolves the technical contradiction between reliability and energy usage.
2Reliability
If the target BLER is reduced to improve reliability, then the error rate decreases, but the device complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of the target BLER parameter based on real-time conditions. The UE can request changes to the target BLER, and the base station can respond with indications to change it, allowing the system to adapt the BLER target dynamically rather than using a fixed value. This resolves the contradiction by enabling the system to operate at lower BLER (higher reliability) only when necessary, and relax the BLER target under normal conditions to reduce computational complexity.
Solution Approach 2:
The patent directly modifies the target BLER parameter to balance reliability and computational complexity. By changing the target BLER value based on conditions such as battery level or transmission priorities, the system can achieve lower computational complexity when high reliability is not critical, while maintaining the ability to improve reliability when needed. This parameter adjustment mechanism resolves the technical contradiction between reliability and device complexity.
3Use of energy by moving object
If dynamic BLER adjustment is implemented to save power, then power consumption decreases, but the system complexity increases
Solution Approach 1:
The patent enables the UE to autonomously determine when to request target BLER changes based on its own conditions (such as battery level or transmission priorities). The UE can independently initiate the BLER adjustment process without requiring complex centralized control, thereby reducing overall system complexity while achieving power savings. The self-service mechanism allows the UE to manage its own power consumption by autonomously triggering BLER adjustments when appropriate.
Solution Approach 2:
The patent implements a feedback mechanism where the UE monitors its own operational conditions and provides feedback by requesting target BLER changes when power savings are needed. The base station responds to these requests with appropriate BLER adjustments. This feedback loop enables automatic power optimization without requiring complex external control systems, resolving the contradiction between power savings and system complexity.
Data Source
AI summary
Methods, apparatuses, and computer-readable storage medium for changing BLER are provided. An example method may include transmitting, to the base station, a request to change a target BLER. The example method may further include receiving, from the base station and in response to the request, an indication to change the target BLER.