Dynamic Code Block Mapping for UE Power Reduction
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Solution Overview
Problem
Reducing power consumption in user equipment (UE) for wireless communications is challenging due to the energy consumption of antenna elements and downstream radio frequency processing components, with existing demodulation techniques varying in complexity and impacting power efficiency differently.
Innovation Solution
Implementing dynamic code block mapping, where UE reports supported demodulators and performance metrics to the base station, allowing for the selection of the most power-efficient demodulator for each code block, and dynamically adjusting code block mappings based on reported data to optimize power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If dynamic code block mapping with multiple demodulators is implemented, then UE power consumption is reduced, but device complexity increases
Solution Approach 1:
The patent implements dynamic code block mapping where the base station can switch between different demodulators (first demodulator and second demodulator) based on channel conditions and power efficiency requirements. This dynamic selection allows the system to adapt to varying operational conditions and optimize power consumption without being locked into a single fixed demodulation method.
Solution Approach 2:
The system changes operational parameters by selecting different demodulators with different complexity levels and power consumption characteristics. The base station adjusts which demodulator is used for each code block based on factors like channel quality, mobility state, and power efficiency trade-offs, thereby optimizing the energy-performance balance.
2Loss of energy
If multiple demodulators are used for different code blocks, then power efficiency is improved, but code block mapping complexity increases
Solution Approach 1:
The patent segments the downlink transmission into multiple code blocks, each of which can be independently mapped to different demodulators. This segmentation allows fine-grained control over power consumption, as each code block can be processed using the most appropriate demodulator based on its specific characteristics and channel conditions.
Solution Approach 2:
Different code blocks are assigned different demodulators based on their specific requirements and channel conditions. The system applies local optimization by selecting the best demodulator for each code block rather than using a uniform approach, thereby improving overall power efficiency while managing complexity through localized decision-making.
3Use of energy by moving object
If code block mapping duration is extended, then power savings are accumulated, but time flexibility is reduced
Solution Approach 1:
The code block mapping is applied periodically for a defined duration, during which the selected demodulator remains active. This periodic application allows the system to accumulate power savings over multiple transmission cycles while maintaining the flexibility to reconfigure the mapping when channel conditions change or the duration expires.
Data Source
AI summary
A method of wireless communication by a user equipment (UE) includes reporting, to a base station, a requested downlink code block mapping, which has a defined duration. The method also includes receiving a first code block from the base station during the defined period of time. The method further includes receiving a second code block from the base station during the period of time. The method further includes decoding the first code block with a first demodulator according to the code block mapping. The method still further includes decoding the second code block with a second demodulator, which is different from the first demodulator, according to the code block mapping.