Multi-Level Coding Selection for Power-Aware Wireless Links
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing power consumption, particularly in adapting encoding algorithms to optimize battery life and network performance, as they often rely on single-level encoding schemes that may not dynamically adjust to varying channel conditions.
Innovation Solution
Implementing a multi-level coding scheme that specifies a first encoding algorithm for level 1 coding and a second encoding algorithm for level 2 coding based on power management, allowing network entities and user equipment to dynamically switch between these algorithms to reduce power consumption while maintaining commensurate performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If single-level encoding schemes are used, then device complexity is reduced, but power consumption efficiency deteriorates
Solution Approach 1:
The encoding scheme is divided into multiple levels (first level encoding algorithm and second level encoding algorithm), where each level handles different aspects of error protection. This segmentation allows the system to selectively apply appropriate encoding complexity based on channel conditions, improving power consumption efficiency by avoiding unnecessary complex encoding when channel conditions are good.
Solution Approach 2:
The system dynamically switches between different encoding algorithms based on channel conditions and power management requirements. The network entity can indicate to the UE whether to use the first encoding algorithm or the second encoding algorithm, allowing adaptive adjustment of encoding complexity to optimize power consumption efficiency under varying operational conditions.
2Reliability
If complex encoding algorithms are used, then reliability is improved, but power consumption increases
Solution Approach 1:
The system changes encoding parameters (algorithm selection) based on channel conditions and power management state. When channel conditions are poor, the system uses more complex encoding algorithms to provide stronger error protection. When channel conditions are good or power saving is prioritized, the system uses simpler encoding algorithms, thus adapting the reliability level to actual needs and reducing unnecessary power consumption.
Solution Approach 2:
The network entity receives feedback about channel conditions and power management state, then adjusts the encoding algorithm selection accordingly. This feedback mechanism ensures that complex encoding algorithms are only used when actually needed for reliability, rather than being applied continuously, thereby reducing overall power consumption while maintaining necessary protection against bit errors.
3Adaptability or versatility
If adaptive encoding is implemented, then adaptability to channel conditions is improved, but device complexity increases
Solution Approach 1:
The system implements a universal multi-level encoding framework that can handle multiple channel conditions and power management scenarios. The same encoding structure (with first and second level algorithms) serves multiple functions: providing different levels of error protection, adapting to varying channel conditions, and supporting power management requirements. This multi-functionality achieves adaptability without requiring entirely separate encoding systems for each scenario.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network entity may transmit, to a user equipment (UE), an indication of a multi-level coding scheme that specifies a first encoding algorithm associated with level 1 coding and a second encoding algorithm associated with level 2 coding based at least in part on power management. The network entity may communicate with the UE based at least in part on the multi-level coding scheme. Numerous other aspects are described.