Sidelink Channel State Detection for Adaptive UE Power Saving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radio communication systems face challenges in optimizing power consumption and resource allocation in sidelink channels, particularly in varying traffic conditions, leading to inefficient energy usage and potential data loss.
Innovation Solution
A method and apparatus for determining a state associated with a sidelink radio channel, adjusting active and sleep modes based on channel congestion, and dynamically allocating radio resources to optimize power saving and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the apparatus continuously monitors and decodes data on the direct mode radio channel, then communication reliability is improved, but power consumption increases
Solution Approach 1:
The apparatus dynamically adjusts its monitoring and decoding behavior based on the determined state of the direct mode radio channel. When the state indicates low usage, the apparatus reduces monitoring activity and enters sleep mode, thereby reducing power consumption while maintaining the ability to detect channel changes and resume communication when needed.
Solution Approach 2:
The system changes operational parameters (monitoring frequency, decoding activity, active/sleep mode transitions) based on the determined channel state. By adjusting these parameters according to actual channel conditions, the system achieves both power saving during low-activity periods and reliable communication when the channel is active.
2Use of energy by moving object
If the apparatus reduces monitoring of the direct mode radio channel to save power, then power consumption decreases, but data loss may increase
Solution Approach 1:
The apparatus continuously determines the state of the direct mode radio channel and uses this feedback to adjust its monitoring and decoding behavior. This closed-loop approach ensures that the apparatus only reduces activity when the channel state indicates low usage, thereby minimizing data loss while maximizing power savings.
Solution Approach 2:
The apparatus performs preliminary state determination before entering sleep mode, ensuring that the channel is indeed in a low-usage state. This preliminary check prevents premature sleep mode transitions that could result in data loss, while still enabling power savings when appropriate.
3Device complexity
If the apparatus uses fixed active and sleep mode periods, then device complexity is reduced, but adaptability to varying traffic conditions deteriorates
Solution Approach 1:
The apparatus dynamically determines active and sleep mode periods based on the state of the direct mode radio channel rather than using fixed periods. This dynamic approach enables the system to adapt to varying traffic conditions while maintaining relatively simple device complexity, as the adaptation is achieved through state-based decision logic.
4Measurement precision
If the apparatus monitors the entire frequency spectrum, then detection precision is improved, but power consumption and processing load increase
Solution Approach 1:
The apparatus segments the frequency spectrum into subsets and selectively monitors only relevant portions based on the determined channel state. This segmentation approach maintains detection precision for critical communications while reducing overall power consumption and processing load by avoiding monitoring of the entire spectrum.
Data Source
AI summary
A method for operating an apparatus (UE) comprising: determining (130), in an active mode, a state associated with a direct mode radio channel; and determining (160; 170), in the active mode, at least one subset of a plurality of radio resources of the direct mode radio channel based on the determined state.