Semi-Persistent Scheduling With Adaptive Compression for XR Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communications systems face challenges in managing semi-persistent scheduling (SPS) and compression adaptation, particularly in extended reality (XR) communications, where changing channel conditions lead to dropped frames, buffering, and increased latency, complexity, and power consumption due to the need for frequent adjustments in resource configuration across multiple XR devices.
Innovation Solution
User equipment (UE) adapts compression parameters based on measured channel conditions during SPS periods, adjusting compression levels to optimize signal transmission for multiple XR devices by increasing or decreasing compression parameters in response to changes in channel capacity and spectral efficiency, thereby generating and transmitting compressed signals that reduce latency and improve resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If compression parameters are frequently adjusted to adapt to changing channel conditions, then communication efficiency and reliability are improved, but device complexity and power consumption increase
Solution Approach 1:
The patent implements dynamic compression parameter adaptation where the UE monitors channel conditions (RSRP, RSRQ, SINR) and adjusts compression parameters in real-time based on measured channel quality. This dynamic adjustment mechanism allows the system to adapt to changing channel conditions without manual intervention, improving communication reliability while maintaining automated operation.
Solution Approach 2:
The patent changes compression parameters (such as compression ratio, encoding complexity) based on measured channel conditions. When channel quality is good, higher compression ratios are applied; when channel quality degrades, compression parameters are adjusted to ensure reliable transmission. This parameter adaptation resolves the contradiction by automatically optimizing communication reliability without requiring complex manual configuration.
2Productivity
If compression parameters are frequently adjusted to adapt to changing channel conditions, then communication efficiency is improved, but power consumption increases
Solution Approach 1:
The patent implements periodic channel condition monitoring and compression parameter adjustment rather than continuous adjustment. The UE measures channel conditions at specific intervals (e.g., at the beginning of each SPS period or when threshold changes are detected) and updates compression parameters accordingly. This periodic approach maintains communication efficiency while reducing the power consumption associated with constant monitoring and adjustment.
Solution Approach 2:
The patent employs feedback mechanisms where the UE monitors channel conditions and uses this feedback to adjust compression parameters only when necessary. The system compares current channel measurements against threshold values and triggers parameter adjustments only when channel conditions cross these thresholds, thereby maintaining communication efficiency while minimizing unnecessary power consumption from frequent adjustments.
3Ease of operation
If fixed resource configuration is used for multiple XR devices, then resource allocation simplicity is improved, but adaptability to varying channel conditions deteriorates
Solution Approach 1:
The patent transforms the static resource configuration into a dynamic system where compression parameters are adjusted based on real-time channel conditions. While the SPS resource allocation framework remains fixed (maintaining simplicity), the compression parameters applied to these resources are dynamically adapted to channel conditions, thereby achieving both ease of operation and channel adaptability.
Solution Approach 2:
The patent changes compression parameters (such as compression ratio, encoding complexity) based on measured channel conditions. When channel quality is good, higher compression ratios are applied; when channel quality degrades, compression parameters are adjusted to ensure reliable transmission. This parameter adaptation resolves the contradiction by automatically optimizing communication reliability without requiring complex manual configuration.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some cases, a user equipment (UE) may transmit a control message indicating semi-persistent (SP) resources for multiple wireless devices scheduling within a set of resource reservation periods. The UE may measure one or more channel conditions of a channel during a first resource reservation period of the set of resource reservation periods, the channel associated with the SP resources for the multiple wireless devices. Additionally, the UE may adapt a compression parameter of one or more signals to be transmitted to the multiple wireless devices during the first resource reservation period based on the one or more channel conditions and may transmit, to the multiple wireless devices, one or more compressed signals generated based on the compression parameter and the one or more signals.