Dynamic Repetition Configuration for Downlink Channels
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Solution Overview
Problem
Current wireless communication technologies, such as LTE and NR, face challenges in optimizing repetition configurations for downlink channels, leading to inefficient use of network resources due to excessive repetitions under good channel conditions and inadequate coverage under poor channel conditions.
Innovation Solution
A method and apparatus for user equipment (UE) to receive channel configuration information, identify the appropriate repetition configuration based on the channel conditions, and dynamically adjust the number of repetitions for downlink channels, allowing for enhanced network coverage and reduced resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed repetition configuration is used for downlink channels, then network coverage can be ensured under poor channel conditions, but network resources are wasted due to excessive repetitions under good channel conditions
Solution Approach 1:
The patent implements dynamic repetition configuration where the base station determines the number of repetitions based on real-time channel conditions (e.g., RSRP, RSRQ, SINR measurements). The repetition factor is adjusted dynamically: higher repetitions for poor channel conditions to ensure coverage, and lower or zero repetitions for good channel conditions to conserve resources. This transforms the static repetition approach into a dynamic adaptive system.
Solution Approach 2:
The patent changes the repetition parameter (number of repetitions) based on channel condition parameters. The base station measures channel quality indicators and maps these measurements to appropriate repetition configurations. This parameter adaptation allows the system to optimize between coverage and resource efficiency by adjusting the repetition factor according to actual channel state.
2Productivity
If dynamic repetition configuration is implemented, then network resource utilization is optimized, but system complexity increases due to channel condition monitoring and configuration management
Solution Approach 1:
The patent employs feedback mechanisms where the base station monitors channel conditions (RSRP, RSRQ, SINR) and uses this feedback to determine appropriate repetition configurations. The system continuously receives channel quality feedback from UEs and adjusts repetition factors accordingly, creating a closed-loop control system that balances complexity with performance optimization.
Solution Approach 2:
The base station autonomously determines repetition configurations based on its own measurements and UE feedback without requiring complex external coordination. The system self-adjusts repetition factors by evaluating channel conditions and selecting appropriate configurations from predefined sets, reducing the need for manual configuration management while maintaining optimization.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive information identifying a channel configuration associated with a downlink channel. The user equipment may identify a repetition configuration for the downlink channel based at least in part on the channel configuration. The user equipment may monitor for the downlink channel in accordance with the repetition configuration based at least in part on identifying the repetition configuration. Numerous other aspects are provided.