PUCCH Resource Scaling for Reliable UCI Repetitions
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Solution Overview
Problem
Existing wireless communication systems face challenges in optimizing resource allocation for uplink control information (UCI) repetitions to enhance coverage and reliability, particularly in limited coverage scenarios.
Innovation Solution
Adjusting the number of repetitions and time intervals for PUCCH transmissions based on UCI payload size and coding rate to optimize resource allocation, allowing for flexible scaling of resources in the time and frequency domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of repetitions and time intervals for PUCCH transmissions is increased to enhance coverage, then communication reliability is improved, but resource consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of repetition number and time interval based on real-time channel conditions, UE capability, and payload size. The network can flexibly configure these parameters through RRC signaling, allowing the system to adapt resource allocation to actual communication needs rather than using fixed repetition schemes, thus improving reliability only when necessary while conserving resources.
Solution Approach 2:
The patent changes key transmission parameters (repetition number, time interval, frequency resources) based on payload size and channel conditions. For different UCI payload sizes, different parameter configurations are applied, enabling optimized resource usage across various transmission scenarios while maintaining communication reliability.
2Productivity
If resources are allocated flexibly based on payload size and coding rate, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent pre-configures multiple parameter sets for different payload sizes and channel conditions through RRC signaling. The UE and network side both store these pre-configured parameters, allowing quick selection without complex real-time calculations, thus improving resource allocation efficiency while limiting complexity growth through predefined configurations.
Solution Approach 2:
The UE autonomously determines which pre-configured parameter set to use based on the actual payload size and channel conditions, without requiring complex network-side scheduling decisions for each transmission. This self-service approach simplifies the overall system complexity while maintaining flexible and efficient resource allocation.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may adjust resources (e.g., time resources, frequency resources) used to transmit repetitions of uplink control information (UCI) over a physical uplink control channel (PUCCH). The UE may adjust two parameters corresponding to different scales (e.g., levels) of adjustment, where a first parameter corresponds to a number of repetitions of a PUCCH resource and a second parameter corresponds to a number of slots within each PUCCH repetition. The UE may adjust the resources based on the first parameter, the second parameter, a size of UCI, a maximum coding rate, or some combination thereof, such that the PUCCH resources carrying UCI satisfy the maximum code rate and UCI size.