5G NR Data Transmission Dynamic RV Adjustment for URLLC Latency
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Solution Overview
Problem
The existing 5G NR system faces challenges in achieving a flexible compromise between high reliability and low complexity while ensuring low latency for URLLC services, as conventional schemes struggle to meet both requirements simultaneously.
Innovation Solution
The proposed method involves a data transmission approach where a terminal adjusts its RV value or DMRS from a current value to another value when transmitting data beyond a configured period, with the network device providing resource configuration information that includes parameters such as resource allocation periods, repetition quantities, and allowed transmission occasions beyond the period boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If repeated transmission scheme is used to increase reliability, then reliability is improved, but latency increases
Solution Approach 1:
The patent implements dynamic adjustment of repetition quantity based on channel conditions and transmission requirements. The network device can flexibly configure the number of repetitions (K0, K1, K2) depending on the current channel state, allowing the system to adapt between reliability and latency requirements in real-time, rather than using fixed repetition schemes
Solution Approach 2:
The patent changes the parameter of repetition quantity from a fixed value to a dynamically adjustable parameter. By modifying the repetition count based on channel quality indicators and transmission priority, the system can optimize the balance between reliability (more repetitions) and latency (fewer repetitions) for different transmission scenarios
2Adaptability or versatility
If flexible transmission scheme is implemented to compromise between reliability and complexity, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent uses parameter changes by dynamically adjusting the repetition quantity parameter based on channel conditions and transmission requirements. This allows flexible adaptation to different URLLC scenarios without requiring complex structural changes to the transmission framework
Solution Approach 2:
The network device performs preliminary configuration of repetition parameters based on predicted channel conditions and transmission requirements. By pre-configuring appropriate repetition quantities before actual transmission, the system reduces real-time decision complexity while maintaining adaptability
Data Source
AI summary
A data transmission method and device are provided in embodiments of this disclosure. The method includes: starting to transmit data to a network device on a resource configured in one period; changing an RV value or a resource or a DMRS from a current value to another value in case that a terminal needs to transmit data beyond the boundary of the period.