URLLC Uplink Grant Selection for Low-Latency Reliable Transmission
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Solution Overview
Problem
Existing methods for ultra-reliable low-latency communication (URLLC) uplink transmission in 5G NR systems suffer from high latency due to random or suboptimal selection of configured grants, limiting the ability to efficiently handle variable data sizes and service types.
Innovation Solution
A method for UE and base station to intelligently select the best configured grant resources by considering multiple parameters such as transport block size, transmission power, latency, and reliability, using link prediction techniques like RBIR/EESM to ensure optimal resource allocation for URLLC uplink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a UE transmits multiple uplink channels (PUCCH and PUSCH) simultaneously to different TRPs, then reliability is improved through diversity, but uplink resource waste occurs due to redundant transmissions
Solution Approach 1:
The network pre-configures multiple uplink resource pools with different redundancy ratios before transmission. The UE selects the appropriate resource pool based on current channel conditions and reliability requirements, avoiding the need to transmit redundant copies of the same data while ensuring sufficient reliability through adaptive resource selection.
Solution Approach 2:
The patent changes the redundancy ratio parameter of uplink resources dynamically. Different uplink resource pools are configured with different redundancy ratios, allowing the system to adapt to varying reliability requirements and channel conditions. This resolves the contradiction by using higher redundancy only when necessary, rather than always transmitting redundant copies.
2Adaptability or versatility
If a UE is configured with multiple uplink resource pools with different redundancy ratios, then adaptability is improved for different reliability requirements, but device complexity increases due to multiple configurations
Solution Approach 1:
The uplink resources are segmented into multiple resource pools, each with different redundancy ratios suited for different reliability requirements. The UE maintains separate configurations for each pool but selects only one for transmission at a time, simplifying the effective complexity while providing adaptability across different service types.
Solution Approach 2:
The UE configures multiple uplink resource pools with different redundancy ratios, but only activates and uses one pool at a time for transmission. This partial action approach provides the adaptability of multiple configurations while avoiding the full complexity of managing and transmitting from all pools simultaneously.
3Reliability
If redundancy ratio is increased for ultra-reliable transmission, then reliability is improved, but uplink resource efficiency decreases due to higher overhead
Solution Approach 1:
Different uplink resource pools are configured with different local qualities (redundancy ratios) matched to specific service requirements. URLLC traffic uses pools with higher redundancy ratios for reliability, while eMBB traffic uses pools with lower redundancy ratios for efficiency. This local differentiation resolves the contradiction by applying high redundancy only where absolutely necessary.
Solution Approach 2:
Multiple uplink resource pools serve different functions with different redundancy ratios. The system achieves universality by having a set of pools that can handle both high-reliability URLLC traffic and high-efficiency eMBB traffic, with each pool optimized for its specific function rather than using a single universal configuration.
Data Source
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AI summary
A method of resource selection by a user equipment (UE) is provided. The method includes detecting a need of an uplink transmission having a plurality of transmission parameters for at least one application from a plurality of applications having an associated transmission requirement. The method includes determining a set of configured grant resources available to the UE along with the associated plurality of grant resource parameters. The method includes determining transmission capability for the set of configured grant resources by analyzing the grant resource parameters. The method includes selecting at least one configured grant resource from the set of configured grant resources satisfying at least one transmission requirement of the at least one application.