Network Node Resource Allocation for URLLC Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication networks face challenges in providing ultra-reliable low latency communications, particularly in managing resource allocation effectively to meet the stringent latency and reliability requirements of diverse usage scenarios in 5G networks.
Innovation Solution
A network node is configured to determine available resources and implement reliability-increasing resource allocation for higher priority traffic by selecting appropriate modulation coding schemes based on channel conditions, shifting resources from non-higher priority traffic when necessary, and using channel quality index values to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reliability increasing resource allocation is used for higher priority traffic, then reliability of ultra-reliable low latency communications is improved, but resource availability for other traffic deteriorates
Solution Approach 1:
The patent applies local quality by implementing differentiated resource allocation strategies for different traffic types. Higher priority traffic (URLLC) receives reliability-increasing resource allocation with more robust modulation coding schemes, while non-higher priority traffic receives standard allocation. This localized optimization ensures URLLC reliability requirements are met without unnecessarily reducing resources for other traffic types that have less stringent requirements.
Solution Approach 2:
The patent changes the parameter of modulation coding scheme selection by using lower channel quality index values for higher priority traffic, which selects more robust (reliable) modulation and coding schemes. This parameter change increases reliability for URLLC traffic while the system monitors and manages overall resource availability to prevent excessive resource consumption.
2Loss of time
If resources are shifted from non-higher priority traffic to higher priority traffic, then latency for ultra-reliable low latency communications is reduced, but resource allocation for other traffic deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation that adapts to traffic conditions. The network node continuously monitors channel conditions and traffic priorities, dynamically shifting resources from non-higher priority traffic to higher priority URLLC traffic when needed. This dynamic approach reduces URLLC latency by providing timely resource allocation while maintaining overall network productivity through flexible resource management that responds to changing conditions.
Solution Approach 2:
The patent applies preliminary action by proactively allocating sufficient resources to higher priority URLLC traffic before latency-critical transmissions occur. The network node determines available resources and configures reliability-increasing resource allocation in advance, ensuring that when URLLC traffic arrives, resources are already prepared and allocated, thereby minimizing latency without requiring excessive ongoing resource shifts that would harm overall productivity.
3Reliability
If reliability increasing resource allocation is used, then channel condition robustness is improved, but resource consumption increases
Solution Approach 1:
The patent applies local quality by implementing reliability-increasing resource allocation selectively only for higher priority URLLC traffic that requires robust channel condition handling, rather than applying it uniformly to all traffic. For non-higher priority traffic, standard resource allocation is maintained. This localized approach improves channel condition robustness where needed while preventing excessive overall resource consumption.
Solution Approach 2:
The patent uses partial action by applying reliability-increasing measures (more robust modulation coding schemes) only to the extent necessary for URLLC traffic requirements, rather than applying excessive robustness to all traffic. The network node carefully selects modulation coding schemes based on channel conditions and traffic priority, using more robust schemes partially for URLLC traffic while maintaining efficient schemes for other traffic, thereby achieving necessary reliability without excessive resource consumption.
Data Source
AI summary
When a network node providing wireless access and serving plurality of user devices receives information on channel conditions from one or more user devices, the network node determines available resources for traffic to and from the one or more user devices; and, when there is higher priority traffic, the network node uses reliability increasing resource allocation for the higher priority traffic at least as long as there are enough resources available.