Random Access Partition Reporting for RACH Congestion Control
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Solution Overview
Problem
Current RACH optimization in 5G networks does not consider RA resource partitioning based on use cases, features, services, or network slicing, leading to sub-optimal network performance due to limited visibility into the conditions that trigger RACH resource congestion and collisions.
Innovation Solution
UEs are configured to log and report RA information including feature combinations and network slices that triggered the RA procedure, allowing RAN nodes to adjust and optimize RA resource partitions based on this information, reallocating resources to balance load and reduce contention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RA resource partitioning is implemented based on use cases, features, services, or network slicing, then network performance and resource allocation efficiency are improved, but device complexity and configuration complexity increase
Solution Approach 1:
The patent segments RA resources into multiple partitions, where each partition is dedicated to specific use cases, features, services, or network slices. This segmentation allows the network to allocate RA resources more precisely according to different traffic types and service requirements, improving overall network performance while maintaining manageable complexity through structured organization
Solution Approach 2:
The patent implements dynamic RA resource partitioning where the network can flexibly configure and adjust partition parameters based on real-time network conditions, service requirements, and traffic patterns. This dynamic approach enables the system to adapt to changing demands without requiring complete reconfiguration, balancing performance optimization with operational simplicity
2Ease of operation
If RA resource partitioning is implemented without visibility into triggering conditions, then configuration is simpler, but RACH resource congestion and collisions increase
Solution Approach 1:
The patent implements feedback mechanisms where UEs report information about their RA procedures, including which partition was used and what triggered the RA. This feedback loop provides the network with visibility into triggering conditions and partition utilization patterns, enabling data-driven optimization of RA resource allocation to reduce collisions and congestion
Solution Approach 2:
The patent enables the network to pre-configure multiple RA resource partitions with different parameters before actual RA procedures occur. By preparing these partitions in advance based on anticipated service requirements and traffic patterns, the network can immediately direct UEs to appropriate partitions, reducing collision probability without requiring complex real-time decision-making
Data Source
AI summary
Embodiments include methods for a user equipment (UE) configured to operate in a radio access network (RAN). Such methods include performing a random access (RA) procedure to a cell in the RAN. The RA procedure is performed using resources selected from a RA resource partition based on one or more of the following: a feature or feature combination that triggered the RA procedure, and one or more network slices, slice groups, or slice types associated with the RAN. Such methods include logging and storing in a RA report identifiers of at least one of the following: the RA partition, the feature or feature combination that triggered the RA procedure, and the one or more network slices, slice groups, or slice types associated with the RAN. Such methods include sending the RA report to a RAN node. Other embodiments include complementary methods for a RAN node.