5G Slice Radio Resource Allocation with Policy Ratio Tiers
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Solution Overview
Problem
Existing radio resource management methods in 5G networks do not adequately consider slice-related constraints and service level agreements, leading to inefficient allocation of resources in a 5G-slicing environment.
Innovation Solution
A system and method for optimizing radio resource allocation in 5G-slicing environments by implementing dedicated, prioritized, and shared resource allocation rules based on RRM Policy Ratio Instances, ensuring that each PDU session receives appropriate resources according to its slice-specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing radio resource management methods are used, then general network operation is maintained, but resource allocation efficiency for network slices is insufficient
Solution Approach 1:
The patent segments radio resources into three distinct types: dedicated resources, prioritized resources, and shared resources. This segmentation is implemented through RRM Policy Ratio Instances that define allocation ratios for each resource type, enabling differentiated resource allocation across multiple network slices while maintaining overall network operation.
2Reliability
If dedicated resources are reserved for priority traffic, then service level agreements are met, but overall resource utilization may decrease
Solution Approach 1:
The patent implements dynamic resource allocation where the amount of dedicated, prioritized, and shared resources is not fixed but can be adjusted based on network conditions and slice requirements. The RRM Policy Ratio Instances allow flexible configuration of resource allocation ratios, enabling the system to optimize between reliability and productivity dynamically.
Solution Approach 2:
The patent changes the parameters of resource allocation by introducing RRM Policy Ratio Instances that define allocation ratios for dedicated, prioritized, and shared resources. These parameters can be modified to adapt to different network conditions, slice requirements, and traffic patterns, allowing optimization of both service level agreement compliance and overall resource utilization.
3Adaptability or versatility
If multiple RRM Policy Ratio Instances are configured for different slices, then slice-specific requirements are met, but system complexity increases
Solution Approach 1:
The patent creates a universal RRM policy framework where RRM Policy Ratio Instances serve multiple network slices simultaneously. Each instance defines resource allocation ratios that can be applied across different slices, reducing the need for separate complex configurations for each slice while still meeting slice-specific requirements.
Data Source
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AI summary
In a method for optimizing radio resource allocation for 5G-slicing environment, each of the downlink (DL) and uplink (UL) schedulers allocate resources to each protocol data unit (PDU) session according to the following rules for each radio resource management (RRM) policy ratio instance n, n=1,2, ... , N: i) dedicated resource allocation: an aggregate of X_n % of total available resources Avail_RBTOT is allocated to all PDU sessions belonging to slices in a member List L_n; ii) prioritized resource allocation: an aggregate of (Y_n - X_n)% of Avail_RBTOT is allocated to PDU sessions belonging to slices in L_n, and iii) shared resource allocation: remaining resources are shared by all signaling radio bearers (SRBs), Medium Access Control elements (MAC-CEs) and PDU sessions, such that the aggregate resources allocated to PDU sessions in L_n do not exceed Z_n % of Avail_RBTOT for each n = 0, 1, 2, ... , N.