Logical Network Resource Allocation for 5G Slices
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Solution Overview
Problem
Efficiently provisioning network resources to network slices with diverse Quality of Service (QoS) requirements in 5G networks is challenging due to heterogeneity and dynamism of physical infrastructure and services.
Innovation Solution
A graph-based approach with an Integer Linear Programming (ILP) optimization model and a heuristic that maps virtual nodes to physical nodes and virtual links to physical paths, considering node importance and resource constraints, to allocate resources efficiently and reduce infrastructure costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are allocated to meet diverse QoS requirements for multiple network slices, then service quality and reliability are improved, but infrastructure costs and resource usage complexity increase
Solution Approach 1:
The patent segments the physical network into multiple logical network slices, each tailored to specific service requirements. Each slice is independently managed and allocated resources based on its specific QoS needs, allowing efficient resource utilization across heterogeneous services while maintaining service isolation and quality guarantees.
Solution Approach 2:
The patent dynamically adjusts resource allocation parameters based on real-time QoS requirements and network conditions. The system modifies bandwidth, latency, packet loss thresholds, and resource distribution to optimize the balance between meeting diverse service requirements and minimizing infrastructure consumption.
2Adaptability or versatility
If physical nodes and links are selected to implement network slice requirements, then network slice functionality is achieved, but the complexity of identifying and mapping resources increases
Solution Approach 1:
The patent introduces a resource mapping and allocation system that acts as an intermediary between network slice requirements and physical infrastructure. This intermediary layer translates abstract service requirements into concrete physical node and link selections, automatically handling the complexity of resource identification and mapping while enabling flexible network slice customization.
Solution Approach 2:
The system performs preliminary resource reservation and pre-configures physical paths before network slices are fully deployed. By pre-allocating resources and establishing connection templates in advance, the system reduces the complexity of real-time resource mapping and enables faster, more reliable network slice provisioning.
Data Source
AI summary
Techniques are provided for logical network resource allocation and creation. One method comprises obtaining a representation of virtualized resources to allocate for a logical network within a physical network, wherein the physical network comprises physical nodes and physical links, wherein the virtualized resources comprise virtual nodes and virtual links, and wherein the physical nodes host one or more virtual nodes and one or more of the physical links host a given virtual link; obtaining a first ordered list of the plurality of virtual nodes; obtaining a second ordered list of the plurality of physical nodes; for a virtual node in the first ordered list: selecting and allocating a physical node from the second ordered list as a host for the virtual node; and allocating a physical path for the virtual links associated with the virtual node. The logical network can be created using the allocated physical nodes and physical links.