5G Core Network Selection of Energy-Aware Background Data Transfer Policies
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 5G communication systems lack the ability to select background data transfer policies that consider energy consumption and efficiency requirements, leading to inefficient data transfer.
Innovation Solution
A network function within the core network receives energy requirements from an external application and acquires a background data transfer policy that satisfies these requirements by utilizing analytics information from a network data analytics function, selecting from stored policies in a unified data repository.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If background data transfer is performed without considering energy requirements, then data transfer can be executed simply, but energy consumption increases and efficiency deteriorates
Solution Approach 1:
The network function retrieves multiple pre-stored BDT policies from the unified data repository before execution. Energy requirement information is obtained in advance from the network data analytics function, allowing the system to pre-select appropriate policies that satisfy energy constraints before actual data transfer begins, thus avoiding complex real-time decisions during data transfer.
Solution Approach 2:
The system incorporates energy requirement information provided by the network data analytics function as feedback to guide policy selection. The network function uses this feedback to filter and select BDT policies that satisfy the energy constraints, creating a closed-loop system where energy performance is monitored and used to adjust future policy selections.
2Productivity
If multiple BDT policies are stored and evaluated to meet energy requirements, then energy efficiency improves, but the complexity of policy management increases
Solution Approach 1:
The unified data repository serves multiple functions: it stores BDT policies, provides energy requirement information from the network data analytics function, and enables policy selection based on energy constraints. This multi-functional approach consolidates what would otherwise be separate complex management systems into a single unified structure, reducing overall system complexity while maintaining high data transfer efficiency.
3Adaptability or versatility
If BDT policies are selected based only on basic parameters, then policy selection is simple, but energy consumption and environmental sustainability are compromised
Solution Approach 1:
The system extends basic policy selection parameters by incorporating energy requirement information as an additional selection criterion. Instead of selecting policies based solely on basic parameters like data volume or timing, the network function now evaluates policies against energy constraints, dynamically adjusting selection based on varying energy requirements while maintaining a structured approach through the unified data repository.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An information processing method comprises a first network function (NF) (2) within a core network executing: receiving, from a second NF (1), a provision request for a BDT policy to be utilized when background data transfer is performed, and an energy requirement that is a requirement regarding energy related to communication; and acquiring a BDT policy that satisfies the energy requirement.