Dynamic Network Slice Selection for Real-Time Load Balancing
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Solution Overview
Problem
Existing wireless networks lack the ability to dynamically balance network slice loads without involving UEs, leading to inefficiencies and potential service disruptions.
Innovation Solution
A mechanism is introduced that allows network operators to dynamically select network slices based on real-time load balancing and UE authorization, using AI/ML techniques to refine slice selection rules and conditions, ensuring transparent operation for UEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network operators use static network slice selection without real-time load balancing, then UE operation remains simple and schema definitions stay unchanged, but network performance and reliability deteriorate due to load imbalances and service disruptions
Solution Approach 1:
The network system automatically performs slice selection and load balancing without requiring UE involvement. The network autonomously monitors slice conditions, evaluates candidate slices, and redirects UEs between slices based on real-time network state, eliminating the need for complex UE operations while maintaining high reliability
Solution Approach 2:
The system continuously monitors network slice conditions including load metrics and QoS parameters, uses this feedback to dynamically evaluate candidate slices, and adjusts slice selection decisions in real-time. This closed-loop feedback mechanism ensures reliable service delivery while keeping network operations manageable through automated decision-making
2Productivity
If network operators implement dynamic slice selection with real-time load balancing, then network performance and reliability improve, but the complexity of network operations increases
Solution Approach 1:
The network system autonomously performs slice selection, load evaluation, and UE redirection without human intervention or complex operational procedures. Automated algorithms continuously monitor network state and make real-time slice selection decisions, improving network efficiency while keeping operations simple through self-service automation
Solution Approach 2:
The system dynamically changes network parameters such as slice selection criteria, load thresholds, and QoS parameters based on real-time network conditions. By automatically adjusting these parameters through algorithms rather than manual configuration, the system achieves high network efficiency without proportionally increasing operational complexity
3Reliability
If network operators require UE involvement in load balancing decisions, then slice selection can be optimized, but UE operation complexity increases and transparency is lost
Solution Approach 1:
The network system independently performs all slice selection and load balancing operations without requiring UE participation. The network autonomously evaluates candidate slices, determines optimal selections, and manages UE redirection, ensuring reliable slice selection while maintaining UE operation simplicity through complete network-side automation
Solution Approach 2:
The network acts as an intermediary that transparently handles all slice selection logic between UEs and network services. UEs simply request service while the network intermediary automatically performs complex slice evaluation and selection, ensuring reliable service delivery while keeping UE operations simple and transparent
Data Source
AI summary
A system described herein may receive a communication session request associated with a particular User Equipment (“UE”) and a network that includes a plurality of network slices. The communication session request may include a particular identifier, such as a Data Network Name (“DNN”) or other type of identifier. The system may output a request for network slice information, wherein the request includes the particular identifier; and may receive network slice information that indicates multiple network slices that were selected based on the particular identifier. A Unified Data Management function (“UDM”), Unified Data Repository (“UDR”), and/or other element of the network may provide such information. The system may identify network slice priority information that indicates relative priorities of the network slices, may select a particular network slice based on the network slice priority information, and may respond to the communication session request in accordance with the selected first network slice.