IAB Node Path Selection Using NSSAI and Telemetry
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Solution Overview
Problem
Current radio access networks (RANs) face challenges in optimizing network paths for mobile devices to reduce service latency and bandwidth loading, as they lack efficient methods to select the best paths based on real-time network information such as telemetry data.
Innovation Solution
The implementation of Integrated Access and Backhaul (IAB) nodes, which integrate access and backhaul functions, allows for the selection of optimal network paths using Network Slice Selection Assistance Information (NSSAI) and Per Flow Descriptors (PFD) along with telemetry data like link latencies, traffic, and error rates, enabling the system to route traffic through the most suitable paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional RAN path selection methods are used, then network path selection is simple, but service latency is high and bandwidth loading is not optimized
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing telemetry data, NSSAI, and PFD information before traffic needs to be routed. Routing tables are pre-computed and prepared based on current network conditions, so when traffic arrives, the optimal path is already determined and ready for immediate use, reducing service latency without adding complex real-time decision-making overhead.
Solution Approach 2:
The patent introduces an intermediary routing table mechanism that mediates between the complex network conditions (telemetry data, NSSAI, PFD) and the simple path selection decision. The routing table acts as a pre-processed intermediary structure that translates complex multi-parameter network state into straightforward path selection rules, reducing the complexity of real-time path selection while optimizing service latency.
2Productivity
If dynamic path selection based on multiple parameters is implemented, then bandwidth usage is optimized, but system complexity increases
Solution Approach 1:
The system segments the path selection process into distinct components: telemetry data collection, NSSAI matching, PFD evaluation, and routing table generation. Each component handles a specific aspect of the decision-making process independently. This segmentation allows the system to optimize bandwidth utilization through comprehensive parameter analysis while managing complexity by dividing the control system into modular, manageable segments that can be implemented and maintained separately.
3Reliability
If real-time telemetry data is used for path selection, then network performance is optimized, but data processing requirements increase
Solution Approach 1:
The system employs periodic action by collecting and processing telemetry data at regular intervals rather than continuously for every packet. Routing tables are updated periodically based on accumulated telemetry data, NSSAI changes, and PFD updates. This periodic processing approach maintains reliable network performance through real-time data utilization while significantly reducing the energy consumption associated with continuous data processing and analysis.
Data Source
AI summary
A network device may receive Network Slice Selection Assistance Information (NSSAI) and network information from network components and from a set of Integrated Access and Backhaul (IAB) nodes; generate descriptions of, or updates to the descriptions of, routing paths based on the NSSAI and the network information; and send the descriptions or the updates to the IAB nodes. The routing paths may include one or more backhaul links between the IAB nodes, and the descriptions and the updates associate each of the routing paths with one or more Single-NSSAIs (S-NSSAIs).