Multi-Hop 5G QoS Routing Using Intermediate Node Feedback
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Solution Overview
Problem
Existing 5G IAB networks face challenges in ensuring fairness and managing Quality of Service (QoS) across multi-hop topologies due to limited knowledge of field conditions at intermediate nodes, leading to varying experiences for UEs based on their location in the network.
Innovation Solution
A first node in the multi-hop network collects and analyzes information on conditions such as hop count, congestion, radio conditions, buffer status, and delay at intermediate nodes to select optimal routes that ensure consistent QoS for bearers and logical channels, using techniques like load balancing and bearer aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multi-hop IAB network is deployed to extend coverage, then network coverage area is improved, but QoS consistency deteriorates due to varying hop counts and intermediate node conditions
Solution Approach 1:
The patent implements feedback mechanisms where intermediate nodes report their conditions (buffer status, radio conditions, congestion levels) back to the routing entity. This feedback enables dynamic route selection that adapts to changing network conditions, ensuring QoS consistency across multi-hop paths while maintaining extended coverage.
Solution Approach 2:
The routing methodology dynamically adjusts path selection based on real-time network conditions rather than using static routes. The system continuously evaluates intermediate node conditions and modifies routing decisions to maintain consistent QoS, allowing the network to adaptively manage coverage extension while preserving service quality.
2Reliability
If comprehensive node condition information is collected for optimal routing, then QoS management is improved, but network complexity increases
Solution Approach 1:
The patent segments the QoS management function by having intermediate nodes independently report their local conditions (buffer status, radio conditions, congestion) to a routing entity. This segmentation distributes the information collection burden across multiple nodes rather than requiring a single complex monitoring system, simplifying overall network architecture while achieving comprehensive visibility.
Solution Approach 2:
The routing entity performs multiple functions using the collected information: it selects optimal routes, monitors QoS compliance, and adjusts routing decisions dynamically. This multi-functionality consolidates complexity into a single entity that handles diverse QoS management tasks, reducing overall network complexity while improving QoS management capability.
3Productivity
If load balancing is applied across multiple routes, then resource utilization is improved, but routing decision complexity increases
Solution Approach 1:
The patent changes routing decisions based on varying parameters such as intermediate node conditions, traffic load, and QoS requirements. By dynamically adjusting route selection based on these parameters, the system achieves load balancing across multiple routes, optimizing resource utilization while the parameter-based approach keeps decision-making systematic rather than arbitrarily complex.
Data Source
AI summary
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). Methods, apparatus and/or systems for managing QoS are disclosed. According to an example, a method for managing QoS comprises obtaining first information on one or more conditions at a plurality of second nodes, identifying a plurality of routes from a location to a destination in a multi-hop network, and selecting a first route for a first bearer from among the plurality of routes, based on the first information, second information on a network topology and a first quality of service (QoS) corresponding to the first bearer.