Network Unit Target Node Selection Using Computational Resources
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Solution Overview
Problem
Current 5G communications networks are inefficient in supporting heterogeneous traffic requirements due to limitations in processing resources at radio network nodes, which are determined based on available radio link and bandwidth resources rather than computational resources, leading to inefficiencies in handling varying latency, energy efficiency, and capacity demands.
Innovation Solution
A method for determining a target radio network node with better radio channel quality and computational resources is implemented, allowing for the association of wireless devices with nodes that have more available processing capacity, thereby alleviating processing load and improving resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radio network nodes determine target nodes based on radio link and bandwidth resources, then radio communication quality is maintained, but computational resource utilization becomes inefficient
Solution Approach 1:
The patent changes the selection parameters from traditional radio link quality metrics to include computational resource availability metrics. The network node evaluates both radio channel quality and computational resource status of candidate target nodes, dynamically adjusting the selection criteria based on current network conditions and device requirements.
Solution Approach 2:
The system implements dynamic target node selection where the criteria for choosing a target radio network node changes based on real-time computational resource availability. The network continuously monitors and updates the status of candidate nodes, allowing the selection process to adapt to varying computational loads and radio conditions.
2Reliability
If wireless devices are associated with radio network nodes based on radio channel quality only, then communication reliability is improved, but processing load at network nodes increases
Solution Approach 1:
The patent introduces computational resource availability as an additional parameter in the node selection process. Instead of solely relying on radio channel quality metrics, the system now considers the processing capacity and current load of candidate target nodes, creating a multi-parameter evaluation framework.
Solution Approach 2:
The network node acts as an intermediary that mediates between the wireless device and potential target nodes. It evaluates both the radio communication quality and the computational resource status of candidate nodes, selecting the optimal target that balances communication reliability with processing capacity.
3Productivity
If radio network nodes serve more wireless devices, then network capacity increases, but latency increases due to processing constraints
Solution Approach 1:
The system performs preliminary evaluation of target nodes' computational resource availability before assigning wireless devices. By pre-assessing the processing capacity of candidate nodes, the network can make informed decisions that prevent overload conditions and maintain low latency while maximizing network capacity.
Solution Approach 2:
The patent implements a feedback mechanism where the network continuously monitors the performance and resource utilization of radio network nodes. This feedback information is used to dynamically adjust device associations, ensuring that devices are served by nodes with adequate processing capacity to maintain low latency while maximizing overall network capacity.
Data Source
AI summary
A method performed by a network unit (140) for determining a target radio network node (112). The network unit (140) and the target radio network node (112) are operating in a wireless communications network (100). The network node determines the target radio network node (112) as one radio network node out of a group of radio network nodes (110, 112, 112′) operating in the wireless communications network (100) and which one radio network node has a combination of a quality of a radio channel to a wireless device (120) and an amount of computational resources available for serving the wireless device (120), which combination is better than the other radio network nodes out of the group of radio network nodes (110, 112, 112′). The target radio network node (112) is for association with the wireless device (120) served by a serving radio network node (110).