Uplink Sounding Resource Allocation via Neural Network Interference Prediction
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Solution Overview
Problem
Existing wireless communication systems face challenges in minimizing uplink interference in radio access networks, particularly due to cyclic shift re-usage in neighboring cells, which leads to performance degradation and increased block error rates.
Innovation Solution
A neural network-based approach is employed to predict interference probabilities and dynamically optimize uplink sounding resources allocation. This involves determining vectors of uplink sounding channel resources, predicting interference probabilities, and selecting a radio access network resources configuration vector to counteract uplink interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cyclic shift re-usage is implemented in neighboring cells to increase resource utilization, then resource efficiency is improved, but uplink interference increases and performance degradation occurs
Solution Approach 1:
The patent implements dynamic resource allocation where the network device adjusts sounding channel resource configurations based on real-time interference conditions. The system transitions from static cyclic shift re-usage to dynamic adaptation, modifying resource allocation vectors when interference thresholds are exceeded, thereby resolving the contradiction between resource utilization and interference management
Solution Approach 2:
The patent employs feedback mechanisms where the network device receives interference information from user equipment and adjusts resource allocation accordingly. The system monitors uplink interference levels and feeds this information back to modify the sounding channel resource configuration, creating a closed-loop control that balances resource utilization with interference suppression
2Ease of operation
If static resource configuration is used to simplify system operation, then ease of operation is improved, but adaptability to changing interference conditions deteriorates
Solution Approach 1:
The patent enables the system to self-adjust resource configurations automatically based on detected interference conditions. The network device autonomously modifies sounding channel resource allocation without requiring manual reconfiguration, maintaining operational simplicity while achieving adaptive interference mitigation through self-service mechanisms
Solution Approach 2:
The patent pre-configures multiple resource allocation vectors and interference threshold levels that can be rapidly deployed when conditions change. By preparing alternative configurations in advance, the system maintains simple operation while enabling quick adaptation to varying interference environments through pre-planned response options
Data Source
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AI summary
In accordance with example embodiments of the invention there is at least a method an apparatus to perform determining a vector of uplink sounding channel resources in a cell at a user equipment position, wherein the vector of uplink sounding channel resources is associated with a sounding channel parameters configuration allocated to the user equipment for uplink transmissions; based on the determined vector of uplink sounding channel resources in the cell at the user equipment and a vector of uplink sounding channel resources of a neighboring cell, predicting a set of interference probabilities which forms an interference-based distribution due to uplink sounding channel resources in at least one neighbor cell; and based on the predicted set of interference probability, selecting a radio access network resources configuration vector associated with a sounding channel resource for the user equipment to counteract uplink interference in the radio access network.