Cell Deployment Information Relay for Accurate 5G Network Prediction
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Solution Overview
Problem
Modern cellular communications networks, particularly 5G networks, face challenges in managing a large number of user equipments with diverse usage patterns and behaviors, leading to complex operational situations that require precise and relevant statistics and predictions for optimizing network performance, which current systems struggle to provide.
Innovation Solution
A method and system that enables user equipment to receive and transmit information about the current deployment conditions of network cells, such as coverage, geographical environment, and infrastructure status, to application entities within the network, enhancing the precision of network analytics and decision-making processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the network collects and analyzes data from multiple network functions to provide predictions, then the precision and relevance of predictions improve, but the device complexity and data collection requirements increase
Solution Approach 1:
The user equipment acts as an intermediary that receives deployment condition information from base stations and relays this information to application entities. This mediator approach simplifies the overall system by having the UE handle data collection and transmission, reducing the complexity burden on the network functions while still enabling precise predictions through enriched data.
Solution Approach 2:
The patent segments the data collection function by having each base station provide deployment condition information for its specific cell to the user equipment. This segmentation allows the network to maintain modular architecture where each base station independently manages its cell information, while the UE aggregates this segmented information for comprehensive analysis.
2Reliability
If the network provides enriched deployment condition information to user equipment, then the quality of service and prediction accuracy improve, but the information transmission requirements and network overhead increase
Solution Approach 1:
The patent applies partial action by having base stations transmit only the specific deployment condition information relevant to their cells to the user equipment, rather than transmitting all possible network data. This selective information transmission reduces unnecessary network overhead while still providing sufficient enriched data for accurate predictions and quality of service optimization.
3Adaptability or versatility
If the network manages a large number of user equipments with diverse usage patterns, then the network capacity and coverage improve, but the operational complexity and management difficulty increase
Solution Approach 1:
The user equipment performs self-service by autonomously collecting deployment condition information from base stations and transmitting it to relevant application entities without requiring complex network management intervention. This self-service capability allows the network to handle diverse user equipment with different usage patterns while reducing the operational complexity burden on network managers.
Data Source
AI summary
A method for obtaining information by user equipment in a cellular communication network is described. The method includes receiving, from at least one base station of the network, information representative of current deployment conditions of at least one network cell managed by the at least one base station; and transmitting all or some of the received information to at least one application entity in the network.