RAN MDT Measurement Routing for Heterogeneous Device Support
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Solution Overview
Problem
Existing wireless communication networks face challenges in optimizing resource allocation and management, particularly in heterogeneous environments with varying traffic loads and device capabilities, leading to inefficiencies in data transmission and network performance.
Innovation Solution
Implementing a flexible and configurable architecture that utilizes artificial intelligence and machine learning to dynamically adjust network protocols and resource allocation based on real-time traffic characteristics, device capabilities, and network conditions, enabling optimized communication in mixed technology and release environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional resource allocation methods are used in heterogeneous networks, then network complexity is reduced and ease of operation is maintained, but network efficiency and performance deteriorate due to inability to adapt to varying traffic loads and device capabilities
Solution Approach 1:
The patent implements dynamic resource allocation by enabling network entities to adaptively adjust communication parameters, resource allocation, and protocol selection based on real-time traffic characteristics, device capabilities, and network conditions. This transforms static traditional networks into dynamic systems that automatically optimize performance without manual intervention, resolving the contradiction between efficiency and complexity.
Solution Approach 2:
The system changes multiple parameters simultaneously including transmission power, modulation schemes, resource block allocation, and protocol selection based on measured network conditions and device capabilities. This multi-parameter optimization enables the network to achieve high efficiency across heterogeneous environments without requiring complex manual configuration.
2Adaptability or versatility
If fixed protocol configurations are used, then device complexity is reduced and ease of manufacture is improved, but adaptability to different technologies and releases deteriorates
Solution Approach 1:
The patent enables network entities to automatically detect device capabilities, select appropriate protocol versions, and configure communication parameters without external intervention. This self-service mechanism allows the network to support multiple technologies and releases simultaneously while keeping individual device complexity low, as each device simply follows the configured parameters provided by the network.
Solution Approach 2:
The system implements a universal resource allocation framework that can handle multiple radio access technologies (LTE, NR, Wi-Fi) and device releases through a common adaptation layer. This multi-functional approach allows single network infrastructure to serve diverse devices with different capabilities without requiring complex device-specific configurations.
3Productivity
If manual optimization approaches are used, then device complexity is reduced and ease of operation is maintained, but productivity and network performance deteriorate due to inability to respond to dynamic conditions
Solution Approach 1:
The patent implements closed-loop feedback mechanisms where network entities continuously measure transmission quality, resource utilization, and device performance, then use this feedback to automatically adjust resource allocation and communication parameters. This automated feedback-driven optimization achieves high data transmission quality while responding dynamically to changing network conditions, eliminating the need for manual optimization.
Solution Approach 2:
The system performs preliminary capability detection and parameter configuration before actual data transmission begins. By pre-configuring optimal parameters based on detected device capabilities and current network conditions, the system ensures high transmission quality from the start without requiring manual intervention during operation.
Data Source
AI summary
A method can include receiving, by a base station from a first core network node, a request message for a wireless device. The request message can include at least one of an identifier of a model that the wireless device supports or an indication of whether a models-based minimization of drive test (MDT) is allowed for the wireless device. The method can also include receiving, by the base station from a second core network node, a trace session activation message comprising the identifier of the model for which an MDT measurement is requested. The method can further include sending, by the base station to a trace collection entity (TCE), an MDT measurement report of the MDT measurement of the wireless device.