Dynamic X2 Interface Configuration for Heterogeneous Wireless Networks
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Solution Overview
Problem
In heterogeneous wireless communication networks, the high number of interfaces required for managing interference between multiple small cells and macrocells leads to complexity and inefficiency, especially due to the large field site-to-site distances and varying interference factors such as shadowing, power control, and MIMO transmission schemes, making it difficult to maintain effective interference management.
Innovation Solution
A method to configure interfaces between communication nodes based on predictor coefficients determined by monitoring influencing factors, using regression analysis to identify the most impactful factors and dynamically reconfiguring interfaces, thereby reducing the number of interfaces while maintaining interference management and scalability, and allowing for autonomous network operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If X2 interfaces are established between all small cells and macrocells for interference management, then interference management capability is improved, but device complexity and scalability deteriorate due to the rapidly increasing number of interfaces
Solution Approach 1:
The patent segments the set of all potential X2 interfaces into two categories: essential interfaces that must be maintained for effective interference management, and non-essential interfaces that can be removed to reduce complexity. This segmentation is achieved by analyzing interference relationships and identifying which neighbor cell interfaces are actually needed for each small cell, thereby resolving the contradiction between maintaining interference management capability and reducing the total number of interfaces.
Solution Approach 2:
The patent extracts and removes redundant X2 interfaces from the network configuration by identifying interfaces that do not contribute significantly to interference management. Through mathematical analysis of interference relationships and predictor coefficients, the system determines which interfaces can be safely removed without degrading interference management performance, thus reducing device complexity while preserving essential functionality.
2Device complexity
If the number of X2 interfaces is reduced for scalability, then device complexity is improved, but interference management capability deteriorates
Solution Approach 1:
The patent changes the parameter of interface configuration from a static all-to-all connection model to a dynamic selective connection model based on interference relationships. By introducing predictor coefficients that quantify the importance of each interface for interference management, the system optimizes the interface configuration to maintain the minimum necessary connectivity for effective interference management while reducing overall complexity.
Solution Approach 2:
The patent performs preliminary analysis of interference relationships and predictor coefficients before finalizing the interface configuration. By pre-identifying which interfaces are essential for interference management and which can be removed, the system ensures that interference management capability is preserved while achieving scalability through reduced interface complexity.
3Measurement precision
If all interfering factors are monitored for accurate interference management, then measurement precision is improved, but device complexity deteriorates due to the large number of factors
Solution Approach 1:
The patent applies partial monitoring by focusing only on the most significant interfering factors rather than monitoring all potential factors. Through mathematical analysis and predictor coefficients, the system identifies and monitors only the key factors that have the greatest impact on interference, achieving sufficient measurement precision while significantly reducing the complexity associated with monitoring and processing all possible interfering factors.
Data Source
AI summary
One embodiment includes monitoring, for each communication node, at least one factor of interest and a plurality of potential influencing factors associated with the factor of interest. The factor of interest characterizes an operating condition of the communication node, and the plurality of potential influencing factors each have a potential influence on the operating condition. For each factor of interest for each communication node, a predictor coefficient for one or more of the potential influencing factors associated with the factor of interest is determined. The predictor coefficient indicates a predicted level of influence the potential influencing factor has on the factor of interest. For each communication node, interfaces are configured between the communication node and other communication nodes based on the determined predictor coefficients.