Interference Coordination for TDD Cell Frame Structure Alignment
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Solution Overview
Problem
In mobile wireless networks, significant differences in uplink and downlink load proportions between cells lead to misalignment of frame structures and cell states, causing serious interference between coherent cells, particularly in Time Division Duplex (TDD) and Dynamic Spectrum Sharing (DSS) arrangements.
Innovation Solution
An interference coordination method and device that obtain strategy information tables for target cells and coherent cells, determining cluster states and interference coordination strategies to align frame structures and cell states, employing adaptive switch symbol level rate matching and coordination strategies to mitigate interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frame structure arrangement is enabled to dynamically adjust uplink and downlink frame proportions, then spectrum resource usage efficiency is improved, but frame structure alignment between coherent cells deteriorates, causing serious interference
Solution Approach 1:
The system performs preliminary actions by obtaining strategy information tables from coherent cells before frame structure changes take effect. The network side device predicts future frame structure configurations and proactively coordinates interference mitigation strategies in advance, preventing alignment failures before they occur.
Solution Approach 2:
The system implements feedback mechanisms where the network side device obtains strategy information tables from coherent cells, predicts their future frame structures, and uses this feedback to dynamically adjust local frame structures and coordinate interference mitigation strategies, ensuring continuous alignment despite load variations.
2Productivity
If DSS arrangement is enabled to support multiple standards on single spectrum, then spectrum resource usage efficiency is improved, but cell status alignment between coherent cells deteriorates, causing serious interference
Solution Approach 1:
The system obtains strategy information tables from coherent cells before DSS configuration changes take effect. The network side device predicts future cell status configurations and proactively coordinates interference mitigation strategies, preventing misalignment before it causes interference.
Solution Approach 2:
The system implements feedback where the network side device obtains strategy information tables from coherent cells, predicts their future DSS configurations, and dynamically adjusts local cell status and interference mitigation strategies to maintain alignment despite varying service proportions.
3Reliability
If automatic interference coordination is implemented to eliminate inter-cell interference, then user channel quality is improved, but system complexity increases
Solution Approach 1:
The system implements self-service by having each cell autonomously generate and broadcast its own strategy information table containing frame structure and interference coordination strategies. Cells independently predict their future configurations and coordinate with neighbors without requiring centralized control, reducing system complexity while maintaining effectiveness.
Solution Approach 2:
The system changes key parameters such as frame structure proportions and cell status configurations based on predicted load patterns and interference conditions. By dynamically adjusting these parameters in response to changing network conditions, the system achieves effective interference coordination without requiring overly complex fixed configurations.
Data Source
AI summary
Embodiments of the present application relate to the technical field of communication, and in particular to an interference coordination method of a cell, an interference coordination device of a cell, a server and a storage medium. The interference coordination method of the cell includes: obtaining a strategy information table of a target cell in a next cycle, and the strategy information table includes a first cycle optimizing strategy of the target cell and a second cycle optimizing strategy of each coherent cell of the target cell; obtaining a cluster state of the target cell according to the first cycle optimizing strategy and each second cycle optimizing strategy; and determining an interference coordination strategy of the target cell in the next cycle according to the first cycle optimizing strategy and the cluster state.


