Inter-Cell Interference Prediction in LTE Base Stations
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Solution Overview
Problem
In LTE systems, the accuracy of signal-to-interference-plus-noise ratio (SINR) estimation for uplink transmission is compromised due to time delays and fluctuations in inter-cell interference, affecting uplink scheduling performance.
Innovation Solution
A method and device for a base station to manage inter-cell interference by obtaining resource scheduling information from neighboring cells, determining interference levels, measuring inter-cell interference values, and storing these values using the interference level as an index, enabling accurate prediction and adjustment of modulation and coding schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel quality determined at SRS receiving time point is used directly to estimate SINR, then the estimation process is simple, but the accuracy of SINR estimation is low due to time delay
Solution Approach 1:
The patent measures inter-cell interference in advance at the SRS receiving time point and stores it with interference level indexing. This preliminary measurement and storage allows the system to retrieve relevant interference data during scheduling without waiting for real-time interference measurement, thereby compensating for the time delay effect and improving SINR estimation accuracy.
2Measurement precision
If real-time inter-cell interference measurement is performed, then the accuracy of SINR estimation is improved, but the complexity of the system increases
Solution Approach 1:
The system performs inter-cell interference measurement in advance and stores the results indexed by interference level. During scheduling, it only needs to determine the current interference level and retrieve the pre-measured interference value, avoiding complex real-time interference measurement and calculation while maintaining high accuracy.
Solution Approach 2:
The patent changes the parameter representation by indexing interference measurements with interference levels derived from resource scheduling information. This transformation allows the system to use simple level-based lookup instead of complex real-time interference calculation, reducing system complexity while maintaining measurement precision.
3Measurement precision
If inter-cell interference is not considered, then the scheduling process is simple, but the SINR estimation remains inaccurate when inter-cell interference fluctuates greatly
Solution Approach 1:
The patent performs preliminary interference measurement and storage organized by interference levels. When scheduling, it determines the current interference level from resource scheduling information and retrieves the corresponding pre-measured interference value. This approach incorporates interference consideration without requiring complex real-time interference analysis.
Data Source
AI summary
The present invention discloses a method, includes: managing a first cell, obtaining resource scheduling information of a neighboring cell of the first cell in a first time interval, and determining an interference level of inter-cell interference of the first cell according to the obtained resource scheduling information; and measuring an inter-cell interference value of the first cell in a second time interval, and storing the measured inter-cell interference value of the first cell in the second time interval by using the interference level as an index, where the interference level is determined according to the resource scheduling information in the first time interval. Based on a stored correlation between an interference level and a real inter-cell interference value obtained by means of measurement, the first base station can quickly and accurately predict a future inter-cell interference value by determining an interference level of inter-cell interference.