Cognitive Inter-Cell Interference Control in Multi-Cell Systems
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Solution Overview
Problem
Inter-cell interference in multi-cell communication systems reduces wireless data transmission rates, particularly in small cells like picocells and femtocells, due to limited frequency resources, necessitating effective interference control methods.
Innovation Solution
A communication method for target base stations in multi-cell systems that involves receiving interference information from neighbor terminals, predicting interference, and performing interference control using techniques like user scheduling, cooperation between base stations, and MIMO schemes to transform interference channels and apply optimal control algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If frequency reuse rate is set to 1 due to lack of frequency resources, then frequency resource utilization is improved, but inter-cell interference increases
Solution Approach 1:
The patent converts inter-cell interference from a harmful factor into a beneficial one by enabling terminals to measure and report interference information from neighbor cells. This measured interference data is then utilized by the base station to predict downlink interference and implement coordinated interference control, transforming the previously problematic interference into useful information for optimization.
Solution Approach 2:
The patent implements a feedback mechanism where terminals measure uplink interference from neighbor terminals and report this information back to the serving base station. The base station uses this feedback to predict downlink interference and adjust transmission strategies, creating a closed-loop control system that continuously optimizes interference management based on actual channel conditions.
2Productivity
If interference control measures are implemented, then data transmission rate is improved, but system complexity increases
Solution Approach 1:
The patent enables terminals to autonomously measure interference from neighbor cells and report this information to their serving base station without requiring complex centralized coordination. The base station then independently predicts downlink interference and determines appropriate control strategies, distributing the interference management functionality and reducing overall system complexity.
Solution Approach 2:
The patent performs preliminary interference measurement and reporting by terminals before downlink transmission. The base station uses this advance interference information to predict potential downlink interference and pre-adjust transmission parameters, enabling proactive interference control rather than reactive management, which simplifies the control process.
3Measurement precision
If pilot transmission is requested from neighbor terminals, then interference channel estimation is improved, but uplink resource consumption increases
Solution Approach 1:
The patent extracts only the necessary interference measurement information from the complex channel estimation process. Instead of requiring full channel state information, the system specifically extracts uplink interference measurements from neighbor cells, which are then used to infer downlink interference conditions, reducing the amount of uplink resources needed while maintaining estimation accuracy.
Solution Approach 2:
The patent makes the uplink pilot signals serve multiple functions: they are used for normal uplink communication purposes and simultaneously for measuring and reporting neighbor cell interference. This multi-functional use of pilot signals eliminates the need for separate dedicated interference measurement resources, reducing overall uplink resource consumption.
Data Source
AI summary
Provided is a cognitive inter-cell interference control method and apparatus. Inter-cell interference may be measured based on various methods in order to recognize an interference channel, and an appropriate interference control algorithm may be applied to the interference channel by modeling based on overhead. Accordingly, interference may be controlled.