Mini-cell Interference Detection via Signal Correlation
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Solution Overview
Problem
Mini-cells in cellular networks, particularly those deployed indoors, face challenges with co-channel interference due to their self-configurable and dynamic nature, making existing interference measurement techniques impractical for centralized optimization, especially when interfering signals are weak and cannot be decoded.
Innovation Solution
A mini-cell system with a signal collection network and local network controller that uses signal analyzers to identify interfering signals through processing gains from known signal patterns, allowing for real-time or offline processing to determine the source of interference and reconfigure network parameters to mitigate it, even when signals are below the power level of the desired signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drive-test measurement techniques are used for interference detection, then interference sources can be identified in traditional cellular networks, but these methods are not practical for indoor mini-cell systems with dynamic self-configurable deployments
Solution Approach 1:
The mini-cell system performs self-measurement and self-identification of interference sources using local signal analysis capabilities. Each mini-cell autonomously measures received signals and identifies interfering cells through correlation processing, eliminating the need for external drive-test equipment and manual measurement campaigns.
Solution Approach 2:
The system employs dynamic signal processing that adapts to the changing indoor mini-cell environment. The measurement and identification process continuously updates as mini-cells are deployed, activated, or reconfigured, allowing the system to maintain effective interference detection despite the dynamic nature of the network topology.
2Reliability
If centralized and static network optimization is implemented, then network parameters can be optimized, but this approach becomes infeasible due to the large number of mini-cells and their unpredictable behavior
Solution Approach 1:
The network optimization function is segmented and distributed to individual mini-cells rather than being centralized. Each mini-cell independently performs interference measurement and identification, making autonomous optimization decisions locally. This distributed approach scales efficiently with the number of mini-cells and adapts to unpredictable network changes without requiring complex centralized management.
3Reliability
If sniffing techniques are used for interference measurement, then base stations can adjust parameters to minimize mutual interference, but this method is inadequate when interfering signals are weak and cannot be decoded
Solution Approach 1:
The system performs preliminary correlation processing using known signal patterns before attempting full signal decoding. By correlating received signals with expected signal structures in advance, the system can identify weak interfering signals based on their characteristic patterns even when their power levels are too low for reliable decoding, enabling earlier and more accurate interference detection.
Data Source
AI summary
Self-configurable wireless network with cooperative interference measurements by base stations. A mini-cell system comprises a plurality of mini-cells. Each mini-cell comprises a communications system for establishing communications with and among remote devices and a signal collection system that provides connectivity to a signal collection network. The signal collection system comprises a scanner and a signal analyzer. The communications system and the signal collection system communicate with a local network controller via the signal collection network to report information about the mini-cell and signals that are received at the mini-cell location. The local network controller may process information received from the mini-cell about its configuration and its own signal and information received from the signal collection system to determine whether to reconfigure the network to mitigate interference and to optimize the mini-cell system.