Interference Analysis Tool for Cellular Radio Networks
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Solution Overview
Problem
Current cellular network technologies face challenges in accurately identifying and managing interference in heterogeneous networks, particularly in multi-layer deployments where macro and pico cells with different transmission powers create complex interference scenarios, leading to performance impairments and inefficient resource management.
Innovation Solution
A method that calculates a Δ-measure, such as ΔSINR, to determine the severity of interference by comparing signal quality levels with and without interfering base stations or user equipment, allowing network operators to switch on or off Radio Resource Management features based on a threshold, and visualizes relevant cell data to optimize resource allocation and handover processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional interference identification methods based on path loss and geometry are used, then cell-center and cell-edge portions can be divided, but the actual interference situation cannot be accurately identified in heterogeneous networks with multi-layer deployments
Solution Approach 1:
The patent changes the measurement parameter from path loss and geometry to ΔSINR (difference in Signal-to-Interference-plus-Noise Ratio). This parameter directly reflects the actual interference impact on user experience, enabling accurate identification of interference problem areas regardless of network heterogeneity. The ΔSINR is calculated by comparing SINR measurements with and without the interfering cell's contribution, providing a direct measure of interference severity.
2Reliability
If coordinated radio resource management features are applied to manage interference, then network performance can be improved, but computational complexity and signaling load increase
Solution Approach 1:
The patent applies coordinated RRM features locally only in identified interference problem areas rather than network-wide. By using ΔSINR to pinpoint specific cells and resource blocks experiencing interference, the system enables targeted application of interference coordination mechanisms, improving network performance while minimizing computational complexity and signaling overhead in non-problem areas.
3Object-affected harmful factors
If frequency planning among cells is implemented to cope with interference, then interference can be managed, but resource allocation flexibility is reduced
Solution Approach 1:
The patent implements dynamic interference coordination based on real-time ΔSINR measurements rather than static frequency planning. The system continuously monitors SINR differences and adapts resource allocation dynamically, allowing flexible assignment of physical resource blocks to users based on current interference conditions. This enables the network to cope with interference while maintaining high resource allocation flexibility.
Data Source
AI summary
An interference analysis tool for identifying an interference problem area in a cellular radio network in which at least a first User Equipment (UE1) and a second UE (UE2) operate. The tool receives signal quality measurements and determines uplink or downlink interference severity. For UE2 uplink interference, the tool determines a first uplink Signal-to-Interference-and-Noise-Ratio (SINR) experienced by UE2, wherein the first SINR includes uplink interference from UE1. The tool also determines a second uplink SINR level (SINR0) experienced by UE2, wherein SINR0 does not include the uplink interference from UE1. The tool calculates a difference (ΔSINR) between SINR and SINR0 for UE2, and identifies the area where UE1 is operating as an interference-causing area when the ΔSINR for UE2 is greater than a threshold value. The tool may present interference severity levels to an operator, and may initiate Radio Resource Management (RRM) procedures to mitigate interference problems in the network.