Wireless Interference Management via Predicted UE Mobility
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Solution Overview
Problem
In cellular networks, the frequent updates required for network topology graphs to manage interference between cells using current location information are inefficient, especially when there are changes in the network environment, leading to suboptimal interference processing.
Innovation Solution
A method that constructs network topology graphs using mobility information of user equipment (UE) along with current location information, predicts UE locations for specific times, determines dominant interfering base stations, and uses these predictions to configure precoder and decoder vectors for efficient interference management across base stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network topology graph is updated frequently using current location information, then interference processing accuracy is improved, but system complexity and update overhead increase
Solution Approach 1:
The patent applies preliminary action by predicting future UE locations and pre-determining interference relationships before they actually occur. The network topology graph is constructed using predicted locations at future time points, allowing the system to proactively prepare interference processing strategies rather than reactively updating based on current locations. This reduces the need for frequent updates while maintaining accuracy.
2Measurement precision
If network topology graph is updated frequently, then interference processing accuracy is improved, but update time and resource consumption increase
Solution Approach 1:
By predicting UE locations at future time points and constructing the network topology graph based on these predictions, the system performs interference processing preparation in advance. This eliminates the need for continuous frequent updates, as the predicted topology remains valid for the prediction horizon, significantly reducing update time and resource consumption.
Solution Approach 2:
The patent introduces dynamics by transitioning from static current-location-based topology updates to dynamic prediction-based topology construction. The system adapts to UE mobility by continuously predicting future locations and updating the topology graph based on these predictions, allowing the network to dynamically adjust to changing conditions without frequent explicit updates.
3Measurement precision
If prediction accuracy is improved using mobility information, then interference management performance is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by selectively using mobility information to the extent necessary for accurate prediction without over-processing. The system uses available mobility data (such as velocity and direction) to construct predicted locations, applying just enough computational effort to achieve sufficient prediction accuracy for interference management purposes, rather than performing exhaustive calculations.
Data Source
AI summary
A method for processing, by a base station, an interference in a wireless communication system includes determining a first base station group and a second base station group based on network topology information, determining a first precoder vector for the first base station group and a second precoder vector for the second base station group, the first precoder vector being linearly independent of the second precoder vector, and transmitting the first precoder vector and a first decoder vector to the first base station group and transmitting the second precoder vector and a second decoder vector to the second base station group, wherein the first decoder vector is included in a null space of the second precoder vector, and the second decoder vector is included in a null space of the first precoder vector.