Small Cell Interference Coordination via Doppler Shift Estimation
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Solution Overview
Problem
Intra-cell and inter-cell interference in wireless communication systems, particularly in 5G networks, limit system throughput due to the dense deployment of small cells, which affects signal transmission and reception.
Innovation Solution
A method for performing interference coordination between small cells by obtaining movement information, determining relative movement conditions, estimating Doppler shifts, and implementing interference alignment strategies based on these estimates to reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If small cells are densely deployed to increase transmission rate and spatial spectrum efficiency, then system throughput is improved, but intra-cell and inter-cell interference increases
Solution Approach 1:
The patent changes the frequency parameter by estimating Doppler shift values based on movement information and applying frequency shifts to align interference signals. This parameter change allows interference to be redirected into specific subspaces where it does not affect desired signals, thereby maintaining high throughput while reducing harmful interference effects
Solution Approach 2:
The patent transforms the interference problem from the time-frequency domain to a spatial subspace dimension. By performing interference alignment in specific subspaces using precoding matrices, the system directs interference into designated dimensions where it does not interfere with desired signals, effectively resolving the contradiction between dense deployment and interference management
2Object-generated harmful factors
If interference alignment strategy is performed based on Doppler shift estimation, then interference is reduced, but system complexity increases due to movement information processing
Solution Approach 1:
The patent performs preliminary action by obtaining movement information (velocity, direction, position) of small cells in advance and estimating Doppler shift values before interference occurs. This allows the system to pre-calculate frequency shifts and precoding matrices, reducing the complexity of real-time interference management while maintaining effective interference alignment
Solution Approach 2:
The patent introduces Doppler shift estimation as an intermediary parameter that bridges movement information and interference alignment strategy. By using this intermediate step, the system translates complex movement data into manageable frequency compensation values, simplifying the overall control process while achieving effective interference reduction
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method effectively reduces interference between small cells, enhancing signal quality and increasing spectral efficiency by aligning interference in specific subspaces, thereby improving overall system throughput.
Implementation Method 1
estimating a Doppler shift of a signal between the small cells based on the relative moving condition
Data Source
AI summary
A small cell interference coordination method and wireless communication device includes obtaining mobile information of at least one of the small cells. Relative movement between the small cells is determined according to at least the movement information. A Doppler frequency shift of a signal between small cells is estimated according to the relative movement. An interference alignment policy between small cells is implemented according to the estimated Doppler frequency shift.