V-MIMO Channel Estimation Complexity Reduction
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Solution Overview
Problem
Current methods for channel estimation and interference cancellation in V-MIMO environments are computationally intensive and costly, especially in LTE networks, leading to inefficiencies in spectral efficiency and data throughput due to channel correlation among mobile terminals.
Innovation Solution
A method and system that uses reference symbol signals to estimate wireless channels and cancel interference between mobile terminals, employing reduced complexity MMSE channel estimation and interference cancellation techniques to demodulate uplink data, regenerating and re-checking user data signals for error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional channel estimation and interference cancellation methods are used in V-MIMO environments, then channel capacity and data rate can be maintained, but computational complexity increases significantly
Solution Approach 1:
The patent segments the channel estimation process into two distinct stages: first estimating the composite channel containing interference, then estimating the residual channel after interference cancellation. This segmentation allows each estimation to be simpler and more focused, reducing overall computational complexity while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary interference cancellation by estimating and subtracting the interfering signal before the final channel estimation. This preliminary action removes the dominant source of error, making the subsequent channel estimation much more accurate and computationally efficient.
2Productivity
If interference cancellation is performed to improve spectral efficiency, then data throughput increases, but processing cost and complexity increase
Solution Approach 1:
The patent extracts and removes the interfering signal component from the received signal before final demodulation. By taking out the interference term using the first channel estimate, the system achieves better spectral efficiency and data throughput while keeping the extraction process computationally manageable.
Solution Approach 2:
The patent employs a feedback mechanism where the first channel estimate is used to cancel interference, which then improves the quality of the second channel estimate. This feedback loop continues iteratively, with each pass improving performance while the computational cost diminishes as the interference is progressively removed.
3Reliability
If channel correlation among mobile terminals is present, then system capacity is reduced, but computational complexity increases due to interference
Solution Approach 1:
The patent converts the harmful effect of channel correlation and interference into a benefit by using the interfering signals themselves to improve the estimation process. The first channel estimate captures the interference, which is then subtracted to reveal the desired signal more clearly, turning the correlation problem into a solution.
Data Source
AI summary
A method and system for wireless communication in a wireless communication network. The wireless communication network has a first mobile terminal and a second mobile terminal arranged in virtual multiple input, multiple output (“V-MIMO”) communication with a base station. A first wireless communication uplink channel corresponding to the first mobile terminal is estimated. The estimate is based on a first reference symbol signal and the cancellation of interference from a second reference symbol signal received from the second mobile terminal. A second wireless communication uplink channel corresponding to the second mobile terminal is estimated. The estimate is based on the second reference symbol signal and the cancellation of interference from the first reference symbol signal received from the first mobile terminal. The estimated first wireless communication uplink channel is used to demodulate a first data signal received from the first wireless device, and the estimated second wireless communication uplink channel is used to demodulate a second data signal received from the second wireless device.