Anchor Process for MIMO Channel Estimation Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In massive MIMO systems, the accuracy of channel estimation is compromised due to the long pilot sequences required for accurate channel coefficient estimation, leading to lower spectral efficiency, especially in 5G systems with extreme data rate and high mobility requirements.
Innovation Solution
The proposed solution involves a semi-blind channel estimation method that uses both pilot and data symbols, where data symbols are adjusted based on constellation points for modulation modes, allowing for reduced pilot symbol length while maintaining high accuracy, employing an anchor process to refine the channel estimation by aligning detected symbols with discrete constellation values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If long pilot sequences are used for accurate channel coefficient estimation, then channel estimation accuracy is improved, but spectral efficiency deteriorates
Solution Approach 1:
The patent merges pilot-based channel estimation with data symbol-based estimation by treating data symbols as additional pilot signals through the anchor process. This combines the advantages of both approaches: the accuracy of pilot-based estimation and the spectral efficiency of data-driven estimation, resolving the contradiction between estimation accuracy and spectral efficiency
Solution Approach 2:
The patent changes the parameter of pilot sequence length from long to short by introducing the anchor process that enables accurate estimation with fewer pilots. The anchor process adjusts detected data symbols to align with constellation points, effectively changing the estimation methodology to require fewer training symbols while maintaining or improving accuracy
2Productivity
If pilot sequence length is reduced to improve spectral efficiency, then spectral efficiency is improved, but channel estimation accuracy deteriorates
Solution Approach 1:
The anchor process implements a feedback mechanism where detected data symbols are adjusted based on their distance from constellation points, and this adjusted information is fed back to refine channel estimation. This feedback loop compensates for the reduced pilot information, maintaining accuracy despite shorter pilot sequences
Solution Approach 2:
The system uses the transmitted data symbols themselves to improve channel estimation accuracy through the anchor process. The data symbols serve dual purposes: carrying information and providing additional estimation information, making the system self-sufficient and reducing dependence on long pilot sequences
Data Source
AI summary
Embodiments of the present disclosure relate to a device, method, apparatus and computer readable storage medium for channel estimation in a multiple input multiple output (MIMO) system. The MIMO system comprises a receiver configured with a plurality of receiving antennas and a transmitter configured with a plurality of transmitting antennas. In example embodiments, a plurality of data symbols are detected based on channel estimation from a plurality of signals received by the plurality of receiving antenna from the plurality of transmitting antennas. The plurality of detected data symbols are adjusted based on a set of constellation points for a modulation mode used by the transmitter and associated with the plurality of signals. The channel estimation is updated based on the plurality of adjusted data symbols.