User Terminal Channel Estimation for Massive MIMO Interference
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Solution Overview
Problem
In radio communication systems, particularly in Massive MIMO, acquiring all necessary channel information for precoding and postcoding processing is not adequately addressed, leading to inefficiencies in signal transmission and interference management.
Innovation Solution
A user terminal is equipped with a communication section for receiving precoded data signals, a channel estimation section for estimating second channel information including beamforming weights and precoding matrices, and a postcoding section for processing data signals based on this information, allowing for accurate channel information acquisition and interference management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If digital precoding and digital postcoding are used in Massive MIMO, then the data rate and signal quality improve, but the number of reference signals and computational complexity increase proportionally with the number of antenna elements
Solution Approach 1:
The channel estimation process is segmented into two distinct stages: first channel estimation for beamforming weight acquisition, and second channel estimation for precoding matrix acquisition. This segmentation allows the system to handle Massive MIMO by breaking down the complex task of acquiring all channel information into manageable steps, reducing the computational burden at any single stage while maintaining high data rates through proper precoding and postcoding.
2Productivity
If the number of antenna elements is increased for Massive MIMO, then the signal transmission speed increases and interference is reduced, but the number of reference signals required increases proportionally
Solution Approach 1:
The system performs preliminary channel estimation to acquire beamforming weights before proceeding with data transmission. By obtaining the beamforming weights in advance through first channel estimation, the system can apply these weights to shape the beam patterns and direct signals towards intended receivers, thereby achieving high transmission speeds with a reduced number of reference signals compared to conventional approaches that require exhaustive reference signals for all antenna elements.
3Measurement precision
If all channel information is acquired for precoding and postcoding processing, then the transmission quality improves, but the amount of operation and processing time increase
Solution Approach 1:
The channel information acquisition is segmented into two efficient stages: first channel estimation for beamforming weights and second channel estimation for precoding matrices. This segmentation enables the system to acquire all necessary channel information with optimized processing time by avoiding redundant estimation operations, thus maintaining high measurement precision while minimizing processing time delays.
Solution Approach 2:
The system performs preliminary acquisition of beamforming weights through first channel estimation before the actual data transmission. This preliminary action allows the second channel estimation to focus specifically on acquiring precoding matrices using the already-obtained beamforming weights, thereby reducing the overall processing time while ensuring all necessary channel information is available for high-quality transmission.
Data Source
AI summary
In user terminal 20, communication section 202 receives a data signal to which precoding based on first channel information indicating a channel between radio base station 10 and user terminal 20 estimated in first channel estimation and beamforming are applied. The first channel information is an equivalent channel matrix including a beamforming weight. Stage-2 channel estimation section 205 performs second channel estimation for estimating second channel information indicating a channel between radio base station 10 and user terminal 20. The second channel information is an equivalent channel matrix including the beamforming weight and a precoding matrix. Postcoding section 207 performs postcoding on the data signal based on the second channel information.