Wireless Receiver SINR Estimation Under Limited MIMO Resolution
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Solution Overview
Problem
Existing MIMO systems face challenges in accurately estimating noise and interference, leading to limited signal-to-interference-plus-noise ratio (SINR) and suboptimal decoding performance due to limited receiver resolution, particularly in massive MIMO scenarios.
Innovation Solution
The proposed method involves obtaining noise and interference estimation information through channel estimation, using receiver resolution to calculate SINR, and applying regularized log-likelihood ratios for improved decoding, specifically in wireless communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel estimation is performed using reception reference signal in MIMO system, then signal reception capability is improved, but noise and interference estimation accuracy deteriorates due to limited receiver resolution
Solution Approach 1:
The patent segments the channel estimation process into two distinct parts: first performing channel estimation using the reception reference signal to obtain channel estimation information, then separately performing noise and interference estimation using the reception data signal. This segmentation allows each estimation process to use appropriate signals and methods, improving overall accuracy despite limited receiver resolution.
Solution Approach 2:
The patent introduces an intermediary processing step where channel estimation information is used as a basis for subsequent noise and interference estimation. By using the channel estimation results as an intermediary, the system can better separate the effects of channel fading from noise and interference, improving estimation accuracy in massive MIMO scenarios.
2Measurement precision
If receiver resolution is increased to improve noise and interference estimation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies partial action by performing noise and interference estimation only on specific portions of the reception data signal where reference signals are not present. This selective estimation approach achieves adequate accuracy without requiring the full computational resources of a high-resolution receiver, thus reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent changes the estimation parameters by using different signals for different estimation purposes: reception reference signal for channel estimation and reception data signal for noise and interference estimation. This parameter change allows the system to achieve accurate estimates without increasing receiver resolution or complexity.
3Measurement precision
If accurate SINR estimation is performed using channel estimation information, then decoding accuracy is improved, but calculation complexity increases due to massive MIMO processing requirements
Solution Approach 1:
The patent performs channel estimation as a preliminary action before SINR estimation. By obtaining channel estimation information first, the system prepares necessary data that simplifies subsequent SINR calculation. This preliminary action reduces the computational burden during the actual SINR estimation phase, especially in massive MIMO scenarios.
Solution Approach 2:
The system uses its own channel estimation results to facilitate the noise and interference estimation process. The channel estimation information serves the dual purpose of both characterizing the channel and enabling accurate SINR estimation, allowing the system to be self-sufficient without requiring additional complex processing or external assistance.
Data Source
AI summary
A method carried out by an electronic device in a wireless communication system may comprise: acquiring received signals including a received data signal and a received reference signal; acquiring noise and interference estimation information based on channel estimation using the received reference signal; acquiring a weight based on information related to the resolution of a receiver of the electronic device, channel estimation information, and the noise and interference estimation information; acquiring a signal-to-interference-plus-noise ratio (SINR) of the received reference signal based on the weight and the information related to the resolution; and carrying out decoding of the received signals based on the SINR and the received data signal.