MIMO Receiver Signal Processing via Common Filter and Adaptive Compensation
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Solution Overview
Problem
In massive MIMO environments, existing technologies face challenges in minimizing received signal detection complexity and precoder generation complexity while maintaining performance, especially when correlation between resource elements (REs) is unknown or small, leading to increased computational complexity and memory requirements.
Innovation Solution
A method is proposed where a common reception filter is generated based on the channel of a reference RE and shared among all REs in a group, with adaptive adjustment of the number of repetitions in the compensation process to reduce computational complexity and memory requirements, allowing for flexible performance adaptation based on communication environment conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a common reception filter is generated based on a reference RE and shared among all REs in a group, then signal detection complexity is reduced, but performance deterioration occurs when correlation between REs is small
Solution Approach 1:
The patent dynamically adjusts the compensation process based on correlation between REs. When correlation is high, the common filter is used directly. When correlation is low, a compensation process is applied to maintain performance. This dynamic adaptation resolves the contradiction between complexity reduction and performance maintenance.
Solution Approach 2:
The patent changes the parameter of filter application by introducing a compensation mechanism that adjusts the filtering process based on RE correlation characteristics. This parameter change allows the system to maintain performance while still benefiting from the complexity reduction of using a common filter.
2Reliability
If the number of repetitions in the compensation process is increased, then detection performance is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent applies partial action by performing the compensation process only when necessary (when correlation between REs is below a threshold). The number of repetitions is adjusted based on the specific channel conditions, avoiding unnecessary computational overhead while maintaining performance when needed.
Solution Approach 2:
The system dynamically determines the number of repetitions based on channel correlation measurements. This dynamic adjustment allows the system to optimize between performance and processing speed according to actual communication conditions, rather than using a fixed number of repetitions.
3Device complexity
If a common precoder is used for all REs, then precoder generation complexity is reduced, but transmission performance deteriorates when channel variation across REs is significant
Solution Approach 1:
The patent segments the REs into groups where a common precoder can be effectively applied. By dividing the frequency-time resources into appropriate groups, the system achieves complexity reduction within each group while maintaining overall transmission performance through the segmentation strategy.
Data Source
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AI summary
Disclosed herein are a received signal processing method including selecting a reference resource element (RE) from an RE group including a plurality of REs, generating a common filter to be shared among the plurality of REs of the RE group based on channel information of the reference RE, detecting primary signals, from which channel influence is removed, of the plurality of REs by applying the common filter to received signals of the plurality of REs, and generating secondary signals by compensating for primary signals of REs except for the reference RE among the plurality of REs using channel information of the REs, and a multiple input multiple output (MIMO) receiver.