Wideband Radio Channel Estimation Using Dynamic Tap Thresholding
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Solution Overview
Problem
Existing wireless communication systems face challenges in performing accurate channel estimation under varying Signal to Noise Ratios (SNRs) and multiple propagation paths, particularly in 5G New Radio (NR) networks, due to the need for efficient channel estimation methods that can handle mmWave frequencies and low-precision data converters.
Innovation Solution
A radio node is equipped with a control circuit that converts wideband reference symbols into wideband taps, applies pre-filters to reduce noise, and performs narrowband processes to identify strongest SNRs, thereby improving channel estimation accuracy across a wide range of SNRs by eliminating weaker taps and using narrowband filters to enhance wideband estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional channel estimation methods are used in 5G NR networks with mmWave frequencies and low-precision data converters, then the system can operate with reduced power consumption and system costs, but the channel estimation accuracy deteriorates under varying SNRs and multiple propagation paths
Solution Approach 1:
The patent segments the wideband channel estimation problem into multiple narrowband sub-channels. Each narrowband channel is estimated separately using low-complexity methods, and the results are combined to form the overall wideband channel estimate. This segmentation allows accurate estimation per narrowband component while keeping individual processing complexity low, resolving the contradiction between accuracy and computational overhead.
Solution Approach 2:
The patent introduces an intermediary filtering stage that processes the channel estimates from narrowband channels before combining them. This intermediary filter optimizes the combination process to achieve accurate wideband estimation while maintaining computational efficiency, particularly important when using low-precision data converters in mmWave systems.
2Reliability
If all wideband reference symbols are processed for channel estimation, then comprehensive channel information is obtained, but the processing time and computational resources increase significantly
Solution Approach 1:
The patent divides the wideband reference symbol processing into multiple narrowband segments that can be processed independently and in parallel. This segmentation maintains comprehensive channel information coverage while enabling parallel processing that significantly reduces overall processing time and computational resource requirements.
Solution Approach 2:
The patent processes only the necessary narrowband components separately and combines them, rather than processing all wideband data in a single complex operation. This partial processing approach to narrowband channels followed by combination achieves the same reliability with reduced processing time.
3Use of energy by moving object
If low-precision data converters are used to reduce power consumption and system costs, then energy efficiency improves, but the signal quantization error increases and degrades channel estimation performance
Solution Approach 1:
The patent segments the frequency band into multiple narrowband channels, each processed with low-precision converters. The segmentation allows each narrowband component to be estimated accurately despite quantization errors, and the combination of multiple narrowband estimates recovers the overall wideband channel accuracy that would be difficult to achieve with a single low-precision wideband processing approach.
Solution Approach 2:
The patent changes the processing parameters by transitioning from wideband to narrowband frequency domain processing. This parameter change (frequency domain segmentation) allows the system to achieve better estimation accuracy with low-precision converters by processing smaller frequency subsets where quantization effects are more manageable.
Data Source
AI summary
Radio channel estimation in a radio node is provided. The radio node is configured to receive a number of wideband reference symbols corresponding to a wideband radio channel having a wideband bandwidth and convert the wideband reference symbols into a number of wideband taps each having a complex value and associated with a respective beam direction and a respective tap delay. The radio node dynamically determines a wideband power threshold based on channel information related to the wideband channel. Accordingly, the radio node determines a subset of the wideband taps based on the wideband power threshold and generates a channel estimate for the wideband radio channel based on the subset of wideband taps. As a result, the radio node may create a more accurate channel estimation across the wider channel bandwidth over a large span of SNR conditions.