Flexible SRS Bandwidth Adaptation for Wireless Channel Estimation
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Solution Overview
Problem
Current SRS transmission in wireless networks, such as LTE and NR, faces limitations in flexible frequency allocation, leading to reduced SNR and increased channel-estimation errors due to fixed transmission combs and frequency-hopping patterns, which affect channel knowledge and uplink coverage.
Innovation Solution
Implementing a more flexible SRS configuration that allows non-contiguous and irregular frequency-domain PRB patterns, varying transmission combs and cyclic shifts across PRBs, and configuring higher subcarrier spacing for SRS transmission, enabling better interference averaging and beam management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed transmission combs and frequency-hopping patterns are used for SRS transmission, then device complexity is reduced and ease of operation is improved, but manufacturing precision (channel estimation accuracy) deteriorates and measurement precision (SNR) is reduced
Solution Approach 1:
The patent applies dynamics by making the SRS configuration flexible and adaptable rather than fixed. The network can dynamically adjust transmission comb patterns, frequency hopping sequences, and PRB allocation based on channel conditions and interference levels, allowing the system to optimize channel estimation accuracy in real-time while maintaining operational simplicity through automated control
Solution Approach 2:
The patent changes key parameters including transmission comb offset, cyclic shift values, frequency hopping patterns, and subcarrier spacing to optimize SRS transmission. By varying these parameters adaptively based on channel conditions, the system improves channel estimation accuracy and SNR while maintaining ease of operation through network-controlled parameter adjustment
2Device complexity
If fixed transmission combs are used for SRS transmission, then device complexity is reduced, but manufacturing precision (channel estimation accuracy) deteriorates
Solution Approach 1:
The system transitions from static to dynamic configuration where transmission comb patterns and related parameters are adapted based on channel conditions. The network controls the complexity by automatically selecting optimal configurations, maintaining low device complexity while achieving high channel estimation accuracy through adaptive parameter adjustment
Solution Approach 2:
The patent varies transmission comb parameters including comb offset and cyclic shift to optimize channel estimation. By changing these parameters adaptively rather than using fixed values, the system improves manufacturing precision (channel estimation accuracy) while the network manages device complexity through centralized control
3Device complexity
If standard subcarrier spacing is used for SRS transmission, then device complexity is reduced and ease of operation is improved, but measurement precision (time-domain resolution) deteriorates
Solution Approach 1:
The patent changes the subcarrier spacing parameter for SRS transmission from standard values to higher values. This parameter change directly improves time-domain resolution for channel estimation while the network manages device complexity through automated configuration, allowing higher resolution without proportionally increasing device complexity
4Ease of operation
If conventional frequency allocation patterns are used for SRS transmission, then ease of operation is improved, but measurement precision (SNR) deteriorates
Solution Approach 1:
The patent changes frequency allocation parameters including PRB selection, transmission comb patterns, and frequency hopping sequences to optimize SNR. By adaptively adjusting these parameters based on channel conditions and interference levels, the system improves measurement precision (SNR) while maintaining ease of operation through network-controlled automatic optimization
Data Source
AI summary
According to certain embodiments, a method performed by a wireless device comprises determining a configuration for sounding reference signal (SRS) transmission. The configuration is determined at least in part based on information received from a network node. The method further comprises performing the SRS transmission according to the configuration.