Holographic MIMO Reference Signal Dimensionality Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Holographic MIMO systems face high pilot overhead due to the need for integrating a massive number of antennas in a limited space, which existing technologies have not effectively addressed.
Innovation Solution
The proposed method involves determining reference signals based on antenna spacing and channel sparsity characteristics, using compressed sensing principles to reduce the dimensionality of reference signal matrices, and employing two-dimensional spatial-frequency Fourier harmonic matrices for channel estimation, thereby reducing pilot overhead and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a massive number of antennas are integrated in a limited space to achieve continuous aperture for holographic MIMO, then the space utilization and transmission capacity are improved, but the pilot overhead and system complexity increase significantly
Solution Approach 1:
The patent extracts and utilizes the correlation characteristics between adjacent antennas in the holographic MIMO system. By recognizing that antennas with small spacing (less than half wavelength) exhibit correlated signal patterns, the system can reduce the number of independent pilot signals needed. Instead of requiring separate pilots for each antenna element, the method extracts shared correlation information that represents multiple antennas simultaneously, thereby significantly reducing pilot overhead while maintaining channel estimation accuracy.
Solution Approach 2:
The patent merges the channel estimation requirements of multiple correlated antennas into a single estimation process. By combining the signal processing of multiple antennas with small spacing into one unified channel estimation operation, the system avoids redundant pilot transmissions. The method processes the correlated antenna signals together, allowing one pilot signal to serve multiple antennas that exhibit correlated characteristics, thus reducing the total quantity of pilot signals required.
2Quantity of substance
If the dimension of reference signal matrices is reduced based on channel sparsity and compressed sensing, then pilot overhead is decreased, but the measurement and detection complexity increases
Solution Approach 1:
The patent changes the parameter of reference signal matrix dimension by leveraging channel sparsity characteristics. Instead of using full-dimensional reference signal matrices that match the number of antennas, the method reduces the matrix dimension to a lower rank that still captures the essential channel information. This parameter reduction is achieved by identifying and utilizing the sparse structure of the channel in the angular domain, allowing compressed sensing techniques to recover the channel with fewer measurements, thus reducing pilot overhead.
3Measurement precision
If reference signals are determined based on antenna spacing less than half wavelength, then channel estimation accuracy is improved, but the reference signal processing complexity increases
Solution Approach 1:
The patent performs preliminary analysis of antenna spacing characteristics to pre-determine the appropriate reference signal configuration. By evaluating the antenna spacing parameters in advance and identifying when antennas are spaced less than half wavelength apart, the system can pre-configure the channel estimation parameters and reference signal matrices accordingly. This preliminary action allows the system to optimize the reference signal processing for specific spatial configurations, improving estimation accuracy while managing complexity through pre-computed parameters.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
The present disclosure provides a signal processing method and apparatus, and a storage medium, and relates to the field of communication technology. The signal processing method includes: on a network device side, determining, according to antenna spacing, a first reference signal, the antenna spacing being less than or equal to half wavelength; and determining, by the network device and according to the first reference signal, a second reference signal, where a dimension of a second reference signal matrix corresponding to the second reference signal is smaller than a dimension of a first reference signal matrix corresponding to the first reference signal. Thereby, when receiving a first receive signal including the second reference signal transmitted by the network device, a terminal may determine, according to the first receive signal, a second receive signal and use the second receive signal for channel estimation. The present disclosure can effectively reduce the pilot overhead of holographic MIMO, thereby reducing the complexity of the channel estimation.