Adaptive Beam Weight Dimension Reduction for 5G RRS
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Solution Overview
Problem
The existing data dimension reduction methods in 5G wireless networks have low flexibility due to the use of preset beam domain weights for converting time domain data from antennas to frequency domain data, which limits the adaptability and efficiency of data transmission in C-RAN architectures.
Innovation Solution
The method involves determining adaptive beam weights based on channel information of user equipment (UE) to perform dimension reduction on antenna domain signals, allowing for different dimensions of beam domain signals, and adjusting data bit widths and supplementary received beams to optimize data transmission through eCPRI, thereby improving flexibility and system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If preset beam domain weights are used for dimension reduction, then the data transmission can be performed through eCPRI interface, but the flexibility of data dimension reduction is low
Solution Approach 1:
The patent implements dynamic beam weight determination by allowing the RRS to adjust beam weights based on real-time channel conditions and traffic requirements. The system transitions from static preset weights to dynamic adaptive weights that can be modified according to varying operational conditions, thereby improving flexibility without requiring complete system redesign
Solution Approach 2:
The patent changes the parameters used for dimension reduction from fixed preset beam domain weights to adaptive parameters that can be adjusted based on channel state information, traffic patterns, and quality of service requirements. This parameter adaptation enables flexible control over the dimension reduction process while maintaining system performance
2Quantity of substance
If multiple RRUs share a CPRI with specific bandwidth, then the optical fiber capacity can be utilized, but the time domain data with high dimension cannot be transmitted simultaneously
Solution Approach 1:
The patent extracts the dimension reduction function from the centralized BBU and relocates it to the distributed RRU. This extraction allows each RRU to independently reduce the dimension of its received time domain data before transmission, thereby reducing the overall data volume that needs to be transmitted over the shared optical fiber while maintaining the ability to simultaneously process multiple RRU inputs
Solution Approach 2:
The patent segments the dimension reduction process into individual RRU units, where each RRU performs independent dimension reduction on its own received data. This segmentation enables parallel processing across multiple RRUs, increasing simultaneous transmission efficiency while utilizing the shared optical fiber capacity effectively
Data Source
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AI summary
This application provides a data dimension reduction method, apparatus, and system, a computer device, and a storage medium, and relates to the communications field. The method includes: receiving an antenna domain received signal (201), where the antenna domain received signal includes an uplink signal that is sent by user equipment UE and that is received by an array antenna corresponding to an RRS, the antenna domain received signal is a time domain signal, a dimension of the antenna domain received signal is N1, and N1 is an integer greater than 1; obtaining a received beam weight, where the received beam weight is determined based on channel information of the UE, and different received beam weights are determined based on different channel information (202); and performing dimension reduction on the antenna domain received signal by using the received beam weight, to obtain a beam domain received signal (203), where the beam domain received signal is a frequency domain signal, a dimension of the beam domain received signal is N2, and 0 < N2 < N1. A problem of relatively low flexibility of data dimension reduction in a related technology is resolved according to the method.