Reference Signal Generation Using Pseudo-Random Sequence Initial Factors
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Solution Overview
Problem
Current positioning technologies in 5G scenarios, such as OTDOA, face challenges in meeting the requirements for precision and delay in diverse environments like unmanned aerial vehicles and the Internet of Things, particularly in generating and detecting reference signals that support a large quantity of reference signal sequences.
Innovation Solution
A method for generating and detecting reference signals using pseudo-random sequence initial factors, which map sequences to OFDM symbols, allowing for support of multiple reference signal sequence IDs up to 4096 and compatibility with various subcarrier spacings and cyclic prefix types, ensuring compatibility with existing standards like NR CSI-RS and LTE systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional reference signal generation methods are used, then compatibility with existing systems is maintained, but the quantity of supported reference signal sequences is limited
Solution Approach 1:
The patent modifies the pseudo-random sequence generation parameters by introducing a new initial factor formula that incorporates additional system parameters (frame number, slot number, symbol index, and cell ID). This parameter expansion enables support for up to 4096 reference signal sequences while maintaining backward compatibility through the max() function that selects between old and new parameter sets based on system capabilities
2Measurement precision
If the number of reference signal sequence IDs is increased to support more scenarios, then positioning precision is improved, but system complexity increases
Solution Approach 1:
The patent segments the reference signal sequence identification space into multiple dimensions: frame-level identification, slot-level identification, symbol-level identification, and cell-level identification. This segmentation allows the system to support a large number of sequences (4096) by distributing the identification burden across multiple parameters rather than requiring a single large identifier, thereby managing system complexity
Solution Approach 2:
The patent transitions from a one-dimensional sequence identification approach to a multi-dimensional approach by incorporating frame number, slot number, symbol index, and cell ID as separate dimensions. This dimensional expansion enables the system to generate unique sequence identifiers for numerous reference signals without increasing the complexity of individual identification mechanisms
3Adaptability or versatility
If reference signal sequences are generated to support diverse 5G scenarios, then adaptability is improved, but the difficulty of sequence generation and detection increases
Solution Approach 1:
The patent creates a universal reference signal generation framework that can serve multiple 5G scenarios (unmanned aerial vehicles, Internet of Things, positioning) through a single unified formula. The max() function provides backward compatibility with existing systems while the extended parameter set enables future scenarios, making the system multi-functional without requiring separate generation mechanisms for different applications
Data Source
AI summary
This application provides a reference signal generation method, a reference signal detection method, and a communications apparatus, so that a terminal device or a network device can generate a reference signal by using a pseudo-random sequence initial factor cinit provided in embodiments of this application. Compared with a solution in the current technology, the generation manner can support a relatively large quantity of reference signal sequences, to better meet requirements of a plurality of 5G scenarios. The method may include: obtaining a reference signal sequence based on a pseudo-random sequence initial factor cinit; and mapping the sequence to one or more OFDM symbols, where the pseudo-random sequence initial factor cinit is related to a parameter d, d max(log2(nID,max+1)−10,0) or d=max(log2 (nID,max+1)−12,0), max represents that a larger value is selected from two values, and nID,max represents a maximum value of a reference signal sequence ID.