NR Uplink Signal Mapping Hardware Without Cache Units
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Solution Overview
Problem
The generation and resource mapping of uplink signals in the 3GPP NR protocol are complex and prone to errors, with software-based implementations facing long operation times and high resource consumption, while hardware-based methods increase design area due to cache units.
Innovation Solution
A fully hardware-based data processing apparatus performs online processing to map signal data to time-frequency resources, eliminating the need for offline caching and reducing design area, processing delay, and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software-based implementation is used for uplink signal generation and resource mapping, then implementation flexibility is improved, but operation time and resource consumption increase
Solution Approach 1:
The patent replaces software-based signal processing with a hardware-based processing system that uses dedicated hardware circuits for uplink signal generation and resource mapping. This substitution of mechanical/software system with hardware system achieves fixed operational time and reduced resource consumption while maintaining implementation flexibility through configurable hardware parameters.
2Loss of time
If hardware-based implementation is used for uplink signal generation and resource mapping, then operation time and resource consumption are reduced, but design area increases due to cache units
Solution Approach 1:
The patent extracts and eliminates the cache units from the hardware-based implementation, achieving signal processing without requiring additional cache memory resources. This extraction of unnecessary components reduces the design area while maintaining the speed advantages of hardware processing.
Solution Approach 2:
The patent implements a universal hardware processing architecture that can handle multiple uplink signal types (PUSCH, PUCCH, PRACH) and their corresponding reference signals using a single integrated processing system, eliminating the need for separate dedicated hardware modules and reducing overall design area.
3Manufacturing precision
If complex uplink signal generation processes are implemented, then signal mapping accuracy is improved, but implementation complexity increases
Solution Approach 1:
The patent segments the complex uplink signal generation process into distinct functional modules: classification unit for identifying signal types, processing unit for executing mapping operations, and resource allocation unit for assigning time-frequency resources. This segmentation maintains mapping accuracy while reducing implementation complexity through modular design.
Solution Approach 2:
The patent uses parameter-based configuration to achieve accurate signal mapping without complex implementation. By adjusting hardware parameters such as resource block allocation, time-frequency positioning, and signal type identifiers, the system achieves precise mapping control through simple parameter changes rather than complex processing logic.
Data Source
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AI summary
Provided in the present disclosure is a data processing method, comprising: determining the type of signal data; and performing online processing on the signal data according to the type of the signal data, so as to map the signal data onto a time-frequency resource to carry out transmission. Further provided in the present disclosure is a data processing apparatus.