RF Data Mixing With Learned Coefficients for Multi-Protocol 5G Processing
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Solution Overview
Problem
The transition to 5G wireless communication systems poses a challenge due to the lack of established methodologies for processing, requiring flexible and efficient hardware platforms that can accommodate various wireless protocols without the need for pre-defined processing algorithms during design and fabrication.
Innovation Solution
A computing system that mixes input data with coefficient data specific to different wireless protocols, allowing for versatile processing modes and protocols such as FBMC, GFDM, and NOMA, enabling efficient digital signal processing and adaptable hardware implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional hardware platforms (ASIC, FPGA, SoC) are used for digital signal processing, then processing capability and speed are improved, but adaptability to different wireless protocols deteriorates
Solution Approach 1:
The patent implements a universal processing platform that can handle multiple wireless protocols (5G, LTE, Wi-Fi, etc.) through a unified architecture. The system uses a common hardware foundation with configurable parameters and coefficients that can be adjusted to support different protocols, eliminating the need for separate customized hardware designs for each protocol while maintaining high processing speeds.
2Manufacturing precision
If customized signal processing methods are implemented for each hardware platform, then processing precision for specific protocols is improved, but device complexity and development time increase
Solution Approach 1:
The patent employs parameter changes by adjusting processing coefficients, filter parameters, and configuration settings within a unified hardware architecture to optimize performance for different wireless protocols. This allows the system to achieve protocol-specific processing precision without requiring customized hardware designs, thereby reducing design complexity while maintaining high processing accuracy.
3Reliability
If multiple customized hardware designs are created for different protocols, then protocol-specific performance is improved, but power consumption increases
Solution Approach 1:
The patent implements a single universal processing platform that can dynamically adapt to different wireless protocols through software configuration and parameter adjustment. This eliminates the need to operate multiple separate customized hardware designs simultaneously, thereby reducing overall power consumption while maintaining reliable protocol-specific performance through optimized processing paths and resource allocation.
Data Source
AI summary
Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.