Wireless Mixing Coefficients for Multi-Protocol 5G Signal Processing
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Solution Overview
Problem
The transition to 5G wireless communications poses challenges in designing and processing hardware platforms due to the need for customized methodologies and inflexible frameworks in existing solutions, which are not well-suited for the increased speed and ubiquity promised by 5G systems.
Innovation Solution
A system and method that mix input data with coefficient data to generate output data representative of wireless protocols, using a configurable algorithm and processing units with multiple layers of multiplication/accumulation units and memory look-up units, allowing for flexible processing and operation across various wireless standards and protocols, including 5G systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customized signal processing methods are implemented for each hardware platform (ASIC, FPGA, SoC), then processing capability is optimized for specific protocols, but device complexity and development time increase significantly
Solution Approach 1:
The patent implements a universal processing framework that can handle multiple wireless protocols (5G NR, LTE, Wi-Fi, Bluetooth) through a single hardware architecture. The system uses configurable parameters and lookup tables to adapt to different protocols without requiring custom design for each one, thus reducing device complexity while maintaining processing capability across various standards.
Solution Approach 2:
The system changes operational parameters dynamically to support different protocols. By modifying parameters such as filter coefficients, sampling rates, and processing configurations based on the selected protocol, the same hardware platform can optimize processing capability for each protocol without physical redesign, resolving the contradiction between reliability and device complexity.
2Productivity
If hardware platforms are designed with fixed methodologies for current wireless standards, then processing is efficient for existing protocols, but adaptability to 5G and future systems is limited
Solution Approach 1:
The patent introduces dynamic configurability to the hardware platform, allowing it to adapt its processing methodology based on the required protocol. The system can dynamically switch between different processing modes and configurations to maintain high productivity for current protocols while simultaneously gaining adaptability to future 5G and beyond systems through software-defined parameter adjustments.
Solution Approach 2:
The system prepares multiple protocol configurations and parameter sets in advance, stored as lookup tables or configurable registers. When a protocol is selected, the corresponding pre-configured parameters are loaded, enabling the hardware to efficiently process the selected protocol while being pre-adapted to support future standards without requiring redesign.
3Adaptability or versatility
If multiple processing units are used to support various wireless standards, then protocol versatility is improved, but power consumption and device complexity increase
Solution Approach 1:
The patent employs a single universal processing unit that can be configured to handle multiple wireless protocols through parameter adjustment and lookup table selection. This eliminates the need for multiple dedicated processing units, thereby reducing power consumption while maintaining protocol versatility. The same hardware resources are reused across different protocols based on configuration.
Data Source
AI summary
Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data delayed versions of at least a portion of the respective processing results with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data delayed versions of respective outputs of various layers of multiplication/accumulation processing units (MAC units) 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 a wireless processing mode selection. In another example, such mixing input data with delayed versions of processing results may be to receive and process noisy wireless input data. 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.