Mode-Specific Coefficient Mixing for Flexible 5G Baseband Processing
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Solution Overview
Problem
Current methodologies for processing 5G wireless communications lack standardized approaches, leading to significant lead times in designing and processing hardware platforms, and existing solutions are inflexible, power-hungry, and require specific programming languages, making them inefficient for versatile operations.
Innovation Solution
A computing system that mixes input data with coefficient data to generate output data representative of wireless protocols, allowing for flexible processing modes and power-efficient operations across multiple standards, including 5G protocols like FBMC, GFDM, and NOMA, using a unified programming language and configurable algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customized signal processing methods are implemented for each hardware platform (ASIC, DSP, FPGA), then the processing is optimized for that specific hardware, but the device complexity increases and adaptability to different wireless protocols decreases
Solution Approach 1:
The patent implements a universal digital signal processing framework where a single hardware platform can process multiple wireless protocols (4G LTE, 5G NR, Wi-Fi, Bluetooth) through configurable software modules rather than dedicated hardware for each protocol. This allows one device to perform functions that previously required multiple specialized devices.
Solution Approach 2:
The system employs dynamic reconfiguration capabilities where processing parameters, algorithms, and resource allocation can be changed at runtime based on the active wireless protocol. This enables the same hardware to optimize its behavior for different protocols without physical reconfiguration.
2Reliability
If pre-defined processing algorithms are embedded during design and fabrication, then processing reliability is improved, but the ease of manufacture decreases and adaptability to new protocols is reduced
Solution Approach 1:
The patent pre-configures a flexible processing framework during manufacturing that includes standardized interfaces and modular algorithm structures. While specific protocol algorithms are not hard-coded, the framework is prepared in advance to efficiently load and execute different protocol-specific processing routines as needed.
Solution Approach 2:
Instead of manufacturing different hardware for each protocol, the system uses software copies of processing algorithms that can be loaded into the same hardware platform. This allows multiple protocol implementations to coexist and be switched between without physical changes to the device.
3Speed
If hardware platforms are designed with customized signal processing methods, then processing speed is optimized, but the device complexity and power consumption increase
Solution Approach 1:
The patent divides the signal processing functionality into separate modular components (e.g., FFT modules, filtering modules, modulation/demodulation modules) that can be independently optimized and configured. This segmentation allows the system to activate only the necessary processing chains for the current protocol, reducing overall complexity and power consumption.
4Reliability
If multiple wireless protocols are supported with dedicated hardware, then protocol performance is optimized, but power consumption and device complexity increase
Solution Approach 1:
The system implements periodic protocol switching and resource allocation where processing resources are activated and deactivated based on which wireless protocol is currently in use. This allows the device to maintain support for multiple protocols while consuming power only for the actively used protocol's processing requirements.
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 specific to a processing mode selection. 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 a specific processing mode selection. The processing mode selection may include a single processing mode, a multi-processing mode, or a full processing mode. The processing mode selection may be associated with an aspect of a wireless protocol. 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.