Reconfigurable Correlation Unit for Software-Defined Radio Power Efficiency
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Solution Overview
Problem
Current software-defined radio (SDR) devices face challenges in achieving optimal performance and power efficiency due to the limitations of existing data processors, which struggle to meet real-time processing requirements and scalability needs for wireless mobile stations, particularly in multi-standard wireless devices.
Innovation Solution
A reconfigurable correlation unit is implemented in a context-based operation reconfigurable instruction set processor, comprising a memory for storing chip samples, add-subtract cells, and processing units with sign select units, enabling efficient processing and power management across different wireless standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general-purpose processors (DSP, RISC, CISC) are used in SDR devices, then flexibility and programmability are improved, but power consumption and processing speed for real-time requirements deteriorate
Solution Approach 1:
The processor is divided into multiple specialized execution units (correlation unit, FFT unit, filtering unit, etc.), each optimized for specific signal processing tasks. This segmentation allows the system to use only the necessary processing power for each operation, reducing overall power consumption while maintaining flexibility through software-controlled configuration of different units.
Solution Approach 2:
The processor employs dynamic reconfiguration capabilities where execution units can be programmatically enabled or disabled based on the current wireless standard and processing requirements. This dynamic adjustment optimizes power consumption by activating only the necessary processing components for each specific application scenario.
2Adaptability or versatility
If general-purpose processors are used in SDR devices, then adaptability to different wireless standards is improved, but real-time processing capability deteriorates
Solution Approach 1:
Different execution units within the processor have specialized hardware optimized for their specific functions (e.g., correlation unit for code correlation, FFT unit for frequency transformation). This local optimization ensures that each processing task is executed at maximum speed by hardware specifically designed for that operation, while the overall system maintains adaptability through software configuration.
Solution Approach 2:
The processor replaces general-purpose software-based signal processing with dedicated hardware execution units for critical real-time operations. This substitution of specialized hardware for general software processing dramatically improves processing speed for time-critical functions while maintaining flexibility through programmable control.
3Adaptability or versatility
If multiple separate processors are used to support different wireless standards, then versatility is improved, but device complexity and die size deteriorate
Solution Approach 1:
The processor implements a universal architecture where a single device contains multiple execution units that can be configured to support different wireless standards (CDMA, WCDMA, IEEE-802.11b, etc.). This multi-functional design eliminates the need for separate processors for each standard, reducing device complexity and die size while maintaining versatility through software-controlled configuration of the execution units.
4Productivity
If specialized hardware is used for each wireless standard, then processing efficiency is improved, but adaptability and scalability deteriorate
Solution Approach 1:
The processor employs dynamic reconfiguration capabilities where execution units can be programmatically enabled or disabled based on the current wireless standard and processing requirements. This dynamic adjustment optimizes processing efficiency by activating only the necessary processing components for each specific application scenario.
5Productivity
If high-performance processors are used to meet real-time requirements, then processing capability is improved, but power consumption deteriorates
Solution Approach 1:
The processor is divided into multiple specialized execution units (correlation unit, FFT unit, filtering unit, etc.), each optimized for specific signal processing tasks. This segmentation allows the system to use only the necessary processing power for each operation, reducing overall power consumption while maintaining high processing capability through parallel operation of specialized units.
Solution Approach 2:
Different execution units within the processor have specialized hardware optimized for their specific functions. This local optimization ensures that each processing task is executed at maximum speed by hardware specifically designed for that operation, while the overall system maintains power efficiency by activating only the necessary units.
Data Source
AI summary
A re-configurable correlation unit for correlating a sequence of chip samples comprising: 1) a memory for storing the chip samples; 2) a plurality of add-subtract cells, each add-subtract cell receiving a plurality of real bits, a, and a plurality of imaginary bits, b, from a first chip sample; and 3) a plurality of sign select units. Each sign select units receives from one add-subtract cells a first input equal to a sum (a+b) of the real bits, a, and the imaginary bits, b, and a second input equal to a difference (a−b) of the real bits, a, and the imaginary bits, b. Each sign select unit generates a real output and an imaginary output, wherein each of the real and imaginary outputs is equal to one of: 1) the sum (a+b) multiplied by one of +1 and −1 and 2) the difference (a−b) multiplied by one of +1 and −1.