Digital Predistortion Signal Splitting for Spectrum Emission Compliance
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Solution Overview
Problem
Existing radio frequency (RF) improvements in new radio technology are insufficient to meet spectrum emission requirements, and the development of advanced digital pre-distortion (DPD) algorithms is hindered by slow ASIC development cycles and high costs, as well as limitations in field programmable gate arrays (FPGAs), leading to excessive heat generation and increased costs for base station vendors.
Innovation Solution
A digital signal processing apparatus and method that splits input signals into multiple frequency bands, separates them into component signals with different phases, and performs pre-distortion computations using these components to generate a pre-distorted signal for power amplifiers, optimizing DPD algorithms through dual DPD engines with distinct terms to enhance sampling rates and DPD model complexity without exceeding hardware capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If advanced digital pre-distortion algorithms are implemented to meet spectrum emission requirements, then signal transmission quality is improved, but hardware resource consumption and heat generation increase
Solution Approach 1:
The input signal is divided into multiple frequency bands (e.g., lower band and upper band), and each band is processed separately by dedicated DPD engines. This segmentation allows the system to achieve high precision spectrum emission compliance while distributing computational load across multiple smaller processing units, reducing overall heat generation in a single processor.
2Measurement precision
If higher sampling rates are used to improve DPD algorithm performance, then signal processing accuracy is improved, but hardware complexity and cost increase
Solution Approach 1:
The high sampling rate processing is segmented across multiple DPD engines, each handling specific frequency bands. This allows the system to achieve high measurement precision through adequate sampling rates without requiring a single overly complex processor, as the computational burden is distributed across several simpler processing units.
Solution Approach 2:
The patent transitions from time-domain processing to frequency-domain processing by dividing the signal into different frequency bands. This dimensional change allows the system to achieve high processing accuracy without proportionally increasing hardware complexity, as frequency band separation enables more efficient computational approaches for each segment.
3Productivity
If larger FPGAs are selected to support higher clock rates for improved algorithms, then DPD performance is improved, but base station cost and heat generation increase
Solution Approach 1:
The processing capability is segmented into multiple smaller DPD engines rather than using a single large FPGA. Each engine operates at appropriate clock rates for its specific frequency band, achieving high overall productivity while distributing heat generation across multiple smaller components rather than concentrating it in one large device.
Data Source
AI summary
Disclosed are methods and apparatus for optimizing digital pre-distortion associated with a network device. The digital signal processing apparatus in a communication network may comprise at least one processor and at least one memory having computer program code stored thereon and configured, with the at least one processor, cause the digital signal processing apparatus as a network device to perform: splitting an input signal into two or more split signals with different frequencies, the frequency of each of said split signals being different from other said split signals; separating each of the two or more split signals into two or more component signals with different phases; and performing pre-distortion computation by using the component signals to get a pre-distorted signal to be transmitted to a power amplifier.