PNR Encoder Reduces PDN Noise in High-Speed Serial Links
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Solution Overview
Problem
High-speed serial communication links are affected by power delivery network (PDN) noise, which causes jitter and reduces eye openings due to resonance excitation and channel-to-channel noise coupling, especially at speeds above 20 Gbps.
Innovation Solution
A method and apparatus for encoding and decoding data using a power-noise-reducing (PNR) encoder and decoder, separate from communication protocol encoding, to reduce PDN noise by generating PNR-encoded serial data and decoding it back to original form, thereby reducing noise surges and channel performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If physical design implementations (adding decoupling capacitance, increasing package layer counts) are used to reduce PDN noise, then PDN impedance control improves, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent extracts the PDN noise reduction function from the physical design domain and relocates it to the signal processing domain by implementing encoding/decoding circuits that operate on the data signal itself. This separates the noise mitigation function from the physical power delivery infrastructure, reducing the need for additional decoupling capacitance and package layers.
Solution Approach 2:
The patent replaces the mechanical/physical approach (adding physical components like decoupling capacitance and increasing package layers) with an electrical/software-based approach (encoding/decoding circuits that modify the data signal to reduce PDN noise). This substitution eliminates the need for complex physical design modifications.
2Object-affected harmful factors
If physical design implementations (adding decoupling capacitance, increasing package layer counts) are used to reduce PDN noise, then PDN impedance control improves, but manufacturing cost increases
Solution Approach 1:
The patent extracts the noise reduction function from physical design modifications and implements it through encoding/decoding circuits. This eliminates the need for additional manufacturing steps such as adding decoupling capacitance components or increasing package layer counts, thereby reducing manufacturing complexity and cost.
Solution Approach 2:
The patent uses simple encoding/decoding logic circuits that can be implemented with minimal additional hardware resources, replacing expensive physical design modifications. The encoding/decoding approach uses inexpensive logic operations rather than costly physical components or manufacturing processes.
3Speed
If data is transmitted at speeds of 20 Gbps and above, then communication speed improves, but PDN noise impact on channel performance increases
Solution Approach 1:
The patent applies preliminary anti-action by encoding the data signal before transmission to preemptively reduce PDN noise excitation. The encoding process shapes the signal to minimize resonance excitation and noise coupling, preventing channel performance degradation before it occurs during high-speed transmission.
Solution Approach 2:
The patent changes the parameters of the data signal through encoding/decoding operations. The encoder modifies the signal characteristics (transition patterns, duty cycle, spectral content) to reduce PDN noise impact, while the decoder restores the original data. This parameter transformation enables high-speed transmission while maintaining channel performance.
Data Source
AI summary
Embodiments disclosed herein relate to apparatus and methods of transceiver power noise reduction. One embodiment relates to a method of serial data communication. At a transmitter, data may be encoded by a communication protocol encoder, and the protocol-encoded data may be serialized. The serialized data may be encoded for power-delivery-network noise reduction (PNR) so as to generate PNR-encoded serial data, and the PNR-encoded serial data may be driven onto a communication channel. Other embodiments, aspects, and features are also disclosed.