MIPI CSI-2 EPD Configuration Using Adaptive IPG Statistics
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Solution Overview
Problem
Existing high-speed data transport protocols, such as MIPI CSI-2, face challenges in selecting optimal configuration settings that balance data throughput and power consumption due to non-stationary behavior in dynamic environments, leading to inefficiencies in power usage and data reliability.
Innovation Solution
An apparatus and method that utilize an interpacket gap (IPG) calculator to compute running average values and statistics, enabling an efficient packet delimiter (EPD) configuration to optimize data transport by inserting spacer code packets, thereby reducing non-deterministic interpacket gaps and improving throughput while minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If configuration settings are selected to balance dc power consumption and data throughput, then power efficiency is improved, but data throughput may be compromised due to non-stationary behavior making optimal settings difficult to determine a priori
Solution Approach 1:
The system dynamically adjusts EPD configuration parameters based on real-time IPG statistics rather than using fixed a priori settings. The IPG calculator continuously monitors inter-packet gap characteristics and feeds this information to the EPD configurator, enabling the system to adapt to non-stationary traffic patterns and maintain optimal power-throughput balance dynamically
Solution Approach 2:
The system implements a feedback mechanism where IPG measurement results are continuously fed back to adjust EPD configuration. The IPG calculator measures actual inter-packet gap values, and this measured data is used by the EPD configurator to optimize delimiter insertion patterns, creating a closed-loop control system that responds to actual traffic conditions
2Device complexity
If a priori configuration settings are used, then device complexity is reduced, but reliability deteriorates due to inability to adapt to non-stationary behavior
Solution Approach 1:
The system performs self-configuration by automatically measuring IPG characteristics and determining optimal EPD parameters without requiring external intervention or complex manual configuration. The IPG calculator and EPD configurator work together to enable the system to self-optimize based on observed traffic patterns, reducing configuration complexity while maintaining high reliability
Solution Approach 2:
The system performs preliminary measurement of IPG characteristics before finalizing EPD configuration. By measuring and analyzing inter-packet gap patterns in advance, the system can pre-optimize delimiter insertion strategies, ensuring reliable data transport before actual high-speed transmission begins
3Productivity
If spacer code packets are inserted to reduce non-deterministic interpacket gaps, then data throughput is improved, but power consumption increases
Solution Approach 1:
The system optimizes the parameters of spacer code packet insertion by dynamically adjusting EPD configuration based on measured IPG statistics. Rather than uniformly inserting spacers at fixed intervals, the system modifies insertion probability and timing based on actual traffic patterns, reducing unnecessary spacer insertions and associated power consumption while maintaining throughput benefits
Data Source
AI summary
Aspects of the disclosure are directed to providing high-speed data transport. In accordance with one aspect, the disclosure includes computing a plurality of interpacket gap (IPG) running average values and one or more interpacket gap (IPG) statistics from a count of quantity of spacer code packets in a protocol engine and calculating an efficient packet delimiter (EPD) configuration using the plurality of IPG running average values and the one or more IPG statistics in a data transport protocol controller in the protocol engine.