Bit Reordering and Inversion for Data Bus Transition Reduction
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Solution Overview
Problem
Current data communication systems face challenges in reducing power consumption and noise due to high bit transitions, which cause fluctuations in supply current and induce noise, especially when transmitting multiple bits in parallel.
Innovation Solution
The system modifies the order of data transmission by performing skip operations and uses data bus inversion (DBI) to minimize bit transitions per bit time, thereby reducing power consumption and noise. This is achieved by reordering bits in the data stream and applying conditional inversion operations, with additional bit lanes managing skip and inversion signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transmitted with high bit transitions to increase throughput, then data transmission speed is improved, but power consumption increases and noise is generated
Solution Approach 1:
The patent applies Data Bus Inversion (DBI) which conditionally inverts data bits based on the number of transitions detected. When transition count exceeds a threshold, inversion is applied to reduce transitions. This dynamically changes the data transmission parameter (bit pattern) to optimize between speed and power consumption by reducing supply current fluctuations.
2Use of energy by moving object
If data bus inversion is applied to reduce bit transitions, then power consumption is reduced, but system complexity increases due to additional control logic
Solution Approach 1:
The patent counts bit transitions in advance before transmission and makes inversion decisions based on pre-calculated transition thresholds. The DBI logic evaluates the incoming data pattern, determines if inversion is needed, and applies the transformation before data is placed on the bus. This preliminary evaluation approach simplifies the overall control structure by making inversion decisions based on straightforward transition counting rather than complex real-time optimization.
3Object-affected harmful factors
If bit transitions are reduced to minimize noise, then noise is reduced, but data transmission efficiency may be compromised
Solution Approach 1:
The patent dynamically changes data representation parameters by applying conditional inversion based on transition thresholds. When the data pattern would cause excessive transitions (and thus noise), inversion transforms the bits to reduce transitions while maintaining the same information content. The receiver applies corresponding de-inversion to recover original data, ensuring no information loss and maintaining transmission efficiency.
Data Source
AI summary
A system and method for reordering transmitted bits to minimize the number of bit transitions per bit time, reducing system power consumption and signaling noise. Bit reordering is accomplished by performing skip operations, where to-be-transmitted bits are replaced by one or more bits in the bit stream at given bit times. DBI may be used in addition, or as an alternative, to bit reordering to further minimize the number of bit transitions per bit time. A receiver performs operations necessary to restore bits to their original sequence and/or recover the bits in their non-inverted form.