Filler Symbol Randomization for EMI-Stable Data Bursts
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Solution Overview
Problem
Successive insertion of filler symbols in data bursts can cause high electromagnetic emissions leading to electromagnetic interference (EMI) at receiving devices, which is undesirable.
Innovation Solution
Randomizing the transmission of filler symbols by selecting them from a variety of symbol types or encoding their representation to control the trade-off between reducing emission peaks and power consumption overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If filler symbols are inserted to maintain active data burst, then data transmission continuity is improved, but electromagnetic emissions increase causing EMI
Solution Approach 1:
The patent applies parameter changes by modifying the characteristics of filler symbols through randomization. Instead of using identical filler symbols, the system randomizes their selection from multiple types or encodes them with varying representations. This changes the temporal and spectral parameters of the signal, reducing periodicity and thereby mitigating electromagnetic emissions while preserving data burst continuity.
Solution Approach 2:
The patent implements dynamics by introducing variability and adaptability into the filler symbol transmission. The system dynamically selects different filler symbol types or encodings based on randomization, rather than using a static, repetitive pattern. This dynamic approach disrupts signal periodicity and reduces electromagnetic interference while maintaining continuous data transmission.
2Object-generated harmful factors
If filler symbols are randomized to reduce EMI, then electromagnetic emissions are reduced, but power consumption increases
Solution Approach 1:
The patent applies parameter changes by adjusting the degree of randomization as a controllable variable. The system can modify parameters such as the number of filler symbol types, randomization probability, or encoding complexity to achieve different levels of EMI reduction. This allows optimization of the balance between electromagnetic emission reduction and power consumption based on operational requirements.
Data Source
AI summary
Methods, systems, and devices for filler symbols for data bursts are described. A memory device may insert filler symbols into a stream of data symbols. For example, after transmitting a last data symbol of a data burst, a device may insert one or more filler symbols to maintain an active data burst. The device may randomize the transmission of filler symbols within the data burst. In some cases, the device may randomly select filler symbols from a variety of symbol types, therefore randomizing which one of the symbols is transmitted. In some other cases, the device may randomize the representation of filler symbols within an encoding scheme.