Superpositioned Data Streams for Storage Areal Density
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Solution Overview
Problem
Current technologies for increasing storage areal density in storage devices, such as HAMR, BPM, and SMR, face challenges including experimental nature, requirement for device modifications, complexity, and increased costs, as well as adverse effects on data quality due to noise from compacted data.
Innovation Solution
The method involves modifying existing run-length limited (RLL) encoded data to insert additional symbols within contiguous sections of repeating bits, allowing for increased data storage without altering the underlying storage device, using a processor to generate and decode superpositioned data streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If HAMR or BPM techniques are used to increase storage areal density, then storage capacity is improved, but device complexity and manufacturing cost increase significantly
Solution Approach 1:
The patent changes the encoding parameters by inserting additional symbols into existing RLL-encoded data streams. This modifies the data representation without changing the physical storage device, thereby increasing storage capacity while avoiding the complexity of HAMR or BPM implementations
Solution Approach 2:
The patent creates a superpositioned data stream that is a modified copy of the original RLL-encoded stream. By inserting additional symbols into the existing encoded data, it effectively creates multiple layers of information storage without requiring new hardware components
2Quantity of substance
If HAMR or BPM techniques are used to increase storage areal density, then storage capacity is improved, but manufacturing cost increases
Solution Approach 1:
The patent modifies encoding parameters to insert additional symbols into RLL-encoded data streams. This software-based approach increases storage capacity without requiring expensive manufacturing changes like heating elements or nanolithography processes
Solution Approach 2:
The patent creates superpositioned data streams as modified copies of original encoded data, enabling increased storage capacity through data processing rather than expensive hardware manufacturing changes
3Quantity of substance
If SMR is used to increase storage areal density, then storage capacity is improved, but data quality deteriorates due to noise from compacted data
Solution Approach 1:
The patent changes the encoding scheme by inserting additional symbols into RLL-encoded streams. This maintains proper encoding constraints and signal quality while increasing storage capacity, avoiding the noise issues associated with SMR's track overlapping
4Quantity of substance
If RLL encoding is modified to insert additional symbols, then storage capacity increases, but data encoding complexity increases
Solution Approach 1:
The patent performs preliminary RLL encoding on the original data stream before inserting additional symbols. This ensures that the base encoding is valid and constraints are met, making the subsequent symbol insertion process more manageable and systematic
Solution Approach 2:
The patent segments the RLL-encoded data stream into identifiable portions where additional symbols can be inserted. By working with segmented data and using systematic insertion rules, the encoding complexity is managed rather than becoming unmanageable
Data Source
AI summary
Disclosed are systems, methods, and devices for increasing the storage areal density of a storage device. In one embodiment, a method is disclosed comprising receiving host data, the host data including first data and extra bit data; generating run-length limited (RLL) data by encoding the first data with an RLL encoder; generating a symbol corresponding to at least one bit of the extra bit data; and generating superpositioned data by inserting the symbol within a contiguous section of repeating bits in the RLL-encoded first data.