Design of spectrum shaping codes for high-density data storage

Cai, Kui; Immink, Kees A. Schouhamer; Zhang, Mu; Zhao, Rong

doi:10.1109/icce.2018.8326206

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…For real-world implementation of S3, cost is a factor that must be considered. Others, like Cai et al (2017) depict a method for designing systematic codes that permit create efficient spectral shaping codes with the maximum run length possible. These codes can be very useful in highdensity data storage systems.…”

Section: Use Of Enterprise Data Storage Systems In Simulationmentioning

confidence: 99%

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Onggo

Corlu

Juan

et al. 2020

Enterprise Information Systems

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A symbiotic simulation system (S3), sometimes also called a 'digital twin', enables interactions between a physical system and its computational model representation. With the goal of supporting operational decisions, an S3 uses real-time data from the physical system, which is gathered via sensors. This real-time data is also saved in an enterprise data storage system (EDSS), so it can be used as historical data for future use. Both real-time and historical data are then used as inputs to the different components of an S3, which typically comprises several modules: data acquisition, simulation, optimisation, machine learning, and an 'actuator'. The latter is needed when there is not a human agent between the S3 and the system. Given the amount of data generated by today's smart systems, an S3 needs to be coupled with an EDSS. Furthermore, the S3 may produce a large amount of output data that needs to be stored, since it might be re-used by the machine learning module to make the S3 adaptive in dynamic scenarios. With the goal of supporting real-time operational decision-making -specially in Industry 4.0 applications such as smart cities, smart factories, intelligent transportation systems, and digital supply chains -, this paper proposes a generic system architecture for an S3 and discusses its integration within EDSSs. Moreover, the paper reviews the state-of-the-art in S3, and analyses how these systems can interact with EDSSs to make real-time decision making a reality. Finally, the paper also points out several research challenges in S3.

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Section: Use Of Enterprise Data Storage Systems In Simulationmentioning

confidence: 99%

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Onggo

Corlu

Juan

et al. 2020

Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

“…8 and the following remark). The lower bound for O Emax SEC (B) is computed using (19) and (1). As shown in Thm.…”

Section: Comparing Outage-constrained Capacitiesmentioning

confidence: 99%

“…Over the years, different construction schemes for RLL codes, with varied enhancements, have been proposed and analyzed [15]- [18]. Study of RLL codes has continued to be an important research topic, and recent work includes its application to high density data storage [19], DNA-based storage [20], and visible light communication [21].…”

Section: Introductionmentioning

confidence: 99%

Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer?

Tandon

Motani

Varshney

2019

IEEE Trans. on Green Commun. Netw.

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Run-length limited (RLL) codes are a well-studied class of constrained codes having application in diverse areas such as optical and magnetic data recording systems, DNA-based storage, and visible light communication. RLL codes have also been proposed for the emerging area of simultaneous energy and information transfer, where the receiver uses the received signal for decoding information as well as for harvesting energy to run its circuitry. In this paper, we show that RLL codes are not the best codes for simultaneous energy and information transfer, in terms of the maximum number of codewords which avoid energy outage, i.e., outage-constrained capacity. Specifically, we show that sliding window constrained (SWC) codes and subblock energy constrained (SEC) codes have significantly higher outageconstrained capacities than RLL codes.Index Terms-Run-length limited codes, simultaneous energy and information transfer, constrained codes, outage-constrained capacity.

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“…Constrained sequence (CS) codes, such as runlength-limited (RLL) codes, DC-free codes and DC-free RLL codes, continue to be studied for application in digital transmission [1]- [4], magnetic and optical recording [5]- [7], non-volatile storage [8]- [11], DNA-based storage systems [12] and visible light communication (VLC) [13]- [18]. Most constrained sequence codes are fixed-length codes, where codebooks consist of source words and codewords of uniform length.…”

Section: Introductionmentioning

confidence: 99%

Construction of Multi-State Capacity-Approaching Variable-Length Constrained Sequence Codes With State-Independent Decoding

Cao

Fair

2019

IEEE Access

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We consider the construction of capacity-approaching variable-length constrained sequence codes based on the multi-state encoders that permit state-independent decoding. Based on the finite-state machine description of the constraint, we first select the principal states and establish the minimal sets. By performing partial extensions and normalized geometric Huffman coding, efficient codebooks that enable state-independent decoding are obtained. We then extend this multi-state approach to a construction technique based on the n-step FSMs. We demonstrate the usefulness of this approach by constructing the capacity-approaching variable-length constrained sequence codes with improved efficiency and/or reduced implementation complexity to satisfy a variety of constraints, including the runlength-limited (RLL) constraint, the DC-free constraint, and the DC-free RLL constraint, with an emphasis on their application in visible light communications. INDEX TERMS Constrained sequence codes, variable-length codes, capacity-approaching codes, multi-state codes, state-independent decoding, visible light communication.

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Design of spectrum shaping codes for high-density data storage

Cited by 4 publications

References 5 publications

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer?

Construction of Multi-State Capacity-Approaching Variable-Length Constrained Sequence Codes With State-Independent Decoding

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