Error Control Codes for Molecular Communication Channels: A Survey

Darya, Abdollah Masoud; Vakani, Hassan; Nasir, Qassim

doi:10.1109/iccspa.2019.8713672

Cited by 6 publications

(24 citation statements)

References 24 publications

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“…IV-B., Table 3] gives a two-page overview of channel coding, covering ten selected studies up to 2018. Similarly, the fourpage conference paper [65] gives a brief overview of channel coding techniques up to 2018. In contrast, we provide a comprehensive up-to-date in-depth survey of channel coding approaches for DBMC; specifically, our survey includes 39 channel coding studies; whereby 17 of the channel coding studies have not been included in any previous survey; most of these 17 studies appeared after 2018.…”

Section: B Related Surveysmentioning

confidence: 99%

“…Table 5 gives an overview of all channel coding studies covered in Sections V-VIII, which we have organized into the four categories of linear block codes, convolutional codes, ISI-mitigation codes, and miscellaneous codes. Table 5 encompasses all channel coding studies covered in [63], [65], as well as 17 additional studies. The additional studies differ from the studies covered in [63], [65] primarily in their timeliness (appeared after 2018) and partly the topicality (cover additional topic aspects that were not covered in [63], [65]).…”

Section: Channel Coding In Diffusion-based Molecular Nanonetwork: An ...mentioning

confidence: 99%

“…Table 5 encompasses all channel coding studies covered in [63], [65], as well as 17 additional studies. The additional studies differ from the studies covered in [63], [65] primarily in their timeliness (appeared after 2018) and partly the topicality (cover additional topic aspects that were not covered in [63], [65]). Throughout Sections V-VIII, we present comprehensive surveys of the various channel coding techniques in DBMC nanonetworks treating the studies covered in [63], [65], and the 17 additional studies in an integrated manner so as to give a complete cohesive survey of the field of DBMC channel coding.…”

Section: Channel Coding In Diffusion-based Molecular Nanonetwork: An ...mentioning

confidence: 99%

“…This section is based on the fundamentals from Section II-C and comprehensively surveys the existing research on channel coding for DBMC nanonetworks. In order to provide a comprehensive survey, we survey both the studies that had previously been covered in [63], [65] as well as the additional studies that had not previously been covered in a cohesive integrated manner.…”

Section: Channel Coding: Linear Block Codesmentioning

confidence: 99%

“…This section first surveys the Hamming code based channel coding studies that had been included in [63], [65], i.e., the studies [128], [131], [202]- [205]. Subsequently, we survey the additional studies [206], [207] that appeared recently.…”

Section: A Hamming Codesmentioning

confidence: 99%

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Coding in Diffusion-Based Molecular Nanonetworks: A Comprehensive Survey

et al. 2023

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Diffusion-based molecular nanonetworks exploit the diffusion of molecules, e.g., in free space or in blood vessels, for the purpose of communication. This article comprehensively surveys coding approaches for communication in diffusion-based molecular nanonetworks. In particular, all three main purposes of coding for communication, namely source coding, channel coding, and network coding, are covered. We organize the survey of the channel coding approaches according to the different channel codes, including linear block codes, convolutional codes, and inter-symbol interference (ISI) mitigation codes. The network coding studies are categorized into duplex network coding, physical-layer network coding, multi-hop nanonetwork coding, performance improvements of network-coded nanosystems, and network coding in mobile nanonetworks. We also present a comprehensive set of future research directions for the still nascent area of coding for diffusion-based molecular nanonetworks; specifically, we outline research imperatives for each of the three main coding purposes, i.e., for source, channel, and network coding, as well as for overarching research goals.

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Section: B Related Surveysmentioning

confidence: 99%