Abstract
In this paper, we study achievable rates of concatenated coding schemes over a deoxyribonucleic acid (DNA) storage channel. Our channel model incorporates the main features of DNA-based data storage. First, information is stored on many, short DNA strands. Second, the strands are stored in an unordered fashion inside the storage medium and each strand is replicated many times. Third, the data is accessed in an uncontrollable manner, i.e., random strands are drawn from the medium and received, possibly with errors. As one of our results, we show that there is a significant gap between the channel capacity and the achievable rate of a standard concatenated code in which one strand corresponds to an inner block. This is in fact surprising as for other channels, such as q-ary symmetric channels, concatenated codes are known to achieve the capacity. We further propose a modifiedconcatenated coding scheme by combining several strands into one inner block, which allows to narrow the gap and achieve rates that are close to the capacity.
Original language | English |
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Title of host publication | Proceedings of 2020 International Symposium on Information Theory and its Applications |
Publisher | IEEE |
Publication date | 24 Oct 2020 |
Pages | 269-273 |
Article number | 9366092 |
ISBN (Electronic) | 9784885523304 |
Publication status | Published - 24 Oct 2020 |
Event | 16th International Symposium on Information Theory and its Applications - Virtual, Kapolei, United States Duration: 24 Oct 2020 → 27 Oct 2020 Conference number: 16 |
Conference
Conference | 16th International Symposium on Information Theory and its Applications |
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Number | 16 |
Country/Territory | United States |
City | Virtual, Kapolei |
Period | 24/10/2020 → 27/10/2020 |
Sponsor | Institute of Electronics, Information and Communication Engineers |
Bibliographical note
Funding Information:This work has been supported by the European Union’s Horizon 2020 research and innovation programme under the the European Research Council (ERC) grant agreement no. 801434 and the Marie Sklodowska-Curie grant agreement no. 713683.
Publisher Copyright:
© 2020 IEICE.