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Binary subspace codes in small ambient spaces

URN to cite this document: urn:nbn:de:bvb:703-epub-3655-4

Title data

Heinlein, Daniel ; Kurz, Sascha:
Binary subspace codes in small ambient spaces.
Bayreuth , 2018 . - 20 S.

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Project information

Project title:
Project's official titleProject's id
Ganzzahlige Optimierungsmodelle für Subspace Codes und endliche GeometrieNo information

Project financing: Deutsche Forschungsgemeinschaft

Abstract

Codes in finite projective spaces equipped with the subspace distance have been proposed for error control in random linear network coding. Here we collect the present knowledge on lower and upper bounds for binary subspace codes for projective dimensions of at most $7$. We obtain several improvements of the bounds and perform two classifications of optimal subspace codes, which are unknown so far in the literature.

Further data

Item Type: Preprint, postprint
Keywords: Galois geometry; network coding; subspace code; partial spread
Subject classification: Mathematics Subject Classification Code: 94B05 05B25 51E20 (51E14 51E22 51E23)
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics in Economy
Faculties
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-3655-4
Date Deposited: 09 Apr 2018 07:00
Last Modified: 18 Mar 2019 09:01
URI: https://epub.uni-bayreuth.de/id/eprint/3655

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