Code Constructions and Bounds for Identification via Channels

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Onur Gunlu - , Universität Siegen (Autor:in)
  • Jorg Kliewer - , New Jersey Institute of Technology (Autor:in)
  • Rafael F. Schaefer - , Universität Siegen (Autor:in)
  • Vladimir Sidorenko - , Technische Universität München (Autor:in)

Abstract

Consider the identification (ID) via channels problem, where a receiver decides whether the transmitted identifier is its identifier, rather than decoding it. This model allows to transmit identifiers whose size scales doubly-exponentially in the blocklength, unlike common transmission codes with exponential scaling. Binary constant-weight codes (CWCs) suffice to achieve the ID capacity. Relating parameters of a binary CWC to the minimum distance of a code and using higher-order correlation moments, two upper bounds on binary CWC sizes are proposed. These bounds are also upper bounds on identifier sizes for ID codes constructed by using binary CWCs. We propose two constructions based on optical orthogonal codes (OOCs), which are used in optical multiple access schemes, have constant-weight codewords, and satisfy cyclic cross-correlation and auto-correlation constraints. These constructions are modified and concatenated with outer Reed-Solomon codes to propose new binary CWCs being optimal for ID. Improvements to the finite-parameter performance are shown by using outer codes with larger minimum distance vs. blocklength ratios. We illustrate ID regimes for which our ID code constructions perform significantly better than existing constructions.

Details

OriginalspracheEnglisch
Seiten (von - bis)1486-1496
Seitenumfang11
FachzeitschriftIEEE Transactions on Communications
Jahrgang70
Ausgabenummer3
PublikationsstatusVeröffentlicht - 1 März 2022
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

ORCID /0000-0002-1702-9075/work/165878262

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

  • binary constant weight codes, constant composition codes, hypothesis testing, Identification via channels, optical orthogonal codes