A Relaying Graph and Special Strong Product for Zero-Error Problems in Primitive Relay Channels

Meysam Asadi, Kenneth Palacio-Baus, Natasha Devroye

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

A primitive relay channel (PRC) has one source (S) communicating a message to one destination (D) with the help of a relay (R). The link between R and D is considered to be noiseless, of finite capacity, and parallel to the link between S and (R,D). Prior work has established, for any fixed number of channel uses, the minimal R-D link rate needed so that the overall S-D message rate equals the zero-error single-input multiple output outer bound (Problem 1). The zero-error relaying scheme was expressed as a coloring of a carefully defined 'relaying compression graph'. It is shown here that this relaying compression graph for n channel uses is not obtained as a strong product from its n = 1 instance. Here we define a new graph, the 'primitive relaying graph' and a new 'special strong product' such that the n-channel use primitive relaying graph corresponds to the n-fold special strong product of the n = 1 graph. We show how the solution to Problem 1 can be obtained from this new primitive relaying graph directly. Further study of this primitive relaying graph has the potential to highlight the structure of optimal codes for zero-error relaying.

Idioma originalInglés
Título de la publicación alojada2018 IEEE International Symposium on Information Theory, ISIT 2018
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas281-285
Número de páginas5
ISBN (versión impresa)9781538647806
DOI
EstadoPublicada - 15 ago. 2018
Evento2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, Estados Unidos
Duración: 17 jun. 201822 jun. 2018

Serie de la publicación

NombreIEEE International Symposium on Information Theory - Proceedings
Volumen2018-June
ISSN (versión impresa)2157-8095

Conferencia

Conferencia2018 IEEE International Symposium on Information Theory, ISIT 2018
País/TerritorioEstados Unidos
CiudadVail
Período17/06/1822/06/18

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