A New Construction of High Performance LDPC Matrices for Mobile Networks; Sensors; Vol. 20, iss. 8

A New Construction of High Performance LDPC Matrices for Mobile Networks; Sensors; Vol. 20, iss. 8

Dettagli Bibliografici
Parent link:Sensors
Vol. 20, iss. 8.— 2020.— [2300, 24 p.]
Ente Autore: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Altri autori: Sarvaghad-Moghaddam M., Ullah W. Waheed, Dzhayakodi (Jayakody) Arachshiladzh D. N. K. Dushanta Nalin Kumara, Affes S. Sofiene
Riassunto:Title screen
Secure and reliable information flow is one of the main challenges in social IoT and mobile networks. Information flow and data integrity is still an open research problem. In this paper, we develop new methods of constructing systematic and regular Low-Density Parity-Check Matrices (LDPCM), inspired by the structure of the Sarrus method and geometric designs. Furthermore, these codes have cyclic structure and therefore, are less complex in computation and also require less memory in hardware implementation. Besides, an optimal method of post-processing for deleting girths four is presented. Numerical results show that the codes constructed by these methods perform well over the additive white Gaussian noise (AWGN) channel when decoded with the sum-product LDPC iterative algorithms. The proposed methods can be very efficient in terms of reducing memory consumption and improving the convergence speed of the decoder particularly in IoT and mobile networks.
Lingua:inglese
Pubblicazione: 2020
Soggetti:
электронный ресурс
труды учёных ТПУ
LDPC
regular parity check matrix
IoT
mobile networks
quasi-cyclic (QC) LDPC
Accesso online:https://doi.org/10.3390/s20082300
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663469

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