Zobrazeno 1 - 10
of 6 336
pro vyhledávání: '"Ldpc codes"'
Autor:
Zhanxian Liu, Ling Zhao
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-12 (2024)
Abstract The new or future communication systems require much higher flexibility and scalability to support diverse scenarios. In this paper, a high-throughput low-density parity-check (LDPC) decoder on graphics processing unit is presented to meet t
Externí odkaz:
https://doaj.org/article/32604ad32a0b4096ae0cedcce98bf02e
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 513-518 (2024)
In this paper, a bi-directional sliding window decoder is proposed for spatially coupled low-density parity-check (SC-LDPC) codes, which improves the decoding complexity and performance compared to the conventional sliding window decoding (SWD) by sh
Externí odkaz:
https://doaj.org/article/95aa3bbddf6145e0a67841db8af1b807
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 1, Pp 217-226 (2024)
In this paper, we propose a doping approach to lower the error floor of Low-Density Parity-Check (LDPC) codes. The doping component is a short block code in which the information bits are selected from the coded bits of the dominant trapping sets of
Externí odkaz:
https://doaj.org/article/b07b89b7a13f41988c67e047498c3d0d
Autor:
Vladyslav Vasylenko, Serhii Zaitsev, Yuliia Tkach, Oleksandr Korchenko, Ruslana Ziubina, Olga Veselska
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 1, Pp 205-210 (2024)
The article proposes a method of assessing information transmission reliability by using the output normalized logarithmic ratio of the likelihood function (LRLF) of the decoder. Based on the evaluation, the method allows adapting system parameters w
Externí odkaz:
https://doaj.org/article/ec322d69634a48f3b7e7ea52368acdc9
Autor:
Fadl Dahan, Ph.D, Michaelraj Kingston Roberts, Munivenkatappa Nagabushanam, Ph.D, Taha M. Alfakih, Ph.D
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 101986- (2024)
Optimization techniques have emerged as powerful tools for solving complex engineering problems in real-time applications, surpassing traditional heuristic methods. This paper introduces a novel chaos optimization algorithm that integrates the bisect
Externí odkaz:
https://doaj.org/article/62cbbf4efa974739b59e909d62d6d6c7
Publikováno v:
IEEE Access, Vol 12, Pp 157260-157271 (2024)
The development of fifth-generation (5G) technology marks a significant milestone for digital communication systems, providing substantial improvements in data transmission speeds and enabling enhanced connectivity across a wider range of devices. Ho
Externí odkaz:
https://doaj.org/article/e51d23107cd048568c2162567d4d3719
Autor:
Toshiki Matsumine, Hideki Ochiai
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 6443-6481 (2024)
This paper provides a comprehensive survey of recent advances in deep learning (DL) techniques for channel coding problems. Inspired by the recent successes of DL in a variety of research domains, its applications to physical layer technologies have
Externí odkaz:
https://doaj.org/article/760c4c6dfa1641388b5cfc04f1e05495
Publikováno v:
IEEE Access, Vol 12, Pp 145671-145685 (2024)
The tremendous progress of 5G technology has transformed the landscape of the Internet of Things (IoT), allowing for fast data speeds, low delay, and widespread connection that is crucial for a variety of applications, including smart cities and indu
Externí odkaz:
https://doaj.org/article/42560b8e181b46e18e21d69ff9666e00
Autor:
Wassim Alexan, Laila Aly, Yousef Korayem, Mohamed Gabr, Dina El-Damak, Abdallah Fathy, Hany A. A. Mansour
Publikováno v:
IEEE Access, Vol 12, Pp 78589-78610 (2024)
This article presents a novel 2-layer image encryption cryptosystem and transmission protocol designed for secure communication of military reconnaissance images over unmanned aerial vehicle (UAV)-assisted relaying networks. The proposed scheme aims
Externí odkaz:
https://doaj.org/article/db147c5cfaa744b3952e7edba390f4ec
Publikováno v:
IEEE Access, Vol 12, Pp 73228-73237 (2024)
Channel decoding algorithms based on model-driven deep learning, also known as channel neural decoding algorithms, have received a lot of attention in recent years. However, the internal parameters and number of layers of the current channel neural d
Externí odkaz:
https://doaj.org/article/18fbfba93a0245ac9a5ca4ff2dec131e