Memory-Based LT Codes for Efficient 5G Networks and Beyond

The next-generation networks (5G and beyond) require robust channel codes to support their high specifications, such as low latency, low complexity, significant coding gain, and flexibility. In this paper, we propose using a fountain code as a promising solution to 5G and 6G networks, and then we pr...

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Main Author: Khaled F. Hayajneh
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/24/3169
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author Khaled F. Hayajneh
author_facet Khaled F. Hayajneh
author_sort Khaled F. Hayajneh
collection DOAJ
description The next-generation networks (5G and beyond) require robust channel codes to support their high specifications, such as low latency, low complexity, significant coding gain, and flexibility. In this paper, we propose using a fountain code as a promising solution to 5G and 6G networks, and then we propose using a modified version of the fountain codes (Luby transform codes) over a network topology (Y-network) that is relevant in the context of the 5G networks. In such a network, the user can be connected to two different cells at the same time. In addition, the paper presents the necessary techniques for analyzing the system and shows that the proposed scheme enhances the system performance in terms of decoding success probability, error probability, and code rate (or overhead). Furthermore, the analyses in this paper allow us to quantify the trade-off between overhead, on the one hand, and the decoding success probability and error probability, on the other hand. Finally, based on the analytical approach and numerical results, our simulation results demonstrate that the proposed scheme achieves better performance than the regular LT codes and the other schemes in the literature.
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spelling doaj.art-2b07f88645d842c485d7026f4d62bc8b2023-11-23T08:03:05ZengMDPI AGElectronics2079-92922021-12-011024316910.3390/electronics10243169Memory-Based LT Codes for Efficient 5G Networks and BeyondKhaled F. Hayajneh0The Communication Engineering Department, Yarmouk University, Irbid 21163, JordanThe next-generation networks (5G and beyond) require robust channel codes to support their high specifications, such as low latency, low complexity, significant coding gain, and flexibility. In this paper, we propose using a fountain code as a promising solution to 5G and 6G networks, and then we propose using a modified version of the fountain codes (Luby transform codes) over a network topology (Y-network) that is relevant in the context of the 5G networks. In such a network, the user can be connected to two different cells at the same time. In addition, the paper presents the necessary techniques for analyzing the system and shows that the proposed scheme enhances the system performance in terms of decoding success probability, error probability, and code rate (or overhead). Furthermore, the analyses in this paper allow us to quantify the trade-off between overhead, on the one hand, and the decoding success probability and error probability, on the other hand. Finally, based on the analytical approach and numerical results, our simulation results demonstrate that the proposed scheme achieves better performance than the regular LT codes and the other schemes in the literature.https://www.mdpi.com/2079-9292/10/24/31695GLT codes: channel codesnetwork codingfountain code
spellingShingle Khaled F. Hayajneh
Memory-Based LT Codes for Efficient 5G Networks and Beyond
Electronics
5G
LT codes: channel codes
network coding
fountain code
title Memory-Based LT Codes for Efficient 5G Networks and Beyond
title_full Memory-Based LT Codes for Efficient 5G Networks and Beyond
title_fullStr Memory-Based LT Codes for Efficient 5G Networks and Beyond
title_full_unstemmed Memory-Based LT Codes for Efficient 5G Networks and Beyond
title_short Memory-Based LT Codes for Efficient 5G Networks and Beyond
title_sort memory based lt codes for efficient 5g networks and beyond
topic 5G
LT codes: channel codes
network coding
fountain code
url https://www.mdpi.com/2079-9292/10/24/3169
work_keys_str_mv AT khaledfhayajneh memorybasedltcodesforefficient5gnetworksandbeyond