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Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks

Coordinated multipoint joint transmission (JT) is one of the critical downlink transmission technologies to improve network throughput. However, multiple cells in a JT group should have the same user data to transmit simultaneously, resulting in a considerable backhaul burden. Even when cells are al...

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Autores principales: Kuo, Yu-Po, Yu, Ya-Ju, Hong, Tzung-Pei, Lai, Wei-Kuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571299/
https://www.ncbi.nlm.nih.gov/pubmed/36236245
http://dx.doi.org/10.3390/s22197147
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author Kuo, Yu-Po
Yu, Ya-Ju
Hong, Tzung-Pei
Lai, Wei-Kuang
author_facet Kuo, Yu-Po
Yu, Ya-Ju
Hong, Tzung-Pei
Lai, Wei-Kuang
author_sort Kuo, Yu-Po
collection PubMed
description Coordinated multipoint joint transmission (JT) is one of the critical downlink transmission technologies to improve network throughput. However, multiple cells in a JT group should have the same user data to transmit simultaneously, resulting in a considerable backhaul burden. Even when cells are already equipped with caches in fifth-generation networks, JT groups, without effectively utilizing the caching data, still cause unnecessary backhaul data traffic. In this article, we investigate the JT grouping problem with the consideration of caches at cells. Then, we propose a genetic approach to solve the above problem with the objective of minimizing the amount of backhaul data traffic subject to the data-rate requirement of each user. The simulation results show that our proposed generic algorithm can significantly decrease the backhaul bandwidth consumption compared to the two baselines.
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spelling pubmed-95712992022-10-17 Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks Kuo, Yu-Po Yu, Ya-Ju Hong, Tzung-Pei Lai, Wei-Kuang Sensors (Basel) Article Coordinated multipoint joint transmission (JT) is one of the critical downlink transmission technologies to improve network throughput. However, multiple cells in a JT group should have the same user data to transmit simultaneously, resulting in a considerable backhaul burden. Even when cells are already equipped with caches in fifth-generation networks, JT groups, without effectively utilizing the caching data, still cause unnecessary backhaul data traffic. In this article, we investigate the JT grouping problem with the consideration of caches at cells. Then, we propose a genetic approach to solve the above problem with the objective of minimizing the amount of backhaul data traffic subject to the data-rate requirement of each user. The simulation results show that our proposed generic algorithm can significantly decrease the backhaul bandwidth consumption compared to the two baselines. MDPI 2022-09-21 /pmc/articles/PMC9571299/ /pubmed/36236245 http://dx.doi.org/10.3390/s22197147 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kuo, Yu-Po
Yu, Ya-Ju
Hong, Tzung-Pei
Lai, Wei-Kuang
Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title_full Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title_fullStr Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title_full_unstemmed Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title_short Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks
title_sort genetic approach for joint transmission grouping in next-generation cellular networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571299/
https://www.ncbi.nlm.nih.gov/pubmed/36236245
http://dx.doi.org/10.3390/s22197147
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