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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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 22; no. 19; p. 7147
Main Authors Kuo, Yu-Po, Yu, Ya-Ju, Hong, Tzung-Pei, Lai, Wei-Kuang
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 21.09.2022
MDPI
Subjects
5G cellular networks
Algorithms
backhaul
Bandwidths
cache
CoMP
Genetic algorithms
joint transmission
Telecommunication systems
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ISSN1424-8220
1424-8220
DOI10.3390/s22197147

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Summary: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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ISSN:1424-8220
1424-8220
DOI:10.3390/s22197147