Publication:
The Vision of 5G and Cell-Free Communication Networks in Malaysia

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dc.citedby4
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorMohamed K.S.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorSubhi M.A.en_US
dc.contributor.authorid56727803900en_US
dc.contributor.authorid57216259938en_US
dc.contributor.authorid35589598800en_US
dc.contributor.authorid57205154762en_US
dc.date.accessioned2023-05-29T08:08:22Z
dc.date.available2023-05-29T08:08:22Z
dc.date.issued2020
dc.description4G mobile communication systems; Computational complexity; Cost effectiveness; Deep learning; Queueing networks; Artificial intelligence technologies; Bandwidth capacity; Cellular network; Computer training; Data explosion; Guaranteed access; Industrial sensor; Location optimization; 5G mobile communication systemsen_US
dc.description.abstract5 G cellular networks are supposed to accommodate the ever-increasing data explosion and hyper-dense installation of base stations thanks to their capacity to leverage connectivity and cost-effectiveness. 5G networks can accommodate far more applications concurrently than the existing infrastructure easily and efficiently. This is particularly relevant in view of the fact that the Internet is going to be used by around 41.6 billion linked users by 2025. Many will require guaranteed access to cloud services to function safely, like autonomous vehicle systems and industrial sensors. Whilst 4G networks (which use the Internet Protocol and Wifi, wireless and reaction-based networking) dominated the environment of telecommunications, Artificial intelligence Technology has advanced, along with its numerous sub-categories, including machine learning and deep learning, which was ready for delivering 5G networks for individuals to tackle the decreased bandwidth capacity of 4G. This project encourages us to create location optimization technologies that chooses ideal places for services antennas, ensuring the best potential coverage and use computer training algorithms to distribute resources dynamically to minimise user interference and to save energy. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9243435
dc.identifier.doi10.1109/ICIMU49871.2020.9243435
dc.identifier.epage161
dc.identifier.scopus2-s2.0-85097641394
dc.identifier.spage156
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097641394&doi=10.1109%2fICIMU49871.2020.9243435&partnerID=40&md5=b1e12e0f857b4604e00454da68319eb6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25345
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020
dc.titleThe Vision of 5G and Cell-Free Communication Networks in Malaysiaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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