Moving Broadband Mobile Communications Forward
The deployment of 4G/LTE (Long-Term Evolution) mobile networks has solved the major challenge of high capacities to build a real broadband mobile internet. This was possible mainly through a very strong physical layer and flexible network architecture. However, bandwidth-hungry services such as virt...
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| Formato: | Online |
|---|---|
| Idioma: | inglês |
| Publicado em: |
IntechOpen
2023
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| Assuntos: | |
| Acesso em linha: | ONIX_20231201_9781839623448_2157 |
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| _version_ | 1869515765892251648 |
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| collection | Directory of Open Access Books |
| description | The deployment of 4G/LTE (Long-Term Evolution) mobile networks has solved the major challenge of high capacities to build a real broadband mobile internet. This was possible mainly through a very strong physical layer and flexible network architecture. However, bandwidth-hungry services such as virtual reality (VR) and augmented reality (AR), have been developed in an unprecedented way. Furthermore, mobile networks are facing other new services with extreme demand for greater reliability and almost zero-latency performance, like vehicle communications and the Internet of Vehicles (IoV). Therefore, industries and researchers are investigating new physical layers and softwarization techniques and including more intelligence in 5G and beyond 5G (B5G/6G). This book discusses some of these softwarization techniques, such as fog computing, cloud computing, and artificial intelligence (AI) and machine learning (ML). It also presents use cases showing practical aspects from 5G deployment scenarios, where other communications technologies will co-habit to build the landscape of next-generation mobile networks (NGMNs). |
| format | Online |
| id | doab-20.500.12854ir-131046 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1310462024-04-11T20:34:06Z Moving Broadband Mobile Communications Forward Haidine, Abdelfatteh fog computing, machine learning, artificial intelligence, deep learning, big data, cloud computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology The deployment of 4G/LTE (Long-Term Evolution) mobile networks has solved the major challenge of high capacities to build a real broadband mobile internet. This was possible mainly through a very strong physical layer and flexible network architecture. However, bandwidth-hungry services such as virtual reality (VR) and augmented reality (AR), have been developed in an unprecedented way. Furthermore, mobile networks are facing other new services with extreme demand for greater reliability and almost zero-latency performance, like vehicle communications and the Internet of Vehicles (IoV). Therefore, industries and researchers are investigating new physical layers and softwarization techniques and including more intelligence in 5G and beyond 5G (B5G/6G). This book discusses some of these softwarization techniques, such as fog computing, cloud computing, and artificial intelligence (AI) and machine learning (ML). It also presents use cases showing practical aspects from 5G deployment scenarios, where other communications technologies will co-habit to build the landscape of next-generation mobile networks (NGMNs). 2023-12-01T18:44:14Z 2023-12-01T18:44:14Z 2021 book ONIX_20231201_9781839623448_2157 9781839623448 9781839623431 9781839623455 https://directory.doabooks.org/handle/20.500.12854/131046 eng image/jpeg n/a https://www.intechopen.com/books/9173 https://mts.intechopen.com/storage/books/9173/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.83169 10.5772/intechopen.83169 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781839623448 9781839623431 9781839623455 IntechOpen 146 open access |
| spellingShingle | fog computing, machine learning, artificial intelligence, deep learning, big data, cloud computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology Moving Broadband Mobile Communications Forward |
| title | Moving Broadband Mobile Communications Forward |
| title_full | Moving Broadband Mobile Communications Forward |
| title_fullStr | Moving Broadband Mobile Communications Forward |
| title_full_unstemmed | Moving Broadband Mobile Communications Forward |
| title_short | Moving Broadband Mobile Communications Forward |
| title_sort | moving broadband mobile communications forward |
| topic | fog computing, machine learning, artificial intelligence, deep learning, big data, cloud computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology |
| topic_facet | fog computing, machine learning, artificial intelligence, deep learning, big data, cloud computing thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKW WAP (wireless) technology |
| url | ONIX_20231201_9781839623448_2157 |