Self-Evolving Integrated Vertical Heterogeneous Networks
6G and beyond networks tend towards fully intelligent and adaptive design in order to provide better operational agility in maintaining universal wireless access and supporting a wide range of services and use cases while dealing with network complexity efficiently. Such enhanced network agility wil...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10041126/ |
| _version_ | 1797893839902474240 |
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| author | Amin Farajzadeh Mohammad G. Khoshkholgh Halim Yanikomeroglu Ozgur Ercetin |
| author_facet | Amin Farajzadeh Mohammad G. Khoshkholgh Halim Yanikomeroglu Ozgur Ercetin |
| author_sort | Amin Farajzadeh |
| collection | DOAJ |
| description | 6G and beyond networks tend towards fully intelligent and adaptive design in order to provide better operational agility in maintaining universal wireless access and supporting a wide range of services and use cases while dealing with network complexity efficiently. Such enhanced network agility will require developing a self-evolving capability in designing both the network architecture and resource management to intelligently utilize resources, reduce operational costs, and achieve the coveted quality of service (QoS). To enable this capability, the necessity of considering an integrated vertical heterogeneous network (VHetNet) architecture appears to be inevitable due to its high inherent agility. Moreover, employing an intelligent framework is another crucial requirement for self-evolving networks to deal with real-time network optimization problems. Hence, in this work, to provide a better insight into network architecture design in support of self-evolving networks, we highlight the merits of integrated VHetNet architecture while proposing an intelligent framework for self-evolving integrated vertical heterogeneous networks (SEI-VHetNets). The impact of the challenges associated with SEI-VHetNet architecture, on network management is also studied considering a generalized network model. Furthermore, the current literature on network management of integrated VHetNets along with the recent advancements in artificial intelligence (AI)/machine learning (ML) solutions are discussed. Accordingly, the core challenges of integrating AI/ML in SEI-VHetNets are identified. Finally, the potential future research directions for advancing the autonomous and self-evolving capabilities of SEI-VHetNets are discussed. |
| first_indexed | 2024-04-10T06:59:26Z |
| format | Article |
| id | doaj.art-61485766b18447be999663c4d8a15d92 |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-04-10T06:59:26Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-61485766b18447be999663c4d8a15d922023-02-28T00:00:51ZengIEEEIEEE Open Journal of the Communications Society2644-125X2023-01-01455258010.1109/OJCOMS.2023.324387010041126Self-Evolving Integrated Vertical Heterogeneous NetworksAmin Farajzadeh0https://orcid.org/0000-0001-6969-3309Mohammad G. Khoshkholgh1https://orcid.org/0000-0002-1607-3875Halim Yanikomeroglu2https://orcid.org/0000-0003-4776-9354Ozgur Ercetin3https://orcid.org/0000-0002-3454-5610Department of Systems and Computer Engineering, Carleton University, Ottawa, CanadaDepartment of Systems and Computer Engineering, Carleton University, Ottawa, CanadaDepartment of Systems and Computer Engineering, Carleton University, Ottawa, CanadaFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey6G and beyond networks tend towards fully intelligent and adaptive design in order to provide better operational agility in maintaining universal wireless access and supporting a wide range of services and use cases while dealing with network complexity efficiently. Such enhanced network agility will require developing a self-evolving capability in designing both the network architecture and resource management to intelligently utilize resources, reduce operational costs, and achieve the coveted quality of service (QoS). To enable this capability, the necessity of considering an integrated vertical heterogeneous network (VHetNet) architecture appears to be inevitable due to its high inherent agility. Moreover, employing an intelligent framework is another crucial requirement for self-evolving networks to deal with real-time network optimization problems. Hence, in this work, to provide a better insight into network architecture design in support of self-evolving networks, we highlight the merits of integrated VHetNet architecture while proposing an intelligent framework for self-evolving integrated vertical heterogeneous networks (SEI-VHetNets). The impact of the challenges associated with SEI-VHetNet architecture, on network management is also studied considering a generalized network model. Furthermore, the current literature on network management of integrated VHetNets along with the recent advancements in artificial intelligence (AI)/machine learning (ML) solutions are discussed. Accordingly, the core challenges of integrating AI/ML in SEI-VHetNets are identified. Finally, the potential future research directions for advancing the autonomous and self-evolving capabilities of SEI-VHetNets are discussed.https://ieeexplore.ieee.org/document/10041126/SEI-VHetNetnetwork managementoptimization problemsAI/ML solutions |
| spellingShingle | Amin Farajzadeh Mohammad G. Khoshkholgh Halim Yanikomeroglu Ozgur Ercetin Self-Evolving Integrated Vertical Heterogeneous Networks IEEE Open Journal of the Communications Society SEI-VHetNet network management optimization problems AI/ML solutions |
| title | Self-Evolving Integrated Vertical Heterogeneous Networks |
| title_full | Self-Evolving Integrated Vertical Heterogeneous Networks |
| title_fullStr | Self-Evolving Integrated Vertical Heterogeneous Networks |
| title_full_unstemmed | Self-Evolving Integrated Vertical Heterogeneous Networks |
| title_short | Self-Evolving Integrated Vertical Heterogeneous Networks |
| title_sort | self evolving integrated vertical heterogeneous networks |
| topic | SEI-VHetNet network management optimization problems AI/ML solutions |
| url | https://ieeexplore.ieee.org/document/10041126/ |
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