Distributed RRM for 5G Multi-RAT Multiconnectivity Networks.
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| Název: | Distributed RRM for 5G Multi-RAT Multiconnectivity Networks. |
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| Autoři: | Monteiro, Victor Farias, Sousa, Diego Aguiar, Maciel, Tarcisio Ferreira, Cavalcanti, Francisco Rodrigo Porto, Silva, Carlos F. M. e, Rodrigues, Emanuel Bezerra |
| Zdroj: | IEEE Systems Journal; Mar2019, Vol. 13 Issue 1, p192-203, 12p |
| Abstrakt: | A tight interworking between the next generation of wireless cellular networks, the fifth generation (5G), and legacy standards, e.g., long term evaluation (LTE), is being envisioned in order to support a wide range of service requirements. Aiming at addressing the challenge of coordinating resources across different technologies, centralized processing units are being considered. However, they have practical issues, e.g., processing costs and increased signaling overhead. In this context, this work formulates an optimization problem in order to manage resources in a multi radio access technology (RAT) scenario. Its objective is to maximize the minimum user throughput in the system subject to the constraint that for each user, his throughput must be higher than a requirement. One of the differences from previous works is that the users may connect to more than one RAT at the same time, the so-called dual connectivity. The referred problem is nonlinear and hard to solve. However, we get to transform it into a simpler form, a mixed integer linear programming, which can be optimally solved using standard optimization methods. This solution is categorized as a centralized solution. Thus, we propose a distributed framework to overcome the drawbacks of centralized processing. This framework is divided into two parts: a base station (BS) selection procedure (performed by the users) and a resource assignment algorithm (performed by the BSs). Besides, a performance evaluation is conducted, considering fourth generation LTE and 5G new radio parameters. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Distributed RRM for 5G Multi-RAT Multiconnectivity Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Monteiro%2C+Victor+Farias%22">Monteiro, Victor Farias</searchLink><br /><searchLink fieldCode="AR" term="%22Sousa%2C+Diego+Aguiar%22">Sousa, Diego Aguiar</searchLink><br /><searchLink fieldCode="AR" term="%22Maciel%2C+Tarcisio+Ferreira%22">Maciel, Tarcisio Ferreira</searchLink><br /><searchLink fieldCode="AR" term="%22Cavalcanti%2C+Francisco+Rodrigo+Porto%22">Cavalcanti, Francisco Rodrigo Porto</searchLink><br /><searchLink fieldCode="AR" term="%22Silva%2C+Carlos+F%2E+M%2E+e%22">Silva, Carlos F. M. e</searchLink><br /><searchLink fieldCode="AR" term="%22Rodrigues%2C+Emanuel+Bezerra%22">Rodrigues, Emanuel Bezerra</searchLink> – Name: TitleSource Label: Source Group: Src Data: IEEE Systems Journal; Mar2019, Vol. 13 Issue 1, p192-203, 12p – Name: Abstract Label: Abstract Group: Ab Data: A tight interworking between the next generation of wireless cellular networks, the fifth generation (5G), and legacy standards, e.g., long term evaluation (LTE), is being envisioned in order to support a wide range of service requirements. Aiming at addressing the challenge of coordinating resources across different technologies, centralized processing units are being considered. However, they have practical issues, e.g., processing costs and increased signaling overhead. In this context, this work formulates an optimization problem in order to manage resources in a multi radio access technology (RAT) scenario. Its objective is to maximize the minimum user throughput in the system subject to the constraint that for each user, his throughput must be higher than a requirement. One of the differences from previous works is that the users may connect to more than one RAT at the same time, the so-called dual connectivity. The referred problem is nonlinear and hard to solve. However, we get to transform it into a simpler form, a mixed integer linear programming, which can be optimally solved using standard optimization methods. This solution is categorized as a centralized solution. Thus, we propose a distributed framework to overcome the drawbacks of centralized processing. This framework is divided into two parts: a base station (BS) selection procedure (performed by the users) and a resource assignment algorithm (performed by the BSs). Besides, a performance evaluation is conducted, considering fourth generation LTE and 5G new radio parameters. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of IEEE Systems Journal is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JSYST.2018.2838335 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 192 Titles: – TitleFull: Distributed RRM for 5G Multi-RAT Multiconnectivity Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Monteiro, Victor Farias – PersonEntity: Name: NameFull: Sousa, Diego Aguiar – PersonEntity: Name: NameFull: Maciel, Tarcisio Ferreira – PersonEntity: Name: NameFull: Cavalcanti, Francisco Rodrigo Porto – PersonEntity: Name: NameFull: Silva, Carlos F. M. e – PersonEntity: Name: NameFull: Rodrigues, Emanuel Bezerra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 19328184 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: IEEE Systems Journal Type: main |
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