Distributed RRM for 5G Multi-RAT Multiconnectivity Networks

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 resource...

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Vydáno v:IEEE systems journal Ročník 13; číslo 1; s. 192 - 203
Hlavní autoři: Monteiro, Victor Farias, Sousa, Diego Aguiar, Maciel, Tarcisio Ferreira, Cavalcanti, Francisco Rodrigo Porto, Silva, Carlos F. M. e, Rodrigues, Emanuel Bezerra
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.03.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
5G mobile communication
Algorithms
Cell selection
Cellular communication
dual connectivity (DC)
fifth generation (5G)
Integer programming
Linear programming
Long Term Evolution
Mixed integer
multi radio access technology (RAT)
Optimization
Performance evaluation
Radio access technologies
resource assignment
Resource management
Throughput
Wireless communication
Wireless networks
ISSN:1932-8184, 1937-9234
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Abstract 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.
AbstractList 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.
Author Monteiro, Victor Farias
Rodrigues, Emanuel Bezerra
Maciel, Tarcisio Ferreira
Cavalcanti, Francisco Rodrigo Porto
Silva, Carlos F. M. e
Sousa, Diego Aguiar
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SubjectTerms 5G mobile communication
Algorithms
Cell selection
Cellular communication
dual connectivity (DC)
fifth generation (5G)
Integer programming
Linear programming
Long Term Evolution
Mixed integer
multi radio access technology (RAT)
Optimization
Performance evaluation
Radio access technologies
resource assignment
Resource management
Throughput
Wireless communication
Wireless networks
Title Distributed RRM for 5G Multi-RAT Multiconnectivity Networks
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