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Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks

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Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks. / Gang, Jinwei; Friderikos, Vasilis.

In: IEEE Transactions on Vehicular Technology, 17.05.2019.

Research output: Contribution to journalArticle

Harvard

Gang, J & Friderikos, V 2019, 'Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks', IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2019.2917426

APA

Gang, J., & Friderikos, V. (2019). Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2019.2917426

Vancouver

Gang J, Friderikos V. Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks. IEEE Transactions on Vehicular Technology. 2019 May 17. https://doi.org/10.1109/TVT.2019.2917426

Author

Gang, Jinwei ; Friderikos, Vasilis. / Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks. In: IEEE Transactions on Vehicular Technology. 2019.

Bibtex Download

@article{880eeb3ba92241d2b2ecb229a654ce71,
title = "Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks",
abstract = "Recently the concept of network virtualization and network slicing attracted significantattention from both industry and academia as a key component of the evolving 5Garchitecture to allow the efficient entrance of vertical industries and tackle increasedaggregate traffic by flexible network re-configurability. However, the potential price to bepaid for facilitating network slicing in a multi-tenant virtual network is the underutilizationof the scarce wireless network resources due to the different tenant requirements and theinherent dynamics of the traffic. A potential way to avoid such sacrifice of radio resources is to allow efficient inter-tenant resource sharing. To this end, this work proposes a noveloptimization framework for flexible inter-tenant resource sharing embedded withtransmission power control to aggressively improve network capacity, the utilization ofwireless access resources, user data rate as well as energy efficiency. More specifically, wedefine two novel resource sharing mechanisms called Tight Coupling (TX) and LooseCoupling (LX), respectively, via Mixed Integer Linear Programming (MILP) formulations. Furthermore, two Resource and Power Joint Allocation (RPJA) algorithms are designed to solve the optimization problem in polynomial time. Based on 3GPP network parameterization, a rigorous analysis via a wide set of numerical investigations reveal that significant gains in network throughput, individual user rate and energy efficiency, can beachieved compared with current baseline network slicing methods and constant powerresource sharing algorithms.",
keywords = "5G and beyond, Network Virtualization, Energy Efficiency, resource allocation",
author = "Jinwei Gang and Vasilis Friderikos",
year = "2019",
month = "5",
day = "17",
doi = "10.1109/TVT.2019.2917426",
language = "English",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Inter-Tenant Resource Sharing and Power Allocation in 5G Virtual networks

AU - Gang, Jinwei

AU - Friderikos, Vasilis

PY - 2019/5/17

Y1 - 2019/5/17

N2 - Recently the concept of network virtualization and network slicing attracted significantattention from both industry and academia as a key component of the evolving 5Garchitecture to allow the efficient entrance of vertical industries and tackle increasedaggregate traffic by flexible network re-configurability. However, the potential price to bepaid for facilitating network slicing in a multi-tenant virtual network is the underutilizationof the scarce wireless network resources due to the different tenant requirements and theinherent dynamics of the traffic. A potential way to avoid such sacrifice of radio resources is to allow efficient inter-tenant resource sharing. To this end, this work proposes a noveloptimization framework for flexible inter-tenant resource sharing embedded withtransmission power control to aggressively improve network capacity, the utilization ofwireless access resources, user data rate as well as energy efficiency. More specifically, wedefine two novel resource sharing mechanisms called Tight Coupling (TX) and LooseCoupling (LX), respectively, via Mixed Integer Linear Programming (MILP) formulations. Furthermore, two Resource and Power Joint Allocation (RPJA) algorithms are designed to solve the optimization problem in polynomial time. Based on 3GPP network parameterization, a rigorous analysis via a wide set of numerical investigations reveal that significant gains in network throughput, individual user rate and energy efficiency, can beachieved compared with current baseline network slicing methods and constant powerresource sharing algorithms.

AB - Recently the concept of network virtualization and network slicing attracted significantattention from both industry and academia as a key component of the evolving 5Garchitecture to allow the efficient entrance of vertical industries and tackle increasedaggregate traffic by flexible network re-configurability. However, the potential price to bepaid for facilitating network slicing in a multi-tenant virtual network is the underutilizationof the scarce wireless network resources due to the different tenant requirements and theinherent dynamics of the traffic. A potential way to avoid such sacrifice of radio resources is to allow efficient inter-tenant resource sharing. To this end, this work proposes a noveloptimization framework for flexible inter-tenant resource sharing embedded withtransmission power control to aggressively improve network capacity, the utilization ofwireless access resources, user data rate as well as energy efficiency. More specifically, wedefine two novel resource sharing mechanisms called Tight Coupling (TX) and LooseCoupling (LX), respectively, via Mixed Integer Linear Programming (MILP) formulations. Furthermore, two Resource and Power Joint Allocation (RPJA) algorithms are designed to solve the optimization problem in polynomial time. Based on 3GPP network parameterization, a rigorous analysis via a wide set of numerical investigations reveal that significant gains in network throughput, individual user rate and energy efficiency, can beachieved compared with current baseline network slicing methods and constant powerresource sharing algorithms.

KW - 5G and beyond

KW - Network Virtualization

KW - Energy Efficiency

KW - resource allocation

U2 - 10.1109/TVT.2019.2917426

DO - 10.1109/TVT.2019.2917426

M3 - Article

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

ER -

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