Flexible SDN/NFV-based SON testbed for 5G mobile networks

Patane, Giancarlo M. M.; Valastro, Gianluca C.; Sambo, Yusuf A.; Öztürk, Metin; Hussain, Sajjad; Imran, Muhammad Ali; Panno, Daniela

doi:10.1109/ds-rt47707.2019.8958683

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Consequently, energy saving is a fundamental design requirement for 5G networks. Although, in the case of ground base stations, solutions as low-cost, low-complexity cell sleep scheduling algorithms may help to minimize the energy consumption while guaranteeing the service requirements [28,29], for UAV-assisted networks it is still an open-issue. For the coexistence of UAVs and underlaid device-to-device (D2D) communication networks, a tractable analytical framework is proposed in [22].…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

et al. 2021

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A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of studies focused on the sustainability element of UAV-assisted networking in the literature was limited thus far. We present a solution to this problem in this study; specifically, we design a Q-learning-based UAV placement strategy for long-term wireless connectivity while taking into account major constraints such as altitude regulations, nonflight zones, and transmit power. The goal is to determine the best location for the UAV base station (BS) while reducing energy consumption and increasing the number of users covered. Furthermore, a weighting method is devised, allowing energy usage and the number of users served to be prioritized based on network/battery circumstances. The suggested Q-learning-based solution is contrasted to the standard k-means clustering method, in which the UAV BS is positioned at the centroid location with the shortest cumulative distance between it and the users. The results demonstrate that the proposed solution outperforms the baseline k-means clustering-based method in terms of the number of users covered while achieving the desired minimization of the energy consumption.

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Section: Related Workmentioning

confidence: 99%

Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

et al. 2021

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“…Carrier Type [51]. The focus of this section is only on the energy/power consumption studies for separation architecture and not on the related development of the CDSA (Control-Data Separation Architecture) technology [6], [7]. Most of the efforts to understand the margins of energy savings reported very attractive figures.…”

Section: Related Workmentioning

confidence: 99%

“…The separation architecture discussed in this paper, also called CDSA (Control-Data Separation Architecture), is about making radio access part of the network (RAN) more energy efficient [5] and should not be confused with separation of control and user plane (CUPS) in EPC or core network in the context of 5G (https://www.3gpp.org/cups) to enable the implementation of Software Defined Networking for enhanced scalability. The state of the art of CDSA considers a macro cell as a control or signaling only cell and data transmissions are managed by SBSs [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Separation of Control and Data Transmissions in 5G Networks May Not be Beneficial

Zaidi

İnaltekin

Evans

2021

IEEE Trans. Wireless Commun.

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The logical separation of control signaling from data transmission in a mobile cellular network has been shown to have significant energy saving potential compared with the legacy systems. As a result, there has been a lot of focus in recent years on development and realization of separation architectures.Our study, however, shows that the energy savings of separation architecture remain under 16 − 17% when compared with legacy systems and this gain falls to a mere 7% when both architectures are realized under a CloudRAN (CRAN) setting. Moreover, when we strategically place some small base-stations (SBSs) to cover the area in a densely deployed scenario and allow all other base-stations (BSs) to be used only on-demand, the system consumes much less energy than the separation architecture. While we expected that most equipment would be shut down during nights, our study shows that around 70% of the small cells are required to be active to serve randomly distributed minimum data load, i.e., active mobile equipment. Contemporary mobile traffic is predominantly data which does not go to extremely low levels during nights. We discuss, in detail, the assumptions, their implications, and the effects of system parameter values on our conclusions.

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Radio Access Network Techniques Beyond 5G Network: A brief Overview

Ibrahim

Sadkhan

2021

2021 International Conference on Advanced Computer Applications (ACA)

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Flexible SDN/NFV-based SON testbed for 5G mobile networks

Cited by 4 publications

References 4 publications

Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones

Separation of Control and Data Transmissions in 5G Networks May Not be Beneficial

Radio Access Network Techniques Beyond 5G Network: A brief Overview

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