Enhanced Handover Signaling through Integrated MME-SDN Controller Solution

Jain, Akshay; López-Aguilera, Elena; Demirkol, Ilker

doi:10.1109/vtcspring.2018.8417719

Cited by 13 publications

(15 citation statements)

References 10 publications

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“…In particular, there is a great interest in SDN-based backhauling due to the dominant role that these networks will have in future 5G systems, especially in presence of UDNs and new paradigms such as Cloud-RAN, caching, fog/edge computing [10][11][12]. In this area, recent papers focus on specific services provided by an SDN-based backhaul network, such as mobility management [13][14][15], multi-tenant network slicing [16,17], caching [18,19] and cross-layer coordination [20].…”

Section: Related Literaturementioning

confidence: 99%

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Marabissi

Fantacci

Simoncini

2019

JSAN

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Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.

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Section: Related Literaturementioning

confidence: 99%

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Marabissi

Fantacci

Simoncini

2019

JSAN

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“…Hence, in this article we focus on the scenarios where the N26 interface is non-existent and inter-RAT HOs occur. Lastly, in our previous work [14], a new HO preparation signaling methodology alongside an evolutionary architecture has been proposed. This evolutionary architecture assists in providing a transitional approach to the operators from current day networks to the 5G networks.…”

Section: Background Studymentioning

confidence: 99%

“…Further, via the utilization of the SDN principles and intelligent message handling procedures, the proposed HO preparation signaling demonstrated latency improvement of up to 49.42% and, transmission and processing cost improvements of up to 40% and 28.57% respectively. It must be stated that, in [14] inter-RAT HO scenarios entailing mobility of user from LTE to 3G and 2G networks, and vice versa has been considered. And so, in this paper, we extend the aforesaid principles to 5G NGC and study the HO preparation phase signaling scenarios in 5G networks where an inter-RAT HO in the absence of an N26 interface occurs.…”

Section: Background Studymentioning

confidence: 99%

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Improved Handover Signaling for 5G Networks

Jain

López-Aguilera

Demirkol

2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Mobility management is a critical component for any new wireless standard to be ubiquitous. While 4G-LTE and prior wireless standards utilized vendor specific hardware and software on which mobility management (MM) functionality was implemented, recent 5G architecture releases by 3GPP indicate a complete departure from the same. 3GPP in release 14 and the upcoming release 15 has stressed upon the utilization of Software Defined Networking (SDN) and Network Function Virtualization (NFV) as the drivers of 5G technology. Consequently, new challenges related to MM and specifically handover management will be encountered owing to the inter-working setup between the 5G Next-Gen Core (NGC) and the Evolved Packet System (EPS) core. In this paper, we exploit the SDN to enhance the signaling of the HO methods proposed by 3GPP. Although the proposed approach can be applied to any HO method, in this paper we specifically evaluate the scenario wherein a dedicated interface between the Mobility Management Entity (MME) in the EPC and the Access and Mobility management Function (AMF) in the 5G NGC, i.e., N26 as specified by 3GPP, is nonexistent. Such a scenario is reasonable during the initial deployment phases of 5G networks. We show that the proposed mechanism is efficient as compared to the 3GPP handover strategy in terms of latency, transmission and processing costs.

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“…backhaul is the most cost-effective and scalable solution in Small-cell Ultra-dense Networks. In the same way, A. Jain et al in [14] present a new network entity called MME-SDN that optimizes the handover process in the next 5G networks, providing a 48.83% reduction in latency. The "Multi-Homing in Unlicensed LTE Networks" in [15] shows the Radio Access Technologies selection and resource allocation when unlicensed networks like WiFi are used.…”

Section: Introductionmentioning

confidence: 96%

A System to improve the management of 5G and IoT Networks by determining the Mobile Position

Faria

Santos

et al. 2019

J. Microw. Optoelectron. Electromagn. Appl.

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The interference in adjacent cells and the control of the boundaries have being vastly investigated since the conception of the first cell phone networks. A very large number of small cells are required for new 5G mobile networks, and therefore it is even more important to determine the correct mobile station positioning as well as the control boundaries. In order to minimize these problems, this paper proposes a simple and efficient system that improves the control of the Mobile Management Entity (MME) defined in the Release 8 of 3GPP. The system uses a tracking arrangement capable of determining the direction of the mobile station in the cell area. This information can be used to predict handover between adjacent nodes (changing of cell) minimizing a great problem, the high traffic in the backhaul network. In order to reach these goals, two or more receiver antennas are used as a Radio Direction Finder (RDF) and phase controlled directional antennas or massive multiple-input and multiple-output antennas pointing to different irradiation channels towards different directions. The theoretical section developed in this study was successfully confirmed by the experimental setup with results very closed to the developed formulation.

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Enhanced Handover Signaling through Integrated MME-SDN Controller Solution

Cited by 13 publications

References 10 publications

SDN-Based Routing for Backhauling in Ultra-Dense Networks

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Improved Handover Signaling for 5G Networks

A System to improve the management of 5G and IoT Networks by determining the Mobile Position

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