SDN-Based Routing for Backhauling in Ultra-Dense Networks

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 network...

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Main Authors: Dania Marabissi, Romano Fantacci, Linda Simoncini
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/8/2/23
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author Dania Marabissi
Romano Fantacci
Linda Simoncini
author_facet Dania Marabissi
Romano Fantacci
Linda Simoncini
author_sort Dania Marabissi
collection DOAJ
description 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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spelling doaj.art-dc67977f117c4bd6a9119bf7c31e18df2022-12-22T01:21:55ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082019-04-01822310.3390/jsan8020023jsan8020023SDN-Based Routing for Backhauling in Ultra-Dense NetworksDania Marabissi0Romano Fantacci1Linda Simoncini2Department Information Engineering, University of Florence, 50139 Firenze FI, ItalyDepartment Information Engineering, University of Florence, 50139 Firenze FI, ItalyDepartment Information Engineering, University of Florence, 50139 Firenze FI, ItalyUltra-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.https://www.mdpi.com/2224-2708/8/2/235Gsoftware-defined networkbackhaul routingultra-dense networks
spellingShingle Dania Marabissi
Romano Fantacci
Linda Simoncini
SDN-Based Routing for Backhauling in Ultra-Dense Networks
Journal of Sensor and Actuator Networks
5G
software-defined network
backhaul routing
ultra-dense networks
title SDN-Based Routing for Backhauling in Ultra-Dense Networks
title_full SDN-Based Routing for Backhauling in Ultra-Dense Networks
title_fullStr SDN-Based Routing for Backhauling in Ultra-Dense Networks
title_full_unstemmed SDN-Based Routing for Backhauling in Ultra-Dense Networks
title_short SDN-Based Routing for Backhauling in Ultra-Dense Networks
title_sort sdn based routing for backhauling in ultra dense networks
topic 5G
software-defined network
backhaul routing
ultra-dense networks
url https://www.mdpi.com/2224-2708/8/2/23
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