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Small Cell Wireless Backhaul Reconfiguration Using Software-Defined Networking
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Computer Networking, DISCO)ORCID-id: 0000-0002-4961-5087
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Computer Networking, DISCO)ORCID-id: 0000-0002-9446-8143
2017 (Engelska)Ingår i: Wireless Communications and Networking Conference (WCNC), 2017 IEEE, IEEE, 2017Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In order to increase the capacity of next generation mobile networks, network densification is a key aspect to provide better coverage and increased data rates to end users. Network operators are thinking to deploy wireless backhaul solutions to cut down cabling costs for connecting the small cell nodes. Consequently, the next generation mobile network architecture may contain a massive amount of small cells that are connected through wireless backhaul links, forming mesh or tree structures towards the core network, under the umbrella coverage of eNodeB type macro cells. In this paper, we use a Software-Defined Networking (SDN) based architecture for the operation and management of such small cell backhaul networks. By extending OpenFlow, the SDN controller is able to reconfigure not only the routing, but also the wireless backhaul configuration, such as channel assignment to backhaul links. We demonstrate the effectiveness of our approach by using testbed measurements and show that, when using our SDN-based reconfiguration, the network downtime for existing traffic due to channel re-assignment is significantly reduced, when comparing to a distributed routing based approach. Moreover, by using SDN based fast-failover techniques, we can instantaneously redirect traffic to other neighbors when links fail or neighbors are powered down, without the need for controller interaction.

Ort, förlag, år, upplaga, sidor
IEEE, 2017.
Serie
IEEE Wireless Communications and Networking Conference : Proceedings, E-ISSN 1558-2612
Nyckelord [en]
SDN, wireless backhaul, small cell networks, 5G
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-64532DOI: 10.1109/WCNC.2017.7925943ISI: 000403137600460ISBN: 978-1-5090-4184-8 (tryckt)ISBN: 978-1-5090-4183-1 (digital)OAI: oai:DiVA.org:kau-64532DiVA, id: diva2:1149148
Konferens
Wireless Communications and Networking Conference (WCNC), 2017 IEEE, 19-22 March 2017, San Francisco, CA, USA
Projekt
SOCRA
Forskningsfinansiär
KK-stiftelsen, 4840Tillgänglig från: 2017-10-13 Skapad: 2017-10-13 Senast uppdaterad: 2020-01-13Bibliografiskt granskad
Ingår i avhandling
1. 5G Backhauling with Software-defined Wireless Mesh Networks
Öppna denna publikation i ny flik eller fönster >>5G Backhauling with Software-defined Wireless Mesh Networks
2018 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Current technological advances have caused an exponential growth of the number of mobile Internet-connected devices, along with their respective traffic demands. To cope with this increase of traffic demands, fifth generation (5G) network architectures will need to provide multi-gigabit capacity at the access base stations (BSs), through the deployment of ultra-dense small cells (SCs) operating with millimeter-wave (mmWave) frequencies, e.g. 60 GHz. To connect the BSs to the core network, a robust and high capacity backhaul infrastructure is required. As it is unfeasible to connect all the SCs through optical fiber links, a solution for the future 5G backhaul relies on the usage of mmWave frequencies to interconnect the SCs, forming multi-hop wireless mesh topologies. In this thesis, we explore the application of the Software-defined Networking (SDN) paradigm for the management of a SC wireless backhaul. With SDN, the data and control planes are separated and the network management is done by a centralized controller entity that has a global network view. To that end, we provide multiple contributions. Firstly, we provide an SDN-based architecture to manage SC backhaul networks, which include an out-of-band Long Term Evolution (LTE) control channel and where we consider aspects such as energy efficiency, resiliency and flexible backhaul operation. Secondly, we demonstrate the benefit of the wireless backhaul configuration using the SDN controller, which can be used to improve the wireless resource allocation and provide resiliency mechanisms in the network. Finally, we investigate how a SC mesh backhaul can be optimally reconfigured between different topologies, focusing on minimizing the network disruption during the reconfiguration.

Abstract [en]

The growth of mobile devices, along with their traffic demands, is expected to saturate the current mobile networks soon. To cope with such demand increase, fifth generation (5G) network architectures will need to provide multi-gigabit capacity at the access level, through the deployment of a massive amount of ultra-dense small cells (SCs). To connect the access and core networks, a robust and high capacity backhaul is required. To that end, mmWave links that operate at e.g. 60 GHz, can be used to interconnect the SCs, forming multi-hop wireless mesh topologies.

 

In this thesis, we study the application of the Software-defined Networking (SDN) paradigm for the management of a SC wireless backhaul. Firstly, we provide an SDN-based architecture to manage SC backhaul networks, which includes an out-of-band control channel and where we consider aspects such as energy efficiency, resiliency and flexible backhaul operation. Secondly, we show the benefits of the wireless backhaul configuration using the SDN controller, which can be used to improve the wireless resource allocation and provide network resiliency. Finally, we investigate how a SC mesh backhaul can be optimally reconfigured between different topologies, while minimizing the network disruption during the reconfiguration.

Ort, förlag, år, upplaga, sidor
Karlstad: Karlstads universitet, 2018. s. 95
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:44
Nyckelord
SDN, wireless backhaul, heterogeneous networks, mmWave, 5G, resiliency
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-69437 (URN)978-91-7063-881-7 (ISBN)978-91-7063-976-0 (ISBN)
Presentation
2018-10-22, 09:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2018-10-26 Skapad: 2018-10-02 Senast uppdaterad: 2018-10-26Bibliografiskt granskad
2. Towards Resilient and Reconfigurable Software-defined Wireless Backhaul Networks
Öppna denna publikation i ny flik eller fönster >>Towards Resilient and Reconfigurable Software-defined Wireless Backhaul Networks
2020 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The increase of mobile devices and services over the last decade has led to unprecedented mobile traffic growth. To cope with the increasing demands, fifth generation (5G) network architectures have been designed to provide the required capacity using a large number of small cells (SCs). However, a dense deployment of SCs requires a robust and scalable backhaul to transport the access traffic towards the Internet. In this thesis, we explore the application of the Software-defined Networking (SDN) paradigm for the management of a wireless backhaul. With SDN, the data and control planes are separated and the network is managed by a centralized entity. To that end, we provide multiple contributions that focus on achieving resilient and reconfigurable wireless backhaul networks. Firstly, we propose an SDN-based architecture to manage the wireless backhaul. Our architecture is integrated in practical testbed environments, where we use an SDN controller to configure the forwarding plane and wireless backhaul links. Secondly, we evaluate SDN-based resiliency in the wireless backhaul. We achieve that by implementing fast-failover resiliency with OpenFlow group tables and by using the bidirectional-forwarding detection protocol (BFD) to monitor the state of the backhaul links. Finally, we develop algorithms that calculate the necessary reconfiguration operations to transition between different wireless backhaul topologies, while minimizing the impact on existing user traffic. We consider that the backhaul nodes can be powered on/off and are equipped with steerable antennas that can be aligned to form links with different neighbors. Our optimization problems are modeled as mixed integer linear programs (MILP) that are optimally solved using exact mathematical programming methods. In addition, we develop greedy-based heuristic algorithms that solve the same problems and obtain good quality solutions in short time.

Abstract [en]

The increase of mobile devices and services over the last decade has led to unprecedented mobile traffic growth. To cope with the increasing demands, fifth generation (5G) network architectures have been designed to provide the required capacity using a large number of small cells (SCs). However, a dense deployment of SCs requires a robust and scalable backhaul to transport the access traffic towards the Internet.

In this thesis, we explore the application of the Software-defined Networking (SDN) paradigm for the management of a wireless backhaul. To that end, we provide multiple contributions that focus on achieving resilient and reconfigurable wireless backhaul networks. Firstly, we propose an SDN-based architecture to manage the wireless backhaul. Our architecture is integrated in practical testbed environments, where we use an SDN controller to configure the forwarding plane and wireless backhaul links. Secondly, we evaluate SDN-based fast-failover resiliency in the wireless backhaul. Finally, we develop several algorithms that orchestrate different backhaul reconfiguration operations with minimal impact on existing user traffic.

Ort, förlag, år, upplaga, sidor
Karlstad: Karlstads universitet, 2020. s. 42
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2020:9
Nyckelord
5G, heterogeneous networks, mmWave, resiliency, SDN, wireless backhaul
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-76286 (URN)978-91-7867-092-5 (ISBN)978-91-7867-102-1 (ISBN)
Disputation
2020-03-06, 21A342, Karlstad, 09:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2020-02-14 Skapad: 2020-01-13 Senast uppdaterad: 2020-02-14Bibliografiskt granskad

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