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Consistency-aware Weather Disruption-tolerant Routing in SDNbased Wireless Mesh Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-6435-106X
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-5600-3700
Ericsson AB.
Ericsson AB.
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2017 (English)In: IEEE TNSM Special Issue on Advances in Management of Softwarized NetworksArticle in journal (Other academic) Submitted
Abstract [en]

Although, wireless solutions continue to be a dominant enabling technology in the future backhaul  segment, they are susceptible to weather disturbances that may substantially degrade network throughput, or delay, compromising the 5G requirements.  These  effects  can  be  alleviated  by centralized rerouting realized by software defined networking (SDN) architecture. However, careless frequent reconfigurations may lead to inconsistencies in network states due to asynchrony between different switches, which may create  congestion and limit the gain of frequent rerouting.  In  this  paper, we focus on the rerouting process during rain disturbance considering the minimum total congestion imposed  during  the  update  of  routing  tables as a switching cost. At each time sample, the central controller has the possibility to adopt the optimal routes at a switching cost or to keep using previous routes at the expense of a throughput loss due to route sub- optimality. To find optimal solutions with minimal data loss in a static scenario, we formulate a dynamic programming problem that utilizes perfect knowledge of the rain attenuation for the whole rain period (off-line policy with full knowledge). For dynamic scenarios where the future rain attenuation data cannot be known, we propose an online consistency-aware rerouting algorithm, called optimal control action with prediction (OCAP), which uses the temporal correlation of rain fading to estimate the future rain attenuation. Simulation results on synthetic and real networks validate the efficiency of our OCAP algorithm, substantially reducing congestion and increasing network throughput with a fewer number of rerouting actions compared to benchmarks approaches.

Place, publisher, year, edition, pages
IEEE Communications Society, 2017.
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-202938OAI: oai:DiVA.org:kth-202938DiVA: diva2:1079210
Note

QCR 20170308

Available from: 2017-03-07 Created: 2017-03-07 Last updated: 2017-03-08Bibliographically approved
In thesis
1. Agile, Resilient and Cost-efficient Mobile Backhaul Networks
Open this publication in new window or tab >>Agile, Resilient and Cost-efficient Mobile Backhaul Networks
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The exponentially increasing traffic demand for mobile services requires innovative solutions in both access and backhaul segments of 5th generation (5G) mobile networks. Although, heterogeneous networks (HetNets) are a promising solution for the wireless access, the backhaul segment has received considerably less attention and falls short in meeting the stringent requirements of 5G in terms of capacity and availability.

HetNets together with mobility requirements motivate the use of microwave backhauling that supports fiber-like capacity with millimeter-wave communications. However, higher carrier frequencies are subject to weather disturbances like rain that may substantially degrade the network throughput. To mitigate this effect, we develop a fast and accurate rain detection algorithm that triggers a network-layer strategy, i.e., rerouting. The results show that with small detection error the network throughput increases while posing small overhead on the network.

The rain impact can be alleviated by centralized rerouting under the software defined networking paradigm. However, careless reconfiguration may impose inconsistency that leads to a significant temporary congestion and limits the gain of rerouting. We propose a consistency-aware rerouting framework by considering the cost of reconfiguration. At each time, the centralized controller may either take a rerouting or no-rerouting decision in order to minimize the total data loss. We use a predictive control algorithm to provide such an online sequence of decisions. Compared to the regular rerouting, our proposed approach reduces the throughput loss and substantially decreases the number of reconfigurations.

In the thesis we also study which backhaul option is the best from a techno-economic perspective. We develop a comprehensive framework to calculate the total cost of ownership of the backhaul segment and analyze the profitability in terms of cash flow and net present value. The results highlight the importance of selecting proper backhaul solution to increase profitability.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. 59 p.
Series
TRITA-ICT, 2017:06
Keyword
5G, software defined networking, rain disturbance, technoeconomic framework, network consistency.
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-202940 (URN)978-91-7729-303-3 (ISBN)
Presentation
2017-04-07, Ka-Sal C (Sal Sven-Olof Öhrvik), Electrum, Kungl Tekniska högskolan, Kistagången 16, Kista., Stockholm, 10:00 (English)
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Supervisors
Note

QC 20170308

Available from: 2017-03-08 Created: 2017-03-07 Last updated: 2017-03-13Bibliographically approved

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