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Agile, Resilient and Cost-efficient Mobile Backhaul Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-6435-106X
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. , p. 59
Series
TRITA-ICT ; 2017:06
Keywords [en]
5G, software defined networking, rain disturbance, technoeconomic framework, network consistency.
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-202940ISBN: 978-91-7729-303-3 (print)OAI: oai:DiVA.org:kth-202940DiVA, id: diva2:1079218
Presentation
2017-04-07, Ka-Sal C (Sal Sven-Olof Öhrvik), Electrum, Kungl Tekniska högskolan, Kistagången 16, Kista., Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170308

Available from: 2017-03-08 Created: 2017-03-07 Last updated: 2017-03-13Bibliographically approved
List of papers
1. Mitigation of Rain Impact on Microwave Backhaul Networks
Open this publication in new window or tab >>Mitigation of Rain Impact on Microwave Backhaul Networks
2016 (English)In: 2016 IEEE International Conference on Communications Workshops (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 134-139Conference paper, Published paper (Refereed)
Abstract [en]

Microwave backhaul networks are a cost-efficient option to support increasing capacity demands of mobile networks. However, inherent vulnerability of wireless backhauling to random fluctuations of the wireless channel complicates the design of reliable backhaul links. Long-lasting channel fluctuations such as rain fading may bring significant network performance degradation, and therefore, need to be carefully treated. This paper proposes a novel rain detection algorithm utilizing both temporal and spatial correlation of link status, aiming at efficiently distinguishing between long-term and short-term channel fading. With this distinction, a central controller decides whether network-wide strategies, such as rerouting, are required to mitigate the effects of rain. The accuracy of the proposed detection method is evaluated by measuring false alarm and misdetection probabilities. Numerical results show high rain detection accuracy of the proposed algorithm. Consequently, the impact of imperfect rain detection on the network throughput performance and on the overhead imposed to the central controller becomes negligible.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016
Series
IEEE International Conference on Communications Workshops, ISSN 2164-7038
Keywords
Rain detection, microwave backhauling, SDN, millimeter wave communications, 5G
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-196635 (URN)10.1109/ICCW.2016.7503777 (DOI)000386326800024 ()2-s2.0-84979740955 (Scopus ID)978-1-5090-0448-5 (ISBN)
Conference
IEEE International Conference on Communications Workshops (ICC), MAY 23-27, 2016, Kuala Lumpur, Malaysia
Note

QC 20161117

Available from: 2016-11-17 Created: 2016-11-17 Last updated: 2017-03-07Bibliographically approved
2. Consistency-aware Weather Disruption-tolerant Routing in SDNbased Wireless Mesh Networks
Open this publication in new window or tab >>Consistency-aware Weather Disruption-tolerant Routing in SDNbased Wireless Mesh Networks
Show others...
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:nbn:se:kth:diva-202938 (URN)
Note

QCR 20170308

Available from: 2017-03-07 Created: 2017-03-07 Last updated: 2017-03-08Bibliographically approved
3. A Techno-Economic Framework for 5G Transport Networks
Open this publication in new window or tab >>A Techno-Economic Framework for 5G Transport Networks
Show others...
2017 (English)Article in journal (Other academic) Submitted
Abstract [en]

Wireless heterogeneous networks (HetNets) are a cost- and an energy-efficient alternative to provide high capacity to end users in the future 5G communication systems. However, the transport segment of a radio access network (RAN) poses a big challenge in terms of cost and energy consumption. In fact, if not planned properly its resulting high cost might limit the benefits of using small cells and impact the revenues of mobile network operators. Therefore, it is essential to be able to properly assess the economic viability of different transport techonolgies as well as their impact on the cost and profitability of a HetNets deployment (i.e., RAN + transport).

This paper first presents a general and comprehensive techno-economic framework able to assess not only the total cost of ownership (TCO) but also the business viability of a HetNets deployment. It then applies it to the specific case study of a backhaul-based transport segment. In the evaluation work two technology options for the transport network are considered (i.e., microwave and fiber) assuming both a homogeneous (i.e., macro cells only) and a HetNet deployments. Our results demonstrate the importance of selecting the right technology and deployment strategy in order not to impact the economic benefits of a HetNet deployment. Moreover, the results also reveal that a deployment solution with the lowest TCO does not always lead to the highest profit.  

National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-202939 (URN)
Note

QCR 20170308

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

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