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Impact of Correlated Failures on Design and Reliability Performance of Wireless Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS. (Optical Network Lab)ORCID iD: 0000-0001-6435-106X
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS. (Optical Network Lab)ORCID iD: 0000-0001-5600-3700
Corporate Research, Robert Bosch GmbH, Germany.
Ericsson AB.
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(English)Manuscript (preprint) (Other (popular science, discussion, etc.))
Abstract [en]

Design of reliable wireless backhaul networks is challenging due to the inherent vulnerability of wireless backhauling to random fluctuations of the wireless channel, such as those caused by rain. Considerable studies deal with modifying and designing the network topology to meet the reliability requirements in a cost-efficient manner. However, these studies ignore the correlation among link failures, particularly those caused by weather disturbances. Consequently, the resulting topology designs may fail to meet the network reliability requirements under correlated failure scenarios. To fill this gap, we study the design of cost-efficient and reliable wireless backhaul networks under correlated failures with a focus on rain disturbances. We first propose a new model to consider the pairwise correlation among links along a path. The model is verified on real data, indicating an approximation closer to reality than the existing independent model. Second, we model the correlation among different paths by defining a penalty cost. Considering the newly formalized link and path correlation, we formulate the network topology design problem as a quadratic integer program to find the optimal solutions. As the problem is shown to be NP-hard, two lightweight heuristic algorithms are developed to find near-optimal solutions in a reasonable time. Performance evaluation shows that correlation aware design substantially improves the resiliency under rain disturbances at a slightly increased cost compared to independent failure approaches.

Keywords [en]
5G, reliability, topology design, correlated failures, rain disturbance.
National Category
Engineering and Technology
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-244596OAI: oai:DiVA.org:kth-244596DiVA, id: diva2:1291089
Note

QC 20190226

Available from: 2019-02-22 Created: 2019-02-22 Last updated: 2019-02-26Bibliographically approved
In thesis
1. Agile, Resilient and Cost-efficient Mobile Backhaul Networks: Fundamentals of Network Design and Adaptation
Open this publication in new window or tab >>Agile, Resilient and Cost-efficient Mobile Backhaul Networks: Fundamentals of Network Design and Adaptation
2019 (English)Doctoral 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. Whilst substantial research efforts address the access segment, the backhaul part has received less attention and still falls short in meeting the stringent requirements of 5G in terms of capacity and availability.

Ease of deployment and cost efficiency motivate the use of microwave backhauling that supports fiber-like capacity with millimeter-wave communications. However, these carrier frequencies are subject to weather disturbances like rain that may substantially degrade the network throughput and availability performance. To meet the stringent 5G requirements, in this thesis we develop a complete framework for network design and online adaptation in the presence of weather-based disruptions.

For topology design, we investigate the trade-off between the path diversity and link budget to meet the high availability requirements. We propose several efficient algorithms for joint optimization of cost and power to satisfy the availability, differential delay and data rate requirements. The results show that joint optimization of link budget and cost leads to more power-efficient solutions. Moreover, we characterize the correlation among failure events and incorporate its impact in the topology design problem. Performance evaluation results verify that considering correlation increases the network robustness under weather-based failures.

For network adaption, we develop a fast and accurate rain detection algorithm that triggers a network-layer strategy, e.g., rerouting. The rain impact can be alleviated by regular rerouting using a centralized approach realized by software defined networking (SDN) paradigm. However, careless reconfiguration may impose inconsistency due to asynchrony between different switches, which leads to a significant temporary congestion and limits the gain of rerouting. To address this, we propose a consistency-aware rerouting framework that considers the cost of reconfiguration. At each time slot, the centralized controller may either take a rerouting decision to increase the network throughput while accepting the switching cost, or choose not to reroute at the expense of a decreased throughput due to route sub-optimality. We use a model predictive control algorithm to provide an online sequence of decision policies to minimize the total data loss. Compared to regular rerouting, our proposed approach reduces the throughput loss and substantially decreases the number of reconfigurations.

In the thesis, we also study which backhaul options are the best from a techno-economic perspective. Fiber-based solutions provide high data rates with robust connectivity under different weather conditions, whereas wireless solutions offer high mobility at low installation costs with lower data rate and availability. 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 evaluation results highlight the importance of selecting proper backhaul solution to increase profitability.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2019. p. 90
Series
TRITA-EECS-AVL ; 2019:17
Keywords
5G, topology design and control, software defined networking, rain disturbance, techno-economic framework, network consistency.
National Category
Engineering and Technology
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-244611 (URN)978-91-7873-106-0 (ISBN)
Public defence
2019-03-18, Ka-Sal A (Sal Östen Mäkitalo), Electrum, Kungl Tekniska högskolan, Kistagången 16, Kista., Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20190226

Available from: 2019-02-26 Created: 2019-02-22 Last updated: 2019-02-26Bibliographically approved

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