A Post-Action Verification Approach for Automatic Configuration Parameter Changes in Self-Organizing Networks

Tsvetkov, Tsvetko; Nováczki, Szabolcs; Sanneck, Henning; Carle, Georg

doi:10.1007/978-3-319-16292-8_10

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…A common technique is to compute a verification area (b) Example of the coordination based CM undo approach Figure 1. CM undo scheduling problem by taking the impact area of the SON function instance whose activity is being under assessment [4]. Furthermore, areas of dense traffic, difficult environments and known trouble spots can be considered during the selection process as well [9].…”

Section: A Backgroundmentioning

confidence: 99%

“…In a previous work of ours [4], we have proposed a SON verification approach that is tightly integrated with SON coordination. We designed it as a SON function that analyzes the network performance for acknowledged action request of SON function instances.…”

Section: The Son Verification Functionmentioning

confidence: 99%

“…Environment: The SON Simulation System (S3) consists of an LTE radio network simulator, a SON Function Engine (SFE), and a SON coordinator [4]. The parameter setup of those components is outlined in Table I.…”

Section: B Simulation Basedmentioning

confidence: 99%

“…It aims at computing statistical measures on performance indicators at a relevant spatial and temporal aggregation level to assess the impact of a set of (SON-induced) CM changes. The verification process is a three step procedure comprising of (1) defining the scope, (2) running an anomaly detection algorithm, and (3) diagnosing the problem [4], [5]. During the first phase the verification area is computed which defines the set of cells that are being under assessment.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A graph coloring approach for scheduling undo actions in self-organizing networks

Tsvetkov

Sanneck

Carle

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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In a mobile Self-Organizing Network (SON) a coordinator is necessary to avoid the execution of conflicting SON function instances. Typically, such a coordinator bases its decision to accept or reject a network parameter change request on a rule set that considers only known conflicts. Moreover, it does not observe the impact of approved changes on the network. For this reason, SON verification approaches have been specified to assess the impact of deployed configuration changes and identify those that are causing an undesired network behavior. Similarly to anomaly detection techniques, a SON verification mechanism has a mathematical model that specifies how the network behavior should look like and defines any behavior that significantly deviates form the expectations as abnormal. Furthermore, the outcome is a corrective action, also called an undo action, that sets network parameters to some previous configuration.The question that often remains unanswered is how conflicting undo actions should be scheduled. A SON coordinator does not have the knowledge to resolve them and may, therefore, prevent such from being deployed. In this paper we present a scheduling approach of such undo actions that uses minimum graph coloring in order to identify the sets of cells whose configuration can be safely rolled back. Our evaluation is split in two parts. In the first part we highlight the importance of our approach by observing a real Long Term Evolution (LTE) network. The second part is based on simulation data in which we show the ability of our method to keep the performance of the network at a high level.

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Section: A Backgroundmentioning

confidence: 99%

Section: The Son Verification Functionmentioning

confidence: 99%

Section: B Simulation Basedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A graph coloring approach for scheduling undo actions in self-organizing networks

Tsvetkov

Sanneck

Carle

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…The SON verification function is based on our work outlined in [9], and has been extended with the method introduced in Section III. In order to determine whether a verification area is abnormally performing, it makes use of two metrics.…”

Section: A Son Verification Functionmentioning

confidence: 99%

A Constraint Optimization-Based Resolution of Verification Collisions in Self-Organizing Networks

Tsvetkov

Carle

Frenzel

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

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The verification of Configuration Management (CM) changes is an important step in the operation of a Self-Organizing Network (SON). In order to perform its tasks, a verification mechanism makes use of an observation and a correction time window. In the first window it assesses the impact of deployed CM changes by monitoring the network's Performance Management (PM) data. Furthermore, it partitions the network in one or more verification areas, detects anomalies within them, and generates CM undo requests, each having the purpose to set CM parameters to some previous state. In the second window it deploys those requests to the network.However, two or more verification areas might be overlapping and share anomalous cells. As a consequence, we have verification collisions preventing two or more generated CM undo requests to be deployed at same time. Thereby, the verification mechanism might not be able to deploy all generated CM undo actions for the given correction window. In this paper, we propose a method that makes use of constraint optimization techniques to identify which requests can be merged together in order to meet the time requirement. We achieve our goal by using constraint softening based on so-called performance rating values of the requests. We evaluate our method in two different scenarios. First, we highlight the need for handling verification collisions by observing CM and PM data of a real Long Term Evolution (LTE) network. Second, a simulation study shows the ability of our method to keep the network performance at a high level.

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Operational Troubleshooting-Enabled Coordination in Self-Organizing Networks

Frenzel

Tsvetkov

Sanneck³

et al. 2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A Post-Action Verification Approach for Automatic Configuration Parameter Changes in Self-Organizing Networks

Cited by 5 publications

References 5 publications

A graph coloring approach for scheduling undo actions in self-organizing networks

A graph coloring approach for scheduling undo actions in self-organizing networks

A Constraint Optimization-Based Resolution of Verification Collisions in Self-Organizing Networks

Operational Troubleshooting-Enabled Coordination in Self-Organizing Networks

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