An Experimental System for SON Function Coordination

Bandh, Tobias; Sanneck, Henning; Romeikat, Raphael

doi:10.1109/vetecs.2011.5956708

Cited by 26 publications

(10 citation statements)

References 3 publications

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“…III., allows to run batch of requests introduced in [8] ng an experimental functions, and a is partitioned into f PM data for one onfigurations. Two em: an antenna tilt tion (characterized parameter).…”

Section: Discussionmentioning

confidence: 99%

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Romeikat

Sanneck

Bandh

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Abstract-Self-Organizing Mobile Networks contain a potentially large number of SON function instances that need to be coordinated in order to achieve system-level operational goals. Many SON functions (and thus their coordination) will be realized in a centralized way (C-SON) due to the required integration with a (centralized) legacy OAM system. In such systems, many configuration requests ("batches") are treated in regular time intervals For SON functions, this may lead to undesired effects (monopolization by high priority functions and frequent rollbacks of configuration actions). This paper proposes a novel coordination approach combining an output buffer of pending configuration requests with dynamic priorities for different SON function types. A simulated network scenario exhibiting a specific optimization problem (closure of a coverage hole) is used to evaluate the proposed method. The method is able to avoid the undesired effects and approximate legacy workflows in network optimization while still keeping the autonomous characteristic of SON functions.

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Section: Discussionmentioning

confidence: 99%

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Romeikat

Sanneck

Bandh

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

Self Cite

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“…Examples of solutions for the self-coordination problem can be found in [6], [7]. In [6], the authors focus on a preventive coordination mechanism that uses a policy-based decision process. The proposed scheme contains a policy engine to make automated operational decisions but under the control of the operator.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Conflict Resolution in Mobile Networks: A Self-Coordination Framework Based on Non-Dominated Solutions and Machine Learning for Data Analytics [Application Notes]

Moysen

García-Lozano

Giupponi

et al. 2018

IEEE Comput. Intell. Mag.

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Self-organizing network (SON) is a well-known term used to describe an autonomous cellular network. SON functionalities aim at improving network operational tasks through the capability to configure, optimize and heal itself. However, as the deployment of independent SON functions increases, the number of dependencies between them also grows. This work proposes a tool for efficient conflict resolution based on network performance predictions. Unlike other state-of-the-art solutions, the proposed self-coordination framework guarantees the right selection of network operation even if conflicting SON functions are running in parallel. This self-coordination is based on the history of network measurements, Corresponding Author: Jessica Moysen (Email: jessica.moysen@tsc.upc.edu) which helps to optimize conflicting objectives with low computational complexity. To do this, machine learning (ML) is used to build a predictive model, and then we solve the SON conflict by optimizing more than one objective function simultaneously. Without loss of generality, we present an analysis of how the proposed scheme provides a solution to deal with the potential conflicts between two of the most important SON functions in the context of mobility, namely mobility load balancing (MLB) and mobility robustness optimization (MRO), which require the updating of the same set of handover parameters. The proposed scheme allows fast performance evaluations when the optimization is running. This is done by shifting the complexity to the creation of a prediction model that uses historical data and that allows to anticipate the network performance. The simulation results demonstrate the ability of the proposed scheme to find a compromise among conflicting actions, and show it is possible to improve the overall system throughput.

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“…Examples of centralized and distributed implementations of SON coordination are offered in [18] and [19], respectively. A preventive coordination mechanism that uses policy-based decisionmaking has been proposed in [10]. Guard functions have been proposed in [4] to detect undesirable network behaviors and trigger countermeasures.…”

Section: Related Workmentioning

confidence: 99%

“…The literature on SON mainly focuses on individual SON function design, [1][2][3] while some initial work on self-coordination functions can be found in [4][5][6] and [7] where the authors focused on the identification and classification of different conflict types. Algorithmic solutions [8,9] and implementation challenges [10] have been recently discussed in literature.…”

Section: Introductionmentioning

confidence: 99%

Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework

Moysen

Giupponi

2015

J Wireless Com Network

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We consider a distributed SON (D-SON) architecture where the interaction of different self-organizing network (SON) functions negatively affect the performances of the system. This is referred to in 3rd Generation Partnership Project (3GPP) as a SON conflict, which needs to be handled by means of a self-coordination framework. We focus on a functional architecture and a theoretical framework based on the theory of Markov decision process (MDP) for the self-coordination of different actions taken by different SON functions. In order to cope with the complexity of the overall SON problem, we subdivide the global MDP modeling the long-term evolution (LTE)-enhanced node base station (eNB) onto simpler subMDPs modeling the different SON functions. Each sub-problem is defined as a subMDP and solved independently by means of reinforcement learning (RL), and their individual policies are combined to obtain a global policy. This combined policy can execute several actions per state but can introduce policy conflicts. We focus on the specific SON conflict generated by the concurrent execution of coverage and capacity optimization (CCO) and inter-cell interference coordination (ICIC) SON functions, which may require to update the same parameter, i.e., the transmission power level. The coordination among the different actions selected by the conflicting use cases is achieved by means of a coordination game where the players are the subMDPs and the actions and rewards are those provided by means of a RL approach. Performance evaluation is carried out in a ns3 release 8 compliant LTE system simulator, and it shows that our self-coordination approach provides satisfying solutions in terms of system performances for both the conflicting SON functions.

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An Experimental System for SON Function Coordination

Cited by 26 publications

References 3 publications

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Efficient, Dynamic Coordination of Request Batches in C-SON Systems

Conflict Resolution in Mobile Networks: A Self-Coordination Framework Based on Non-Dominated Solutions and Machine Learning for Data Analytics [Application Notes]

Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework

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