NDLI: SON Coordination for parameter conflict resolution: A reinforcement learning framework

Content Provider	IEEE Xplore Digital Library
Author	Iacoboaiea, O. Sayrac, B. Ben Jemaa, S. Bianchi, P.
Copyright Year	2014
Description	Author affiliation: Telecom ParisTech, Paris, France (Bianchi, P.) \|\| Orange Labs., Issy-les-Moulineaux, France (Iacoboaiea, O.; Sayrac, B.; Ben Jemaa, S.)
Abstract	Self Organizing Network (SON) functions are meant to automate the network tuning, providing responses to the network state evolution. An instance of a SON function can run on one cell (distributed architecture) or can be built to govern a cluster of cells (centralized/hybrid architecture). From the operator point of view, SON functions are seen as black boxes. Several independent instances of one or multiple SON functions running in parallel are likely to generate conflicts and unstable network behavior. At a higher level, the SON-COordinator (SONCO) seeks to solve these conflicts. This paper addresses the design of a SONCO. We focus on coordinating two distributed SON functions: Mobility Load Balancing (MLB) and Mobility Robustness Optimization (MRO). Thus on each cell we will have an MLB and an MRO instance. The MLB instances will tune the Cell Individual Offset (CIO) parameter and the MRO instances will tune the HandOver (HO) Hysteresis parameter together with the CIO parameter. The task of the SONCO is to solve the conflicts that will appear on the CIO parameter. We propose a Reinforcement Learning (RL) framework as it offers the possibility to improve the decisions based on past experiences. We outline the tradeoff between configurations through numeric results.
Starting Page	196
Ending Page	201
File Size	446253
Page Count	6
File Format	PDF
ISBN	9781479930869
DOI	10.1109/WCNCW.2014.6934885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-06
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MLB Conferences Coordination Reinforcement learning Self-organizing networks MRO Optimization Tuning TD SON SON instances Computer architecture Learning (artificial intelligence) LTE Hysteresis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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