New Business Opportunities Through Evolved OSS/BSSfp7-semafour.eu/media/cms_page_media/8/SEMAFOUR... · New Business Opportunities Through Evolved OSS ... optimal radio access in

Luis M Campoy Telefónica GCTO Radio 12.10.2014

SEMAFOUR vision on unified Self-Management

New Business Opportunities Through Evolved OSS/BSS

From SON functionalities to integrated management

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Why Self-Management? 01

Wireless network traffic worldwide forecasts Analysys Mason.

4G 5G

Operators landscape

2G

3G Micros

Picos

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Operators requirement of unified Heterogeneous RAN self-management Evolving beyond 3GPP SON Standards

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3GPP

USE CASE

•  Functionalities focused on use cases (self conf., ANR, TAP&TAO,MLB,MRO) •  KPIs characterization of uses cases •  Standardization of signaling procedures and protocols for selected KPIs •  Inter RAT signaling for some use cases

Operator Policies

•  Operator level perspective, enabling a “Single Virtual RAN Management ” approach

•  Cross RAN and cross layer operator policies, driven RAN configurations for optimal radio access in each situation on an Heterogeneous RAN environment

•  Focus on inter RAN and multi SON functions Motorization and Coordination •  Resilient, adapting to unplanned and changing network and user needs, and

forecasting networks bottlenecks

OPERA TOR

SEMAFOUR SON Approach

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Targets

•  Lowering TCO by means of §  OSS/BSS Operator centric approach §  Policy based Management, providing an high level abstraction layer between

network perceived performance, and actual SON functionalities §  Closed loop Self-Management for the configuration, optimisation and failure

recovery of the network, across different RATs and cell layers §  Incorporation of a Integrated SON management system, which interfaces

between operator-defined performance objectives and the set of multi-RAT / multi-layer SON functions

•  Anticipating Network needs by means of: §  Network upgrades or new deployments should be planned just in time:

•  Not too early -> unnecesary waste of resources •  Not too late -> negative impact on QoS/QoE

§  Data mining bottleneck prevention, analysing impact on resources’ usage to detect if any network upgrade is needed

§  Simulation of different upgrade options to solve bottleneck situation

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Main OSS/BSS architecture 02

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Block Description

•  Policy-based SON Management §  Transforms operators high-level targets (business, technical, customer…) into

technical objectives, which represent targets for network Key Performance Indicators

•  Operational SON Coordination §  Detection of conflicts occurring at run-time by analysing the network configuration

and/or KPIs §  Procedures for avoiding network oscillations and instabilities due to multiple SON

functionalities based on is reinforcement learning •  Decision Support System

§  Exploit measurements from the network to assist the operator decision on: •  Strategic Network Migration or network upgrade •  Operational Network Evolution •  Determining the Resource Cost of Performance

•  Monitoring and Diagnosis §  Collection, storage, and statistical processing of network performance and

configuration data

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Bottleneck detection in DSS 03

§ Defining models relating traffic KPIs and configuration parameters to resources load

§  Applying the obtained model to traffic and configuration forecasts will enable to obtain load forecasts, and therefore to predict bottlenecks

§  The obtained models can also be used to analyse performance of different configuration options for overcoming the bottleneck situation

Conclusions and Next Steps

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Conclusions and Next Steps •  Current SON approaches trend to include SON functionalities as part of the

different RAT foreseen scenarios, aiming to reduce deployment and maintenance costs

•  A few inter RAT scenarios have been also included for 3G/4G cooperation (as energy saving) in 3GPP

•  Radio Access Networks complexity is increasing year by year, offering huge configuration parameters possibilities

•  New Users Equipment are capable of multiple RATs, and user perceived QoE will greatly depend on the inter RAT Coordination, providing the best possible radio Access in each situation

•  SEMAFOUR Project is proposing a new SON paradigm, with the focus on operators needs instead of focusing in individual RAT scenarios, wiht a multi RAT approach, offering operators an abstraction layer for managing networks at high level policies

•  The full development of high level policies and multi-RAT multi-Layer SON functions, will lead to the operator centred SON system needed to optimize TCO in 5G

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The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 316384. This presentation reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.