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.