New Business Opportunities Through Evolved OSS/BSS. SEMAFOUR vision on unified Self-Management

Transcription

1 New Business Opportunities Through Evolved OSS/BSS SEMAFOUR vision on unified Self-Management Luis M Campoy Radio

2 01 From SON functionalities to integrated management

3 01 Why Self-Management? Operators landscape Picos 5G 4G 3G 2G Micros Wireless network traffic worldwide forecasts Analysys Mason. 3

4 01 Operators requirement of unified Heterogeneous RAN self-management Evolving beyond 3GPP SON Standards 3 G P P 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 O P E R A T O R 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 4

5 02 SEMAFOUR SON Approach

6 02 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 6

7 02 Main OSS/BSS architecture 7

8 02 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 8

9 03 Bottleneck detection in DSS 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 9

10 03 Conclusions and Next Steps

11 03 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 11

12 The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/ ) under grant agreement n 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.