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Semelhante a Advanced Cellular Design and Automatic Optimisation in the Small Cell Era
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Advanced Cellular Design and Automatic Optimisation in the Small Cell Era
- 1. © 2013 AIRCOM International Ltd Future of Telco Industry: Advanced Cellular Design and Automatic Optimisation in the Small Cell Era Stephen Bowker Chief Technology Office (CTO) Stephen.Bowker@AircomInternational.com
- 2. 2 © 2013 AIRCOM International Ltd AIRCOM is the largest independent provider of network planning, optimisation and OSS management software, and consultancy services to mobile networks. 17 years providing wireless expertise 14 Offices providing global support #1 in wireless planning tools and #2 in mobile performance management* Products deployed in 159 countries Independent support for all Vendors Symena acquired in 2012 Unique mix of Product and Services Investing 20% of revenue into R&D Over 850 customers including over 150 LTE customers 950 staff and 400 associates Top 20 Operators depend on AIRCOM * Analysys Mason, 2013
- 3. 3 © 2013 AIRCOM International Ltd Automatic Cell Planning & Optimisation Problem Coverage/capacity holes Traffic & revenue What & who to cover Backhaul access Cost base for Small Cells White spots How to cover them in the most cost efficient manner? ARPU map Traffic expectation, ARPU or any other valuation of income Backhaul grid Map (vector grid) for backhaul options and COST, e.g. VDSL
- 4. 4 © 2013 AIRCOM International Ltd Workflow: Capacity Driven Rollout
- 5. 5 © 2013 AIRCOM International Ltd Determine Coverage of Existing Network
- 6. 6 © 2013 AIRCOM International Ltd Geolocated users over best server
- 7. 7 © 2013 AIRCOM International Ltd Determine Search rings for Small Cell Candidates
- 8. 8 © 2013 AIRCOM International Ltd PtP PtMP LOS PtMP NLOS Fibre Backhaul evaluated as basis for selection
- 9. 9 © 2013 AIRCOM International Ltd PtP PtMP LOS PtMP NLOS Fibre Small Cell sites selected Site costs vs. capacity drive selection
- 10. 10 © 2013 AIRCOM International Ltd PtP PtMP LOS PtMP NLOS Fibre Combined coverage of new and existing cells
- 11. 11 © 2013 AIRCOM International Ltd Improved Operational Efficiency with SON Independent, Multi-vendor, Multi-technology, Centralised Self Organising Network I-VIEW SON PM, CM & site data Root cause analysis Recommend changes Validate Implement Backend Processing Use Cases Source Operators have the choice to evaluate results or automatically apply to N/W Multi RAT Multi vendor Highly scalable automated performance and configuration management Advanced Algorithms are executed co-ordinated and ranked Open & closed loop
- 12. 12 © 2013 AIRCOM International Ltd SON Case study: European Operator a a a 90% time saving +30% performance Sample area based on 2x RNC cluster of cells Top 100 Issue cells found automatically Top 15% cells fixed
- 13. 13 © 2013 AIRCOM International Ltd FUTURE: Using Self-Organising Networks (SON) to automate and predict issues, improving operational efficiency and ensuring optimal customer experience End-to-end SON is a key enabler • VIP service provisioning • Service assurance • Customer Experience Management • Data monetisation Next generation OSS / BSS Customer Experience Real-time network data Customers Real-time network behaviour Automatic predictive Automatic real-time Manual reactive Network KPI centric User KPI centric End-to-end customer experience centric Traditional optimisation Intelligent operation efficiency
- 14. 14 © 2013 AIRCOM International Ltd SOFTWARE AND SERVICES FOR IMPROVED NETWORK PERFORMANCE
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