LTE World Summit 2012 Cttc panel how-can-wireless-networks-be-optimised


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LTE World Summit Barcelona May 2012

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LTE World Summit 2012 Cttc panel how-can-wireless-networks-be-optimised

  1. 1. Panel Discussion How can WirelessNetworks be Best Optimized?Mischa DohlerJosep ManguesChristian IbarsNicola BaldoAlbert Sitjà Thursday 24th May 2012 1
  2. 2. Corporate presentation 1/4 2
  3. 3. Corporate presentation 2/4 3
  4. 4. Corporate presentation 3/4 4
  5. 5. Corporate presentation 4/4 5
  6. 6. 4G projects and beyond 6
  7. 7. Questions to introduce speakersPanel Discussion How can Wireless Networks be Best Optimized?• What is the best way to support the high capacity densities and high throughputs per user of next generation networks? Mischa Döhler• How will femtocell technologies accelerate the cost-effective provision of ubiquitous broadband? Josep Mangues• What are the technical challenges for LTE to become the leading technology in the M2M market? Christian Ibars• Which tools can be used for the design and development of Self Organized Network solutions? Nicola Baldo 7
  8. 8. 10 Times Beyond LTE-A Business Case, Technologies, ChallengesMischa DohlerHead of [IQe] @ CTTCBarcelona, SpainLTE Panel Discussion24 May 2012
  9. 9. IMT-Advanced versus Reality IMT-A capacity targets [ITU-R M.2133]: • 2.2b/s/Hz for downlink and 1.4b/s/Hz for uplink in urban deployment • supported rate is thus maximal 100Mbps/km2 (500m cell size; 40MHz) Capacity needs (reality check): • peak density of 8,000 people/Km2 • of which only 10% subscribe to the broadband service • of which only 20% require access at the same time City Average People/Km2 • each requiring 5Mbps Athens 5,400 Madrid 5,200 London 5,100 Barcelona 4,850 Warsaw 4,300 Naples 4,100 8,000 X 10% X 20% X 5Mbps = 800 Mbps/Km2 Berlin 3,750 Paris 3,550 Vienna 3,400 9
  10. 10. Air Interface versus Architecture Increase in capacity over past decades: • Martin Cooper: doubled every 30 months over past 100 years • overall: million-fold increase in capacity since 1957 Breakdown of these gains: • 5 x PHY; 25 x spectrum; 1600 x reduced cells, 5 x rest Reduced Cells MHz Breakdown of (estimated) cost: Reduced Cells MHz PHY 10
  11. 11. 1Gbps/km2 Architecture [2/2] Cost-efficient mixture of L/LE/60GHz wireless technologies: 11
  12. 12. 1Gbps/km2 Simulation Results 40 MHz bandwidth & 4 beams achieve 1Gbps/km2 capacity density: 8 7 6 5 4 12
  13. 13. From Theory to Prototyping ALVARION’s SISO & CTTC’s MIMO Access BSs: 13
  14. 14. From Prototyping to Standards ETSI TC BRAN, TR 101 534: • Alvarion, CTTC, Polska Telefonia Cyfrowa, Siklu, Thales • "Very high capacity density BWA networks; System architecture, economic model and technical requirements“ • Standard document approved in Q1 2012 14
  15. 15. From Standards to Practice Tel Aviv live deployments in April 2012: 15
  16. 16. Concluding Remarks Operator’s capacity challenge today and for next years:  capacity requirements are far off reality  except for order-of-magnitude PHY, rather work on architecture  infrastructure cost is major driver since ROI margins tighten  management becomes major problem, SON is a must 1Gbps/Km2 architecture with the following properties...  … LTE(-A) & WiMAX-agnostic architecture  ... anytime and everywhere in urban environments  … cost-efficient to operators, service providers, users  … spectrally efficient using both licensed and exempt bands  ... autonomous operation facilitating deploy & forget experience 16
  17. 17. On broadband evolved femtocellnetwork deployment challengesJosep Mangues-BafalluyIP Technologies Area coordinatorCentre Tecnològic de Telecomunicacions de Catalunya (CTTC)
  18. 18. BeFEMTO System Architecture BeFEMTO System Architecture BeFEMTO EPS Architecture 3GPP EPS ArchitectureLFGW Node HeNB NodeArchitecture Architecture Fixed Broadband Access Architecture (e.g. TISPAN or BBF) BeFEMTOTransport Architecture Broadband evolved FEMTO Networks INFSO-ICT-248523 18
  19. 19. All-wireless Network of Femtocells• Fast deployment of femtocells • Application: conference halls, shopping malls, airports, stadiums ... • Multi-hop wireless communication to gateway towards the core. 19
  20. 20. Wireless small cell backhauls Ratio of forwarded packets Ratio of forwarded packets Ratio of forwarded packets• Adaptive traffic load balancing for efficient wireless resource consumption based on network conditions 20
  21. 21. SON in networks of femtocells • Local location management Small TAs for slow Larger TAs for and static UEs medium-to-fast UEs Stage 1 Stage 2 Stage 3 Stage 4 • IP flow management policies in HetNets • Self-organized Radio Resource Management • Machine learning-based power allocation• Real-time FPGA-based prototyping of a Femto-cell interference management scheme • Multi-user LTE-based PHY-layer implementation 21
  22. 22. Technical Challenges forViable M2M Systems over LTEChristian IbarsAccess Technologies Coordinator – CTTC
  23. 23. Evolving Toward M2M • M2M represents largest growth opportunity for LTE • LTE will eventually replace 2G solutions leading the market • LTE is primarily designed for human data communications • LTE M2M solution will • Be based on new technical solutions • Require new business models • Compete and complement with other access technologies (WSN, Satellite, other WAN standards) Application Middleware Network Modem Asset ServerThe CTTC is actively pursuing new solutions for M2M systemsover LTE within the European Integrated Project EXALTED 23
  24. 24. Technical ChallengesHeterogeneous application requirementsHeterogeneous terminal capabilityCoverageEnergy constraintsShort messagesHigh scalabilitySecurity for critical applications 24
  25. 25. Technical SolutionsSegmentation of M2M services High end: based primarily on LTE modems Low end: new technologies to reduce cost Efficient and robust device management significantly protocols Distributed security algorithmsSmall packet access Random Access over data channel HARQ, collective ACK Energy efficient terminals Aggressive duty cycle Reduced bandwidth Reduced signaling for low mobility terminals Coverage extension through Energy harvesting Improved link budget Offloading to local network Relaying and capillary extensions Physical layer redesign – lower ACM 25 modes
  26. 26. LTE M2M Architecture 26
  27. 27. The LENA project:an open source product-oriented LTE/EPC Network Simulator Nicola Baldo
  28. 28. Design & development strategies for Self Organized Network Algorithms• Simulation  Fast & cheap prototyping  Scalable and repeatable experiments  abstract models, sometimes far from reality  hard to bring the design to product stage• Testbed  Realistic evaluation  Easier to bring the design to product stage  Expensive and time consuming  Poor scalability and reproducibilityCan we get the best of both? 28
  29. 29. The LENA project: an open source product-oriented LTE/EPC Network Simulator• CTTC is working with Ubiquisys on the development of LENA, a simulation platform for LTE/EPC• Objective: allow LTE femto/macro cell vendors to design and test SONs algorithms before deployment 29
  30. 30. The LENA project:an open source product-orientedLTE/EPC Network Simulator • Product-oriented: • designed around the Small Cell Forum MAC Scheduler API Specification • Allows testing real code in simulation • Accurate model of the LTE/EPC protocol stack • Specific Channel and PHY layer models for LTE macro and small cells • Open source: • Development open to the community • Free and open source licensing (GPLv2) • Fosters early adoption and contributions • Makes model more trustable 30
  31. 31. The LENA project:an open source product-orientedLTE/EPC Network Simulator Possible target applications for LENA include: • DL & UL Scheduler design • Radio Resource Management Algorithm design • Inter-cell interference coordination • Heterogeneous networks (HetNets) • Joint Radio and Backhaul Network Management • End-to-end QoE evaluation • Multi-RAT networks • Cognitive LTE systems 31
  32. 32. Thanks for your kind attention!• Questions?Mischa Dohler Mangues Ibars Baldo Sitjà 32