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Ericsson Microwave Outlook 2018

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With 5G bringing in new possibilities for operators across the globe, a higher capacity microwave backhaul becomes even more important to ensure high-quality mobile broadband. This year’s Ericsson Microwave Outlook report discusses how this demand can be met with advanced microwave technology, spectrum, combination with fiber, and machine intelligence.

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Ericsson Microwave Outlook 2018

  1. 1. Ericsson Microwave Outlook December 2018
  2. 2. 2018-12-11 | Public | Page 2 E-band through the eyes of an operator Integrated Access and Backhaul in 5G NR Winning backhaul strategy How can 10Gbps be reached everywhere? Future capacity requirements How machine intelligence is helping to manage networks Trends in spectrum ReportContent Ericsson Microwave Outlook 2018 edition
  3. 3. 2018-12-11 | Public | Page 3 — 5G NR deployed to meet specific needs at each location using different amounts of — radio access spectrum — advanced radio features — Variations in required backhaul capacity will increase when deploying 5G NR BackhaulcapacitypersiteinDRAN
  4. 4. 2018-12-11 | Public | Page 4 — Microwave is not only useful for traditional backhaul interfaces such as — S1/X2 in LTE — NG/Xn in 5G NR — It will be equally applicable for — F1 interface of 5G NR VRAN — And a complement to fiber for — CPRI/eCPRI interface of 5G NR C-RAN Transportdimensioning
  5. 5. 2018-12-11 | Public | Page 5 5Gtransporttowards2025
  6. 6. 2018-12-11 | Public | Page 6 Globalbackhaulmediadistribution
  7. 7. 2018-12-11 | Public | Page 7 Comparing10GbpssolutionsinGermany
  8. 8. 2018-12-11 | Public | Page 8 The E-band and 32GHz band will grow in importance for backhaul, while a few other bands will eventually be transitioned to 5G NR access use 5GNRaccessandbackhaulspectrum
  9. 9. 2018-12-11 | Public | Page 9 5GNRinformerbackhaulspectrum — Large regional and national differences — The use of E-band is increasing — Transition of backhaul from 5G NR bands has started
  10. 10. 2018-12-11 | Public | Page 10 — Opportunities for a more efficient use of spectrum — Multi-band booster concept enable more efficient use of diverse backhaul spectrum assets — Frequency bands below 10GHz are sparsely deployed – sharing potential for radio access Backhaulspectrumuse–UKexample
  11. 11. 2018-12-11 | Public | Page 11 Enable fast, flexible and very dense deployment of mmWave radio access sites at street level, without the need for a denser transport network 3GPP Release 16 5GNRIABdeploymentscenario
  12. 12. 2018-12-11 | Public | Page 12 Topologies with a limited number of aggregated relay nodes and few hops are expected to be most common. 5GNRIABcharacteristicstoconsider
  13. 13. 2018-12-11 | Public | Page 13 Microwave backhaul advantages — high capacity without using valuable access spectrum — a latency less than one-tenth of a single IAB hop — hop distance of more than five times that of IAB, with optional higher-gain antennas. IAB advantages — Part of the 5G NR Radio Access Network: — automatically established backhaul — no additional equipment needed, when the backhaul direction is within the access sector — backhaul for limited line-of-sight path, but at a reduced distance. IABandMicrowavebackhaulare complementary
  14. 14. 2018-12-11 | Public | Page 14 Howtoreach10Gbps
  15. 15. 2018-12-11 | Public | Page 15 Capacityvschannelwidthandnumberof channels
  16. 16. 2018-12-11 | Public | Page 16 E-bandthroughtheeyesofanoperator
  17. 17. 2018-12-11 | Public | Page 17 In the early phase of roll-out, seasonal traffic trends and low precipitation zones were taken into consideration. YearlyA1Hrvatskanetworktraffic analytics
  18. 18. 2018-12-11 | Public | Page 18 Majority of multi-band links achieved the performance targets, with the E-band layer ensuring high capacity during the majority of operational time, and the lower band ensuring enough capacity available for service-critical traffic at any given time. E-bandavailabilityperformance
  19. 19. 2018-12-11 | Public | Page 19 MIidentifiessignalfadeeventsin microwavenetworks Machine intelligence are used to leverage the skills of microwave planners and engineers. Common microwave network fading events are fed into a telco knowledge graph and used to train machine learning algorithms to automatically recognize events in a live network
  20. 20. 2018-12-11 | Public | Page 20 MI is used to leverage the skills of microwave planners and engineers. Automaticdetection–temporylineof sightblocking

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