This document discusses 5G network rollout and microwave backhaul solutions. It notes that 5G NR deployment will have varying spectrum and capacity needs depending on the location. Microwave backhaul can support both traditional interfaces like S1/X2 as well as new interfaces like F1, and can complement fiber for C-RAN. The E-band and 32GHz band will be important for backhaul as other bands transition to 5G NR access. Integrated access and backhaul is discussed as a way to enable dense mmWave deployment without additional transport infrastructure, though microwave backhaul provides higher capacity and longer distances. The document examines methods for achieving 10Gbps capacities and uses of machine learning to help manage microwave networks.

1. Ericsson Microwave
Outlook
December 2018

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. 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. 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. 2018-12-11 | Public | Page 5
5Gtransporttowards2025

6. 2018-12-11 | Public | Page 6
Globalbackhaulmediadistribution

7. 2018-12-11 | Public | Page 7
Comparing10GbpssolutionsinGermany

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. 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. 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. 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. 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. 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. 2018-12-11 | Public | Page 14
Howtoreach10Gbps

15. 2018-12-11 | Public | Page 15
Capacityvschannelwidthandnumberof
channels

16. 2018-12-11 | Public | Page 16
E-bandthroughtheeyesofanoperator

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. 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. 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. 2018-12-11 | Public | Page 20
MI is used to leverage
the skills of microwave
planners and
engineers.
Automaticdetection–temporylineof
sightblocking