Post on 07-Jun-2018
A revenue-aware
approach to SON
Dr Chris Murphy,
Research Director,
Location Intelligence
Self Organising Networks World
October 2016
2
The Challenge of Extreme Non-Uniformity
Time
•Ga
me
ch
an
gin
g
pe
rfo
rma
nce
&
QoE
thro
ugh
cu
sto
me
r-ce
ntr
ic S
ON
Application
Location Subscriber
2000
2500
3000
3500
4000
4500
5000
0 3 6 9 12 15
Utilis
ation
Time (min)
Putting revenue at
the heart of
optimization
decisions
Unlock latent
revenue
Controlling OPEX
while protecting
revenue
Enabling new
revenue streams
The impact of
CRAN and 5G on
SON
4
Putting Revenue at the Heart of Optimization Decisions
3G network
Target to improve:
▫ Voice drops
▫ Voice and HS Accessibility
In exchanged for degradation in:
▫ Throughput
% RAB Voice Drop Rate -0.16pp
% Voice Accessibility Unchanged
% HSDPA Accessibility +0.55pp
# CS Voice Erlangs +4.23%
HSDPA MAC Data
Throughput
-8.17%
HSDPA MAC Data Volume +8.87%
pp: percentage points
28000000
26000000
24000000
22000000
20000000
18000000
16000000
14000000
12000000
10000000
400
300
200
100
0
Duration.Seconds
Cs.D
rop
s
After
Before
Period
Scatterplot of Cs.Drops vs Duration.Seconds
Call drops per
voice seconds
reduced after
optimization.
Increase in
chargeable
Erlangs delivered
by optimization.
5
Unlocking Latent Revenue
650
750
850
950
1050
1150
1250
Throughput
75
80
85
90
95
100
Accessibility
Subscriber-
centric
optimization
Identify
exhausted
clusters
Subscriber
centric
deferred
investment
Prioritize
remaining
based on
exhaustion
Simulate and
optimize
impact of
expansion
Post
expansion
optimization
6
OPEX Saving with Revenue Protection
Electrical power invariant with even
wide variation in mobile traffic on cell
Significant energy saving only when
powering down radios
Naïve plan – coverage may be lost
Subscriber-centric plan – protects
coverage
Compensated plan – allows more
extreme savings while protecting
coverage
Calls numbers drop
dramatically overnight
Subscriber
centric energy
saving protects
coverage and
revenue.
Subscriber centric
compensation delivers
additional savings while
protecting revenue.
7
New Revenue Streams
Asset
Tracking
Smart
Grid
Smart
Meter
Smart
Lighting
Smart Manufacturing
& Robotics
Commercial
VoLTE
Public
Safety
Commercial
data
8
Network Slicing Towards the Device – Subscriber-Centric Optimization
RAN
InfrastructureCore
Infrastructure
Transport
Infrastructure
Radio
Resource
Application
Infrastructure
Commercial subscriberMassive IoT
VoLTE
Video
Other service Mission Critical subscriber
Commercial VoLTE
Other Service
Public Safety Streaming
IoT
Resource management, orchestration, SDN and SON
9
Surgical Delivery of Performance Improvement
Baseline After
Accessability 99.90% 99.92%
Accessability (VoLTE) 99.82% 99.82%
Retainability 99.44% 99.46%
Retainability (VoLTE) 97.48% 98.03%
Mean throughput 6.56 7.46
0
0.2
0.4
0.6
0.8
1
-18 -16 -14 -12 -10 -8 -6 -4 -2 0
RSRQ CDF (dB)
Baseline
After
Signal to noise ratio
shifted to the right
by optimisation
Optimisation
targeted at VoLTE
retainability
10
Drivers for subscriber-centricity – selective optimization
Connection type Example use case
Critical subscriber Improve service for first responders, mission-critical
workers
Service type Improve service for VoLTE connections, video
connections
Location Optimize connections in specific buildings, e.g.
corporate headquarters.
Route Ensure good service on specific roads
Subscription type Bespoke quality of service for corporate customer,
roamer, pre-paid, post-paid, etc
Speed More resilient connections to support subscribers in
vehicles
Device capability IoT, service tailored to those devices not able to use
other network layers
12
C-RAN reconfiguration options
CU RU
Interference
management with
Coordinated Multi
Point (CoMP)
Flexible capacity
with on-demand
small cells
Next generation
SON must optimize
fronthaul CRAN
parameters in
addition to RAN
system and physical
parameters
CU RU
CU RU
Response to
impairment
13
• Latent revenue can be unlocked
• CAPEX can be deferred or saved
• OPEX can be reduced without
impacting subscribers and
revenue.
• This can all be delivered with
subscriber-centric methods.
• Subscriber-centric optimization
enables 5G to deliver surgical
optimization of services
• Come to the Viavi stand to find out
more.
Chris Murphy
chris.murphy@viavisolutions.com http://content.rcrwireless.com/viavi_son_white_paper