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A revenue-aware approach to SON Dr Chris Murphy, Research Director, Location Intelligence Self Organising Networks World October 2016
Transcript

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

3

Subscriber Centric Data – a Basis for Optimization

Pilot Pollution

Ec/Io

RSCP

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

11

RAN Evolution

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

[email protected] http://content.rcrwireless.com/viavi_son_white_paper


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