This document discusses how to maximize the efficiency of benchmarking mobile networks and delivering optimal customer experience. It recommends taking a customer-centric approach using active testing and monitoring in addition to passive monitoring to identify issues before customers and reduce troubleshooting time. Active monitoring from probes can provide network statistics, traces, and user experience metrics to help operators efficiently manage network capacity and customer experience on complex 4G networks experiencing high traffic growth.
3. 3
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Today’s Mobile Services’ Trend
4. LTE Asia 2015 - How to Maximize Benchmarking Efficiency and Deliver Optimal Customer Experience 4
MOBILE DEVICES TRAFFIC IMPACT:
105% CRGA 2013-2018
MOBILE DATA TRAFFIC:
52% WILL BE
OFFLOADED
FROM MOBILE
DEVICES
BY 2018
51% WILL BE Via
4G network
BY 2018
Smart phones and
video apps are the
main drivers of the
4G eco-system
5. LTE Asia 2015 - How to Maximize Benchmarking Efficiency and Deliver Optimal Customer Experience 5
Mobile Video
Services and
Applications
75%
ACCOUNTS FOR
IN MOBILE
DATA CONSUMPTION
7. 7
Voice
POLQA (ITU-T P.863)
Parametric (non-intrusive)
Solutions
P.120x.x (ITU standard ) – PD/RTP,
x=1,2
P.NATS (on going ITU work) – DASH
3rd parties (e.g. VQMon support for PD
and adaptive HTTP/TCP)
Solutions
J.343.x, x=1-6
(TCP based)
3rd parties PEVQ-S
2
3
IP transport/payload parameters of Video packet streams
POLQA (ITU-T P.863)
Voice
Solutions
P.120x.x (ITU standard ) – PD/RTP,
x=1,2
P.NATS (on going ITU work) –
DASH
3rd parties (e.g. VQMon support for
PD and adaptive HTTP/TCP)
IP transport/payload parameters of Video packet streams
Parametric (non-intrusive)
2
HOW CAN WE
TEST AND
BENCHMARK THE
NETWORK
LIKE A REAL
USER?
3
Solutions
J.343.x, x=1-6
(TCP based)
3rd parties PEVQ-S
9. KPI
QoS
QoE
Application Layer
(integrity, accessibility,
retainability)
Upper Layers (IP/UDP,
IP/TCP)
(throughput, delay,
Layer 2&3(MAC, RLC, LLC
(messaging reports related to
QoE dimensions e.g. PDP
context, HO info, codec
usage)
Physical layer
(e.g. coverage,
interference)
SUBSCRIBERS’ PERCEPTION
Relationship between QoE, QoS, KPIs
Customer
Experience
Network
Performance
10. 10
QoE QoS/SLA
Service availability (anywhere)
Service accessibility (anytime)
Service retainability
(continuity of service connection)
Ratio: of covered/not covered area (%)
Ratio of refused connections;
blocked call rate (%)
Service access time Average call or session setup time(s)
Service interruption or completion
ratio, drop call rate (%)
Service reliability
(% of satisfied subscribers)
SUBSCRIBERS’ PERCEPTION
Relationship between QoE, QoS, KPIs
11. SUBSCRIBERS’ PERCEPTION
Relationship between QoE, QoS, KPIs
11
QoE QoS/SLA
Service integrity
(Quality of Session/Call)
- Mean Opinion Score -
Average bearer bit rate achieved as ratio
of bit rate demand by application (%)
Bearer stability: Bit rate variation
around negotiated bit rate (%)
Average throughput toward mobile (kb/s)
Average end-to-end delay (ms/s)
Delay variation/jitter (%)
12. 12
SUBSCRIBERS’ PERCEPTION
AT THE CORE OF MOBILE NETWORKS
SUBSCRIBERS: Focus on their perceived
experience with offered network quality and services
SMART DEVICES
CHANGED HOW
USER PERCEIVE &
HOW TO USE MOBILE
NW & SERVICES
13. LTE Asia 2015 - How to Maximize Benchmarking Efficiency and Deliver Optimal Customer Experience
Improve
OPERATIONAL EFFICIENCY
(Coverage/Interference control)
Build
NETWORK
CAPACITY
(capacity management and
optimization)
Manage
CUSTOMER
EXPERIENCE
Multi RAT
Multi core
IMS**
RCS*/
Mobile Cloud
*IP Multimedia Subsystem
**Rich Communication Suite
13
OPERATORS: Cost efficiently manage/control complex
4G networks while coping with high traffic growth
SUBSCRIBERS’ PERCEPTION
AT THE CORE OF MOBILE NETWORKS
15. 15
PASSIVE MONITORING SERVICE AVAILABILITY AND QUALITY
6 Subscriber databases4
10 Network Elements2
3 Network Centres3
1 Call – Service Availability and Quality
Money
Time
Resources
When this approach is applied to multiple services for all subscribers for real
time visibility, significant money, time and resource capacity would be
required.
Return >
28 Network Interfaces1
16. 16
CUSTOMER CENTRIC APPROACH
ACTIVE TESTING AND MONITORING
Probes
Network Stats and Traces
CDRs
Logs
Passive Monitoring
Active Monitoring
Customer Complains
User Experience
DPI (Deep Packet Inspection)
TDF (Traffic Detection Function)
Performance Self
Reporting
Node Stats
Find issues before customer do
and reduce MTTR (>60%) with Root Cause of Failure analysis
The evolution of 3g to 4G, resulted in the development of many services: for example, FROM VOICE and DATA TO VIDEO TELEPHONY, MMS, VIDEO STRAMING, MOBILE TV, GAMING became possible, since 4G network provides low latencies and high stable throughputs, ALLOWED phone vendors and application developers to deploy smart phones.
Subscribers focus on their perceived experience with offered service (e.g. voice, mobile video, gaming), and
operators need to cost efficiently manage and control complex 4G networks while coping with high traffic growth
The wireless operators’ problem at its core:
4G ecosystem deployments allow very high data rate apps efficiently delivered to a broad range of devices. This raises subscriber expectations for fixed-line-like service experience (where mobility is not an excuse). This is fundamentally driving the capacity (QoS) crunch inside the network. Therefore: operators face a continuous struggle to maintain high QoE with continual capacity constraints due to spectrum and cost limits.
Subscribers focus on their perceived experience with offered service (e.g. voice, mobile video, gaming), and
operators need to cost efficiently manage and control complex 4G networks while coping with high traffic growth
Subscribers focus on their perceived experience with offered service (e.g. voice, mobile video, gaming), and
operators need to cost efficiently manage and control complex 4G networks while coping with high traffic growth
The wireless operators’ problem at its core:
4G ecosystem deployments allow very high data rate apps efficiently delivered to a broad range of devices. This raises subscriber expectations for fixed-line-like service experience (where mobility is not an excuse). This is fundamentally driving the capacity (QoS) crunch inside the network. Therefore: operators face a continuous struggle to maintain high QoE with continual capacity constraints due to spectrum and cost limits.
Subscribers focus on their perceived experience with offered service (e.g. voice, mobile video, gaming), and
operators need to cost efficiently manage and control complex 4G networks while coping with high traffic growth
Subscribers focus on their perceived experience with offered service (e.g. voice, mobile video, gaming), and
operators need to cost efficiently manage and control complex 4G networks while coping with high traffic growth
The wireless operators’ problem at its core:
4G ecosystem deployments allow very high data rate apps efficiently delivered to a broad range of devices. This raises subscriber expectations for fixed-line-like service experience (where mobility is not an excuse). This is fundamentally driving the capacity (QoS) crunch inside the network. Therefore: operators face a continuous struggle to maintain high QoE with continual capacity constraints due to spectrum and cost limits.