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1. Innovation Technology for
Future Convergence Network
KRnet 2013 Keynote Speech
Jinsung Choi, Ph.D.
EVP, Head of ICT R&D Division, SK Telecom

2. Contents
I. Key Trends Driving Network Evolution
II. Innovation Technologies for Future Convergence Networks
- Software & Cloud-based Network Architecture
1
- SUPER Cell
III. Conclusion

3. 1. Mobile & ConnectedI. Key Trends Driving Network Evolution
1. Mobile & Connected
- Exploding data traffic growth originated from increased devices and LTE commercialization
LTE promising wider data transmission bandwidthMore devices always connected to N/W
The number of connected devices per person will be
3 times more in 4 years
Mobile Data Traffic by Device
More traffic induced by LTE user than by 3G users
3
Monthly Data Traffic per User
2
Source: Cisco VNI Mobile, 2012
Other portable devices (2.2%)
M2M (4.7%)
Home Gateways (4.8%)
Non-smartphones (5.7%)
Tablets (10.0%)
Laptops & Netbooks (24.2%)
Smartphones (48.3%)
2011 2012 2013 2014 2015 2016
5 Exa Byte/Month
10 Exa Byte/Month
Source: SKT Internal
‘10 ‘11 ‘12 ‘13
1
2
3
3G
4G/LTE
[Giga Byte/Month]
Year

4. 2. Multimedia ContentsI. Key Trends Driving Network Evolution
2. Multimedia Contents
- Both demand and supply of multimedia contents are ever growing, mainly induced by
LTE introduction and the emergence of contents platforms such as YouTube and Netflix
Data Service Usage PatternVideo is major internet traffic
51% Video Traffic, 23% Web Traffic (2010) More multimedia traffic in LTE than 3G
VIDEOOTHERS
3% Sep. 2012
3
1990
VIDEO
Peer-to-Peer
WEB
2000
FTP
OTHERS
NewsgroupDNS
Telnet Email
51%
23%
23%
2010
3G (WCDMA)
Multimedia
(30%)
Web
(40%)
App. Market
(10%)
SNS
(7%)
Etc.
(12%)
Multimedia
(38%)
Web
(33%)
App. Market
(11%)
SNS
(7%)
Etc.
(11%)
4G/LTE
Source: SKT InternalSource: CISCO based on CAIDA publication

5. 3. Computing EvolutionI. Key Trends Driving Network Evolution
3. Computing Evolution
- Applications of IT Infra techniques are being extended with the help of processor cost
down and evolution of computing technologies
Computing TechnologiesProcessor cost diminishes
Processor cost halving time: 1.1 year
Virtualization
Distributed Processing
Cloud Management
4
Cloud Management
Open API
Security
MapReduce
HDFS
Crawler
Visualization
Parallel Computing
In-memory Computing

6. Mobile & Connected
Multimedia Contents
Software & Cloud-based
Network Architecture
Key Innovation TechnologiesI. Key Trends Driving Network Evolution
• Always connected smart devices
• High bandwidth LTE/LTE-A
• M2M/IoT
【 Key Trends 】 【 Key Tech 】
5
Computing Evolution
Network Architecture
• Mobile IPTV services
• Video streaming
• UCC sharing
• Cloud infrastructure and services
• Analytics/Big Data
• Personalized services
SUPER Cell for
Beyond LTE-A/5G Network

7. II-1. Software & Cloud-based Network SDN/NFV
SDN and NFV allow to design and manage networks having potential to increase operator
agility, to reduce cost, and to disrupt the vendor landscape
Encourages innovationInnovative
“Open Innovation Platform” “Lower cost, raise efficiency and increase agility”
Virtualized Network Functions
DPI CDN
WAN Accelerator
PE Router P-GW/S-GW
CG-NAT
Network Function Virtualization (NFV)Software Defined Network (SDN)
6
Encourages innovation
and competiveness
among 3rd
Parties
CapEx/OpEx saving
Data Plane
Control Plane
Innovative
Network Apps
from 3rd
Parties
Open Standards
Firewall WAN Accelerator CG-NAT
Standard/High-Volume Servers
Standard/High-Volume Storage
Standard/High-Volume Switches
Orchestrated,
Automatic & Remote Install

8. II-1. Software & Cloud-based Network To-Be Image
Migration to more efficient, agile, intelligent, but economic mobile network by exploiting
disruptive future network technologies: SDN, N/W Virtualization, Cloud
“Vendor-specific Hardware,
Low Scalability,
Simple Policy-based Operation”
“Virtualized,
Service-Oriented and
Flexible Network”
Orchestrator
SDN/Cloud Controller
Analytics
Platform
Software & Cloud based NetworkLegacy Network
7
RU#1
RU#2
RU#N
#1
#2
#N
Internet
EPC DPI Video
Opt.
CDN
Access Network Core Network
DU Pool (A-SCAN)
RU#1
RU#2
RU#N
Internet
DU #N
DU #1
DU #2
S/W
IMS
EPC
Video Opt.
DPI
CDN
TCP Opt.
S/W
SDN/Cloud ControllerPlatform
Analytics-based Control
GPP, Standard H/W
Virtualized/Cloudified
Web Accel.
PCRF

9. II-1. Software & Cloud-based Network Use Case 1): Dynamic Service Chaining
SDN Network
To-BeAs-Is
SDN Use Case: Dynamic service chaining enables a highly scalable and cost-efficient
network structure
Low Scalability
- Most traffic passes through every service node every
time Large CAPEX/OPEX
Low Flexibility
- Manual & static policy control & enforcement
More efficient N/W Operation & Time-to-market
- Per-subscriber, per-application, per device differentiated data
services
8
Gi Service Network
Device InternetEPC
SDN Network
Device Internet
On Context A
On Context C
EPC
On Context B
SDN
Controller
Dedicated appliances performing
specific network functions
Virtualized network functions
running on standard H/W
- Manual & static policy control & enforcement
- Lack of flexibility and agility

10. Monitoring for Network Control & BillingSeamless Subscriber Mobility
II-1. Software & Cloud-based Network
Use Case 2): Seamless Subscriber Mobility
Use Case 3): Monitoring Network Control & Billing
Innovator’s Dream: SDN is capable of providing logically centralized control plane and
common control protocol
SDN provides centralized and common control
protocol working across different technologies
- e.g. 3G, LTE, WiMax and Wi-Fi
Packet handling rules in SDN switches can efficiently
monitor traffic at different level of granularity
- Per-subscriber/per-service statistics are collected easily at
each SDN switch
- Enable real-time control and billing
9
- Enable real-time control and billing
SDN
Controller
N-generation
network
N+1-generation
network
eNB 1
eNB 2
SDN Switch

11. MME
HSS
PCRF
S1-MME
S6a
DPI?
? ?
II-1. Software & Cloud-based Network SDN Requirement
For the integration with mobile networks, 3GPP-compliancy, subscriber-awareness, service-
awareness and controllability are required
10
UE
MME PCRF
Internet
Evolved Packet Core
eNB
RAN
S1-U
SDN
Controller
S/P-GW
Control Plane
S11 Gx
S-GW
Data Plane
SGiP-GW
Data Plane
SDN Protocol

12. 10 G
100 G
.11ac
.11ad 5G
II-2. SUPER Cell Motivation
5G has gained lots of attention for future radio access on developing LTE/LTE-A tech.
Target
- 100Gbps maximum cell capacity (1000 times larger than LTE)
- 1000 times lower energy consumption
- 1000 times higher capacity for connected devices
111995 1995 2005 2010 2015 Year
100 k
1 M
10 M
100 M
1 G
GSM
CDMA
WCDMA
HSDPA
LTE
LTE
Advanced
Cellular
802.11
.11b
.11g .11a
.11n
.11ac
Wireless LAN
4G
3G
2G

13. Vision
Smart
• Mobility/capacity enhanced by control/data separation
Unified
Smart
• Mobility/capacity enhanced by control/data separation
UnifiedEnergy Efficient
Performance Optimized
【 SUPER Cell Vision】
SUPER Cell is the SKT’s future network architecture combined of key elements from efficient
radio resource utilization, smart cell-split, and new frequency bands
II-2. SUPER Cell
12
Unified
• Cloud architecture in heterogeneous network
Performance Optimized
• Dynamic interference coordination and management
Energy Efficient
• Green architecture and functions for power saving
Reconfigurable
• N/W operation mode changes interworking with SON
Unified
• Cloud architecture in heterogeneous network
Performance Optimized
• Dynamic interference coordination and management
Energy Efficient
• Green architecture and functions for power saving
Reconfigurable
• N/W operation mode changes interworking with SON
Unified RAN
(Cloud and Heterogeneous)
Energy Efficient
(Power Saving)
Reconfigurable
(Adaptive Management)
MobilitySupport
High Rate Support
Smart (Hierarchical Scheduling)
SON: Self-Organizing Network, RAN: Radio Access Network

14. 100 times capacity enhancement and 10 times cost reduction compared to current LTE N/W
【 100x Capacity Enhancement】 【 10x Cost Down】
100×××× Capacity↑ 10×××× Cost↓
TargetII-2. SUPER Cell
13
f1
Freq.
f2 fn
…
foffload
UE#1
UE#2 UE#3
Massive
MIMO
Small Cell
MC TD-LTE Wi-Fi
Analytics
ServerSON
Optimization
MIMO: Multiple Input Multiple Output, UE: User Element
1. Higher Radio
Resource Efficiency
2. More Cell
Splitting
3. More Frequency
Bands
4. Lower
Operation Cost

15. III. Conclusion
- To come up with mobile data traffic explosion, SK Telecom has developed future
convergence smart networks enforced by
1) SDN/NFV
2) SUPER Cell
- R&D collaboration among university, industry and research organization is
indispensible for global leadership and the successful development of future
14
indispensible for global leadership and the successful development of future
convergence networks
[SUPER Cell demonstration in MWC2013]