Transcript Evolved Packet Core

Evolving the Evolved Packet Core
Jim Johnston
CTO, Communications Convergence Processing
Mindspeed Technologies, Inc.
Mobility + Content
Innovative New Platforms
New Networked Applications
+
= Explosive demand for Mobile Broadband
Powerful Consumer Devices put Processing
Horsepower at the Edge of the Network
• High performance graphics processing
• Low power, longer battery life
• Speedy interactions between core
processor and device RAM
• HD video capture and playback
• 1080p, 30 frames-per-second video
• Dual displays (for video chat)
• Vibrant touchscreens
• External display drivers (HMDI output)
(photos courtesy of Samsung and Lenovo) Epic 4G smartphone ,Galaxy Tab (Samsung), Skylight Smartbook (Lenovo)
An Explosion in Mobile Data Traffic
Terabytes Per Month
This surge in mobile data and video coincides with:
3,600,000
• A strategic move away from separate (circuitswitched) voice and (packet-switched) data networks
1,800,000
• The migration to 4G LTE networks with an all-IP core
2009 2010 2011 2012 2013 2014
• A move towards heterogeneous networks featuring
macrocells, microcells, picocells and femtocells
Source: 2010 Cisco VNI Mobile
pictured: Samsung Seek (courtesy of Samsung Mobile)
From 2G and 3G to The Evolved Packet Core
RF
Speech codec
Equ.
PA
FEC
TDMA
Modem
D/A
A/D
A: TDM
PSTN
MSC
BSC
A-bis: TDM
BTS
TRAU
Time Slots - DSx
2G GSM – 1990s
Video processing
Security
RF
PA
Equ.
D/A
A/D
CDMA
Modem
Equ.
D/A
A/D
IP Packets
over ATM Cells / TimeSlots
Speech Codec
Mobility Mgmt.
RNC
FEC
Node B
RF
PA
MAC
MIMO
GGSN
Gateway GPRS
Support Node
QoS
IP Packet
Mobility Management
Voice band data
Media Gateway
IP Packet
Native IP Packets
FEC
MAC
eNode B
Serving GPRS
Support Node
QoS
3G W-CDMA – 2000s
Security
OFDMA
Modem
SGSN
IP Packet
Mobile
Operator Core
Network
aGW
4G LTE - 2011
Packet Switching
5
The Network: Migration to a Distributed Architecture
Macro
Micro
Pico
Metro
Urban
High-Density Subs
1200
400
200
Business Enterprise
Femto
Business
Metro
50
Femto
Residential
10
Supported Subscribers
Network designers will deploy heterogeneous networks featuring ‘small cells’
The Computational Complexities of 4G are Magnified
Evolving mobile standards will drive massively higher data rates
• Advanced baseband processing techniques
• Adaptive beam forming
• Adaptive modulation
• MIMO antenna systems
• Space Time Coding (STC)
• Digital RF processing
Why Small Cells?
Time
– Quicker to deploy; limited zoning/permissions
– Low site engineering and construction requirements
Micro
Cost
Pico
Femto
–
–
–
–
Cheaper to deploy and maintain
Lower CapEx
Lower OpEx (primarily due to reduction in lease costs)
More options for cost-effective backhaul
Efficiency
– Capacity (lots of it) --- exactly where it is needed
– Flexibility in site location
– Significant capacity gains are possible for lower TCO
Increased Capacity and Coverage
Processor Complexity in Evolved IP Networks
300x
300
million
> 900
million
< 3 million
number of
transistors
2000x
20
million
< 10,000
VoIP
1995
Source: Mindspeed Technologies
2005
Software
Complexity
lines of
code
2 million
Dial-Up Modems
Silicon
Complexity
4G Baseband
2010
Next-Generation Base Stations Must Change to
Support the (All-IP) Evolved Packet Core
•
•
•
•
•
•
•
Must be capable of delivering all standards-based
services (at full throughput)
Low end-to-end latency
Cost-effective implementations
Power efficiency
Multi-RAT (Radio Access Technology) support:
including 2G and 3G
Future-proofed support of evolving requirements
Movement towards ‘small cells’ architecture
(macro-micro-pico-femto)
Video is the Common Driver for User Equipment
and Network Upgrades
Smartphones , with 20% market share,
are responsible for over 80% of mobile
traffic usage.
Source: Informa Telecoms & Media
Almost 66 percent of the world’s mobile
data traffic will be Video by 2014.
Source: Cisco Visual Networking Index 2010