Smartphones Can Assist Efficient Use of Network Resources

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12 Δεκ 2013 (πριν από 3 χρόνια και 9 μήνες)

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1

March
24, 2011

Smartphones Can Assist
Efficient Use of Network
Resources

Ömer Mubarek


Senior Member of Technical Staff

Advanced Technology, Research in Motion, Ltd.

2

Overview of Network Capacity Crunch


Average smartphone usage
doubled

in 2010.
*


Global mobile data traffic will increase
26
-
fold

between 2010
and 2015.
*


Mobile video traffic will exceed
50%

of total mobile data traffic
in 2011 reaching
two
-
thirds

by 2015.
*


Video user consumes
15 times more bandwidth
compared
to web user.
**


A high
-
def YouTube video at 2Mbps: as much bandwidth as
200 voice calls.
**


YouTube videos delivered to mobile devices
tripled

in 2010,
reaching 200 Million views per day.
*


AT&T reports
30
-
fold

growth in traffic from 3Q 2009 to 3Q
2010. Telecom Italia
15
-
fold

from 2007 to 2010.
*

Sources:
*
Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010
-

2015



**

Mobile Broadband Capacity Constraints and the Need for Optimization,
Rysavy

Research



Capacity Will Run Out Soon

Note


Data are based on an operator’s busy market

3

Source: Mobile Broadband Capacity Constraints and the Need for Optimization,
Rysavy

Research

4

Strategies


Extensive Methods


Introduction of new spectrum


New cell sites / spectrum reuse


Offloading data to WiFi and
Femtocells


New technologies which are spectrally more efficient than
current ones (
WiMax

, LTE and Evolved EDGE)


Intensive Method


Efficient use of capacity


Handsets can assist


Lower network cost


Greater number of users supported in the same amount of
spectrum


Lower monthly bills for usage
-
based models


Reduced radio resources signaling between handset and
network


RIM Infrastructure Optimizations


Utilization of highly optimized protocols and methods of compression,
trans
-
coding and rendering


Benefits for carriers from spectral efficiencies:


better capacity utilization


reduced capital expenditure requirements on wireless infrastructure,


For the end customer, spectral efficiency can result in


reduced latency,


better battery life, and


lower
-
cost data plans and roaming charges


Sample comparison results from two experiments for e
-
mail and web


5

6

E
-
Mail Efficiency

Superior text compression
algorithms


twice as efficient as common
approaches as GZIP

Efficient file viewers

user can view only portions
of the file without
downloading the whole file

0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.0
BlackBerry
Smartphone 1
Smartphone 2
UL Data Usage (KB)

UL Data Usage (KB) Comparison
-

E
-
Mail

Plain Text E-Mail
E-Mail + Image
E-Mail + Document
x8.4

x9.6

x1.7

x5.9

x1.9

x8.8

0.0
200.0
400.0
600.0
800.0
1000.0
1200.0
1400.0
1600.0
1800.0
2000.0
BlackBerry
Smartphone 1
Smartphone 2
DL Data Usage (KB)

DL Data Usage (KB) Comparison
-

E
-
Mail

Plain Text E-Mail
E-Mail + Image
E-Mail + Document
x8.3

x6.3

x1.5

x7.2

x6.2

x1.5

Comparison with
competition

Text only: up to
9.6 times

w/ Image: up to
8.8 times

w/ PDF: up to
1.9 times

7

Web Efficiency

0
1000
2000
3000
4000
5000
6000
BlackBerry
Smartphone 2
Data Usage (KB)

UL and DL Data Usage (KB) Comparison
-

Web
Browsing

UL
DL

Includes Web browsing as well as 3
rd

Party apps (
Facebook
,
Twitter, etc)


Advanced image compression algorithms: more efficient than
JPEG and
GIF image compression


Device type
-
specific trans
-
coding


Users can specify image quality


original image quality is
unnecessarily high in many cases

BB x
1.8

BB x
1.5

8

Video Trans
-
coding


Smartphone screen resolution is smaller than a monitor


If transmitted video resolution is higher than device display
resolution,
the extra bytes are wasted


Appropriate trans
-
coding adjusted to device screen improve
efficiency dramatically.


0
5
10
15
20
25
30
360p
480p
720p
1080p
BlackBerry
Curve

0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
360p
480p
720p
1080p
BlackBerry
Torch

Content designed for
PC monitor

Handheld requires only
this much for the same
user experience

Rest of the transmitted
bytes are wasted

9

Using Technology with higher
Spectral Efficiency


LTE


Infrastructure upgrade to LTE


LTE capable handsets


[Spectral Efficiency]
LTE


2 x

[Spectral Efficiency]
HSPA or EVDO


Evolved

EDGE


Increased spectral efficiency using higher order modulations


[Spectral Efficiency]
EGPRS2
-
A


1.7 x

[Spectral Efficiency]
EDGE


DL throughput further improved
-

doubled

-

by introducing a
second receiver
on the device



EDGE

EGPRS2
-
A

EGPRS2
-
A

Feature

Single Carrier

Higher Order Modulations

Downlink Single Carrier

Higher Order Modulations

Downlink Dual Carrier

Modulation

GMSK and
8PSK

UL, DL: GMSK,8PSK, 16QAM

DL: 32 QAM

UL, DL: GMSK,8PSK, 16QAM

DL: 32 QAM

Max
throughput

296 kbps

492 kbps

982 kbps


There are today > 4B GSM/EDGE users worldwide


approximately 0.5B WCDMA/HSPA users


Even in mature 3G networks it is not cost
-
effective to provide
coverage outside urban centers


EDGE/Evolved EDGE needed for low cost service continuity

10

3G/4G Network with
Complementary 2.xG Support

Purple = GSM/EDGE

Yellow = WCDMA/HSPA

Source: Map from GSMA (2009)

11

Why Does RIM Pursue Evolved
EDGE?


Seamless fallback

from 3G to 2G


Introduced in
Rel

7 of 3GPP


most recent 2G technology


Complementary to 3G


not a competitor

Evolved

EDGE

3G / 4G

Throughput

EDGE

GPRS

Seamless fallback from
3G to 2.5G

12

Summary


Network operators are working hard to increase capacity to
match highly growing demand for mobile data


Handsets can assist networks by using the available
resources more efficiently


Aggressive
compression and trans
-
coding
algorithms can
reduce network resource consumption dramatically while
delivering
same user experience
.


It is essential to use high spectral efficiency technologies both
for 4G as well as 2G


Network efficiency is further increased by reducing radio
resources signaling between handset and network.


13

THANK YOU