Disruptive Analysis - Offload
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Transcript of Disruptive Analysis - Offload
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Identifying the congestion culprits &
thinking sensibly about offload
Berlin, 15th June 2011
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Copyright Disruptive Analysis Ltd 2011Jun 2011
Introduction
Disruptive Analysis: analyst house & strategic consulting firm,focused on mobile technology & operator business models
Covered pico/femtocells since 2001, WiFi/cellular since 2003
Blog at disruptivewireless.blogspot.com @disruptivedean
Affiliated with Telco 2.0 Initiative, Martin Geddes & others
Thought leadership: Discussion of Mobile Data Offload since 2008
Early identification of losing technologies, eg RCS
, UMA, NFC
Coined the term Happy Pipe for profitable broadband strategies
Coined the term Under the Floor Player for infrastructure-led threats
Future of Voice masterclasses June 30th & July 14th
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Congestion? Whats the problem, exactly?
Copyright Disruptive Analysis Ltd 2011Jun 2011
A) Specific devices? B) Specific users?
F) Specific apps?D) Specific times? E) Specific locations?
C) Specific traffic types?
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The answer:
G)All of the above, and more besides
. so lets move beyond the soundbites
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Going beyond the scissors diagram
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Need for more
sophisticated metrics: uplink vs. downlink signalling traffic busy cell / busy hour device & user application / use-case
Time
IndexMobile broadband
traffic
Revenue
Oversimplified response:
Lower cost/MB needed
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Not all video connections are the same
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Source: Mu Dynamics
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Video content needs curation not blind policy
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Offload? Throttle?Compress? Transcode?
Transrate? Delay?
Telemedicine
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Guilty: Angry Birds advertising on Android
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(via NSN Smart Labs)
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Mobile broadband traffic management options
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Local offload
(WiFi / Femto)Transport / core
offload
Core
Policy-based
traffic-shaping
Compression,
optimisation &
transcoding
Internet
Macro radio
network
upgrades &
optimisation
Device-based
solutions
Caches
/ CDNs
CongestionAPIs &
monitoring
Tuning TCP/IP &
contention mgmt
X.Y.Z
Offload often easier than application-specific policy
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Cost per GB? The gold standard metric for mobile data?
But Gigabytes are not all created equal
The basis for pricing & business models?
3GB for 20 on the revenue side? Easy-ish to understand
Justification for new Capex & spectrum purchases?
Single-number analysis risks poor decision-making
But maybe it is broadlyaccurate enough?
Is it the least worstmetric?
Regulators seem to use this approach for simplicity
Copyright Disruptive Analysis Ltd 2011Jun 2011
New & richer metrics needed but not an easy task
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WiFis: dual personalities
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Service-provider WiFi
Remember that WiFi = catchy name for WLAN . If you dontunderstand LANs generally, you will fail in Wireless LANs
Owned WiFi
ANDSF
I-WLAN
UMA
Hotspot 2.0EAP-SIM
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Seamlessness: some things never change.
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The best-tailored products
have seams for a reason
5 years ago: UMA fails
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Be wary of WiFi offload statistics
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3G Data
3G Data
ExtraElastic
WiFi
PrivateWiFi
PrivateWiFi
WiFi
offload
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Towards a congestion API & notifications
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Operator
Sorry, network
is congested.
1. Schedulelater, $rebate
2. Pay $ forpremium
3. Continueanyway
4. Offload
Sorry, network
is congested.
1. Alert user2. Pay $ for
prioritydelivery
3. Partner
with us!4. Opt-in
optimising
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Outstanding problems / oppos for offload
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Complex
connection
management
scenarios
Managing VoIP &
MNO services in
offload scenarios
Mix of handset
types &
purchase
channels
Getting the
standards right
esp. for private
WiFi
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Conclusions Identifying realcongestion culprits needs better analytics
Tonnage is a broad indicator of network-unfriendliness.
but maybe not enough to satisfy regulators & users
Signalling is a real, complex, multi-layered issue
Offload solves most of these problems.
but may create new ones (eg with VoIP / VoLTE QoE)
Operators MUST NOT over-reach in attempting to control WiFi
Increased focus with on-device clients & CMs is critical Work with video content specialists not againstthem
New business models needed maybe insurance-style?
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www.disruptive-analysis.com
disruptivewireless.blogspot.com
@disruptivedean
+44 (0) 7941 100016
Copyright Disruptive Analysis Ltd 2011Jun 2011