Disruptive Analysis - Offload

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    Identifying the congestion culprits &

    thinking sensibly about offload

    Berlin, 15th June 2011

    [email protected]

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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?

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    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

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    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

    [email protected]

    +44 (0) 7941 100016

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