THE IN-BUILDING WIRELESS STANDARDTHE IN-BUILDING WIRELESS STANDARDWIRELESS STANDARDWIRELESS STANDARD

Vladan Jevremovic, Research Director @v_jevremovic

WLPC Conference Budapest 2016

Factors affecting capacity dimensioning

Granularity RF propagation User profilep Capacity zones

C ll l & WiFi Cellular & WiFi

Example

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Example

QoS of applications running QoS types: voice, video, best effort, background Voice and video are less packet jitter and packet delay tolerant than file transfer # VoIP clients per AP # video clients per AP # BE clients per AP…

Venue type Manufacturing (Voice intensive) Stadium (Data intensive) Hospital (Voice, Data, RTL) Etc…

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Number of streams per UE Power consumption affects the number of streams Smart phones (one stream) Tablets (2 streams) Laptops (3 streams)

User density Low (manufacturing) Medium (office) Dense (Hospital)

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Ultra dense (Stadium)

802.11 technology overhead 802.11 a/b/g have throughput ~ 50% listed maximum data rate 802.11 n & ac ~ 80% listed max data rate

AP density Closely spaced APs may increase CCI, especially at 2.4 GHz CCI th h t t d hi h i i ti CCI causes throughput to drop, which increases airtime usage

Available airtime

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50-80% depending on environment (stadium, campus, warehouse…)

A floorplan often consists of multiple RF propagation environments They need to be identified and accounted for to accurately predict throughout They need to be identified and accounted for to accurately predict throughout

Inclined surface

Dense area

Open area

Semi Open area

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3D view of signal distribution is necessary for a multi - level building

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2D CCI prediction 3D CCI prediction

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Most clients run variety of application over a longer period of time

It is important to specify Period of activity, (1, 2, 3… hours) Applications likely to be used (Email, browsing, file transfer…) The quantity (Number of emails, web page visits, number of files…) File size (in MB) per unity

These specifications are often referred to as “user profile” Different verticals have different user profiles

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Different verticals have different user profiles Office environment VS. Stadium VS. Hospital…

Most venues have non-uniform client distribution Example: a hotel has different client density in Example: a hotel has different client density in

Hotel rooms Conference rooms At ti d k/b kf t At reception desk/breakfast area

These areas may also have different usage pattern In a hotel room, a client mostly runs SD and HD videos At reception desk, web browsing In conference rooms, emails and file transfer

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A lot of venues have a mix of small cells/DAS and AP Some cellular carriers offload their traffic to partner WiFi providers Some cellular carriers offload their traffic to partner WiFi providers The offloading mechanism may vary

Offload by application type (voice vs. video. vs. data) Offload by signal KPI threshold Offload by cell load threshold

Some customers are on cellular network, some on WiFi Percentage breakdown of cellular and WiFi customers need to be specified This is done in each capacity zone

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This is done in each capacity zone

In the near future, LTE and 802.11 may share 5 GHz spectrum

If approved, spectrum sharing may affect the existing 5 GHz networks

LTE/802.11 coexistence mechanism may affect Throughput Capacity Capacity

Dimensioning for both @ 5 GHz may become necessity in the near f

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future

CABLEROUTING

FULL DATABASEOF PARTS

3D DESIGN &INCLINE

PROVENRESULTS IN

ACTIVE &PASSIVEROUTING

CAPTUREDOF PARTS(22,000+)

INCLINE SURFACES

RESULTS INHIGH‐DENSITY

VENUES

PASSIVE SURVEY

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Three level Holiday Inn hotel with open pool

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