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Optimization ModuleProduct Brief

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Motivation

With over 70% of wireless user traffic originating from indoor environments – there is a driving need for high-quality, high-performance in-building coverage.

An optimized, economical and efficient in-building design leverages the knowledge of macro networks and plans for the indoor coverage against a pre-determined set of Grade of Service (GoS) design criteria

Optimization Module is an add-on product to the industry standard iBwave Design that meets this growing industry need.

Business Drivers

Technology Drivers

Our solution

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Product Description

Network Optimization is an add-on module to iBwave Design software

• Pre-requisite: Propagation Module

Propagation Module Network Optimization 3G/4G network design

Advanced 3D modelling of building

DAS signal level coverage prediction

Voice coverage DAS design

Coverage prediction of signal quality and data throughput

Data coverage DAS design

• Optimum DAS antenna placement

Data + voice DAS coverage design

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Product Description

Feature 1: Indoor interpolation of the macro RF signal

Feature 2: DAS data rate and signal quality maps

Feature 3: DAS Soft handoff maps

Feature 4: Optimized Antenna Placement (OAP)

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Feature 1Indoor Interpolation of the macro RF signal

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Indoor interpolation of the macro RF signal

Purpose: • To find indoor areas with weak RF coverage and/or high

RF interference Benefits:

• Determine candidate areas for DAS antennas

How to bring the macro signal indoors?Outdoor prediction mapsIndoor RF survey Macro signal approx.

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Feature 2Data Throughput rateSignal Quality

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Data Throughput coverage map

Purpose:• Quantify data throughput variations throughout the building

Benefits:• Provides RF engineers with means to design beyond “voice

coverage”• Enables RF engineers to design the DAS for the highest

available data rate

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Data Throughput coverage map (cont.)

Example: LTE network with low interfering macro signal

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Signal Quality coverage map

Purpose: • Quantify signal quality (Ec/Nt, SINR, C/I) variation throughout

the building Benefit:

• Signal quality determines maximum data throughput rate• Improving the DAS signal quality also improves the DAS data

rate coverage maps

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Signal Quality coverage map (cont.)

LTE network example (SINR)

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Feature 3Soft handoff maps

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Soft handoff maps

Purpose• To determine coverage overlap between neighboring sectors

Benefits:• Reduce soft handoff zone• Increase data throughput

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Soft handoff maps (cont.)

WCDMA network example: an NFL stadium

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Feature 4Optimal Antenna Placement

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Optimal Antenna Placement (OAP)

Purpose• OAP recommends minimum number of antennas and best

antenna locations Benefit

• Eliminates guesswork and error in the preliminary design phase

• Allows prioritization of coverage zones (“VIP” vs. “regular area” vs. “no coverage” zones)

• Optimal cost of inbuilding DAS

95% coverage

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Optimal Antenna Placement (cont.)

Example 3a: PCS HSPA+, low interfering macro signal

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Optimal Antenna Placement (cont.)

Example 3b: PCS HSPA+, high interfering macro signal

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Optimal Antenna Placement (cont.)

Example summary

Technology Macro interfer.

Freq. band # of DAS antennas

Coverage

UMTS voice Low cellular 1 > 97%

HSPA (7.2 Mbps) Low PCS 9 > 90%

HSPA High PCS 18 > 90%

HSPA+ (21 Mbps) Low PCS 12 90%

HSPA+ High PCS 19 89%

LTE (38 Mbps) Low AWS 9 > 90%

The customers have questions Optimization Module has the answersIndoor DAS or macro network? With the interpolation map of an outdoor signal, a

manager can predict with a high-level of confidence – the cost of deploying a full-fledge new indoor network versus the cost of installing minimal equipment that will enhance the quality of coverage.

Can we reuse any existing signal in the building?

How much hardware do we need?. The optimal antenna placement feature recommends the minimum number of antennas for maximum coverage and data throughput.

Which applications can be supported ?

Using the results from the output maps, business case for data applications can be built based on the expected revenues that will be generated out of a indoor network deployment.

Can I prioritize the coverage based on the applications used?

Optimize cost of deployment and improve ROI by eliminating the cost of unnecessary indoor equipment caused by “over-designing”.

How do I troubleshoot the system? Using the results from the output maps, one can predict areas of poor quality of coverage and make accurate assessments on possible origins of technical problems.

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What’s In It For The Manager?

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iBwave Solutions Inc. Corporate Headquarters7075, Robert-Joncas, Suite 95Saint-Laurent, Qc, H4M 2Z2, CanadaT + 1.514.397.0606F + 1.514.409.2499info@ibwave.com

Copyright 2009, iBwave Solutions Inc.

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Optimal Antenna Placement (OAP)

OAP steps:

Place multiple antennas (candidates) at various possible locations on the building’s floor plan;

Set the minimum signal level: RSSI and Ec/Nt (or C/I or SINR) and the minimum target coverage;

OAP processes each antenna based on the above Grade of Service (GoS) and ranks them from best to worst;

The end result identifies minimum number of antennas required to meet the given GoS.

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Optimal Antenna Placement (cont.)

Example 1: Cellular UMTS voice, low interfering macro signal

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Optimal Antenna Placement (cont.)

Example 2a: PCS HSPA, low interfering macro signal

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Optimal Antenna Placement (cont.)

Example 2b: PCS HSPA, high interfering macro signal

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Optimal Antenna Placement (cont.)

Example 4: AWS LTE, low interfering macro signal