Planning and Executing a Flexible Coverage Plan Bernard Breton Director, Wireless Development Northwood Technologies Inc.

Wireless Telecom Software Solutions Presentation Plan Present a simple process for LMDS network planning using a demand-centric approach –Traffic modeling using GIS tools –Network planning Perform multi-stage deployment while retaining quality of service for all users –Planning defensively to reduce the likelihood of service disruption Conclusion

Wireless Telecom Software Solutions Market Forecasting Objective –To predict the required radio resources for a given market Tasks to achieve –Review available spatial information –Define the role of each information source on the required radio resources –Create a formula that relates the different sources of information

Wireless Telecom Software Solutions Review of Available Information… High-resolution (1m) canopy height digital elevation model

Wireless Telecom Software Solutions Review of Available Information… The same … in 3D !

Wireless Telecom Software Solutions Review of Available Information … Building footprint (vector information)

Wireless Telecom Software Solutions Review of Available Information… Low-resolution (30m) bare-earth digital elevation model

Wireless Telecom Software Solutions Review of Available Information Low-resolution (30m, 15-class) land classification data

Wireless Telecom Software Solutions Targeting a Market Example is built for an LMDS service provider –Concepts also apply to MMDS providers although the targeted market would likely be different (e.g., SOHO) Targeted Market –large and medium-size businesses

Wireless Telecom Software Solutions How to use the Information? Digital elevation models (canopy and bare-earth) –The building height can be extracted by subtracting the bare- earth elevation from the canopy height DEM –The building height can be used to calculate the number of floors in a building –Demand is proportional to building height Building footprint –The number of offices per floor can be approximated using the building footprint (i.e., area) –Demand is proportional to building footprint

Wireless Telecom Software Solutions Deciding How to Use the Information Land classification data –The demand per office can be weighted from the clutter information Terrain class Demand during working day After-hour demand Urban classesHighVery low Residential classesVery lowMedium IndustrialMediumLow VillageLowMedium CommercialLow

Wireless Telecom Software Solutions Processing the Information All the information is spatial, the use of a GIS will make the task simple –Enables the definition of equations/queries to relate spatially enabled information –Can process vector and raster information seamlessly

Wireless Telecom Software Solutions Step 1 : Building Height Calculation RASTER (1m)RASTER (30m)RASTER (1m) A raster data calculator is used to calculate the building height

Wireless Telecom Software Solutions Step 2 : Building Footprint Area Calculation

Wireless Telecom Software Solutions Step 3 : Targeting the Large Footprints Only Selected Discarded

Wireless Telecom Software Solutions Step 4 : Extracting the Building Height

Wireless Telecom Software Solutions Step 5 : Calculating the Number of Users

Wireless Telecom Software Solutions Step 6 : Calculating the Demand for Each Building Depends on the land classification and scenario Each building can have as many demands as there are scenarios Working hours Transiting After hour Etc.

Wireless Telecom Software Solutions Final Traffic Model The total mean demand for each building is expressed in mbit/s

Wireless Telecom Software Solutions Final Traffic Model Working-day traffic model for Ottawa

Wireless Telecom Software Solutions LMDS Network Planning Coverage factors –Uplink and downlink interference –Time division duplexing (TDD) –Dual polarization –Rain attenuation –Built traffic model Coverage objective –To ensure highest penetration rate

Wireless Telecom Software Solutions Service Coverage Map Detailed Analysis Overall System Coverage (red = coverage)

Wireless Telecom Software Solutions Service Coverage Map – Zoom In Detailed rooftop coverage analysis

Wireless Telecom Software Solutions Per-Building Service Coverage Simplified way of looking at LMDS service coverage

Wireless Telecom Software Solutions Coverage Statistics for Planned Area Total possible demand –429.9 mbit/s Total served demand –367.5 mbit/s (85.5 %) Total targeted buildings –1539 buildings Total served buildings –1166 buildings (75.8 %)

Wireless Telecom Software Solutions Cell Loading Cell loading expressed in % of total available capacity

Wireless Telecom Software Solutions Cell Loading

Wireless Telecom Software Solutions Polarization

Best Serving Transmitter Based on C/(N+I)

Wireless Telecom Software Solutions Multi-Stage Deployment Any change to the network configuration can affect the current users –The objective is therefore to be proactive in ensuring that there will be either no service disruption or a planned service disruption –That can be performed in (at least) two different ways: 1.Planning based on a multi-year demand forecast where future phases are taken into account at every phase 2.Performing queries on current subscriber base as part of the regular planning process (i.e., defensive planning)

Wireless Telecom Software Solutions Multi-year Demand Forecasting Year Expected Demand (mbit/s) Number of Hubs Plan based on future demand; deploy based on current demand

Wireless Telecom Software Solutions Multi-year Demand Forecasting Pros Allows for a very smooth transition between phases Can be used to provide accurate capital expenditure information Cons Can slow down the first phase deployment (i.e., initial roll-out) Its gain is very dependent on the accuracy of the forecast

Wireless Telecom Software Solutions Defensive Planning Plan based on future demand; deploy based on current demand No change Throughput reduction Service disruption Legend

Wireless Telecom Software Solutions Defensive Planning Pros Can minimize the changes required at the subscriber end Can be used to predict the service disruption or throughput degradation of current subscribers Cons Will likely produce networks for which load-balancing between hubs is not optimal This technique is expensive (e.g., subscriber end changes) if not used along with forward-looking planning

Wireless Telecom Software Solutions Conclusion Demand Forecasting –GIS-enabled planning tools can help in planning a better network –A simple process can be used to leverage the value of commonly available information Forward-looking Planning –Multi-year network planning and operation demands that operators perform forward-looking planning –Due to inprecision in forecast, defensive planning is required as well

Thank You!