University of Colorado – 2500MHz WiMAX RF Plan

Airspan RF Planning

January 2011V1.1

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WiMAX 16e – MacroMAXe RF Inputs

DTM / Clutter 5 Meter Resolution Heights and ClutterPropagation Model CRC Predict 4.x deterministic; MODEL IS NOT CALIBRATEDFrequency Band 2500 MHzRF Channels 10 MHz Channel BW, 3 Channels Duplexing Method TDDBase Station Type MacroMAXe 3.6GHzBase Station Tx Power 40 dBm at antenna port; 43 dBm Combined Tx PowerBase Station Sectorization Multi-sector using 90-deg external antennaBase Station Tx Height As specified in specs.Base Station Antenna Type, Gain 90-deg AW3008 2.5GHz T4, 17dBiBase Station Antenna Downtilt 4-deg Electrical; 1 to 4-deg MechanicalAdvanced Radio/Antenna Techniques DL MIMO (2TX/2RX) and UL MRC (1TX/4RX)CPE Type 1, Tx Power, Ant Ht, Ant Type, Gain, Environment MiMAX-Easy, 27dBm, 3m AGL, Omni-external, 3dBi, Mobile Outdoor - On Vehicle

Planning Tool MP Planet 5.2

Site Count 3 BSSector Count 5 Sectors

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DTM Layer

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Clutter Layer

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Network Layout

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Frequency Plan

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Frequency and Preamble PlanSite Sector Channel ID Preamble Downlink Perm Base Uplink Perm Base

Darley Twr 1 WimaxTddBand_3 73 0 2Engg 1 WimaxTddBand_2 77 2 0Engg 2 WimaxTddBand_3 74 1 1Gamow Twr 1 WimaxTddBand_1 75 3 4Gamow Twr 2 WimaxTddBand_2 76 4 3

Channel No. Channel ID

Center Frequency

(MHz)Bandwidth

(MHz)

1 WimaxTddBand_1 2508.500 10

2 WimaxTddBand_2 2518.500 10

3 WimaxTddBand_3 2528.500 10

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BS and Sector Details

Site Sector Longitude Latitude Antenna Type Height (m) Azimuth Mechanical TiltDarley Twr 1 -105.2520861 39.99828894 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz 47 350 4Engg 1 -105.2633401 40.00728204 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz 44 120 2Engg 2 -105.2633401 40.00728204 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz 44 240 2Gamow Twr 1 -105.2678048 40.00815396 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz 42 90 1Gamow Twr 2 -105.267805 40.008154 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz 42 250 2

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Network Analysis Layers Description

• Best Server Signal Strength - This layer provides the downlink signal strength expressed in dBm for the best serving sector and for the chosen subscriber equipment. The best server is determined from the best signal CNIR of the preamble signal.

• Best Server - This layer provides the downlink coverage area for the sector with the best preamble signal CNIR.

• Downlink MCS - This layer provides information on the downlink modulation that has the highest spectral efficiency, i.e., the modulation that provides the highest useful bits per symbol ratio and where the coverage probability is above the defined target cell edge coverage probability.

• Uplink MCS - This layer provides information about the best uplink modulation that offers the highest spectral efficiency, i.e., the modulation that provides the highest useful bits per symbol ratio. This layer only uses a fraction of all available sub-channels to illustrate uplink UL MCS coverage.

• Downlink C/(N+I) - This layer provides the downlink C/(N+I) value of the best channel where C is computed based on the data or traffic power.

• Uplink C/(N+I) - This layer provides the uplink C/(N+I) value of the best channel where C is computed based on the data or traffic power.

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NETWORK ANALYSIS PLOTS

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Best Server Signal Strength

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Best Serving Sector

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Downlink MCS

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Uplink MCS

UL – 10 Subchannels

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Downlink C/(N+I)

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Uplink C/(N+I)

UL – 10 Subchannels

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BS Sector Antenna

90-deg AW3008 2500MHz Fixed 4-deg Tilt

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RF Plan Notes: Propagation Modelling

• Propagation models simulate how radio waves travel through the environment from one point to another. Because of the complex nature of propagation modelling and the great amount of information needed to perform an accurate estimation of path loss, there will always be differences between the path loss estimation of a model and real-world measurements. Nevertheless, some models are inherently more accurate than others in specific situations, and it is always possible to refine a model (or its understanding of the environment) so that it better matches the real world. There are several things that can be done in order to minimize discrepancies between the propagation model and the real world, including choosing an appropriate model and calibrating it effectively.

• This study uses the CRC-Predict 4.x propagation model. CRC-Predict is the most widely used propagation model in the suite of radio-wave prediction algorithms available in Mentum Planet. Originally developed by the Communications Research Centre (Ottawa, Canada), CRC-Predict is now developed by Mentum. Some traditional approaches to radio-wave propagation are empirical in nature and begin with the collection of real-world measurements, fitting them to curves and then applying the curves to similar geographic areas. The limitation of these approaches is that they cannot take into account the infinite variety of landscapes that can occur. In contrast, CRC-Predict is a deterministic model based on Physical Optics, a form of wave theory. Predictions are based on a detailed simulation of diffraction over terrain (including clutter), and include an estimate of local clutter attenuation. As a result, predictions of coverage gaps and interference areas are based specifically on the particular terrain in question and are more likely to be accurate, given that the terrain and clutter data are accurate.

• Drive-test measurements are still required for reliable planning, but their use is more a matter of compensating for the incompleteness/inaccuracy of clutter data and adjustment of the model’s clutter property assignments to increase accuracy. This is called model tuning.

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