Cellular Coverage Analysis Closeout Document April 13, 2015
Table of Contents 1.- Cellular Gap Analysis Overview... 3 2.- Summary of findings. 4-5 3.- Project Timeline... 6 4.- Project Methodology..7 5.- Geographic Target Boundaries...8 6.- Drive Testing Methodology...9 7.- Coverage Analysis Methodology...10 8.- Wireless Technologies Definitions...11-24 9.- Benchmarking Summary of Results..25-30 10.- Part A Cellular Gap Analysis...31-76 11.- Alpharetta Coverage Analysis 77-96 12.- Future Site Coverage Analysis 98-123 13.- Network Model w/fcc Spectrum Available..125-127 14.- Traffic Forecast Vs. Network Quality Analysis.129-134 15.- City of Alpharetta Additional Recommendations135-146 2
Cellular Gap Analysis Overview Outdoor Benchma rking Data Collection Indoor Benchmarking Data Collection Passive Crowdsou rcing Data Baseline Design Inputs From the 1 st round of drive testing the results collected allowed areas within the City of Alpharetta to be identified which need some improvement per operator and band. A combination of active Benchmarking (Drive Test) and passive Data (crowdsourcing) was used to create the network baseline quality as well as site survey analysis in the field in order to identify the height of the sites and more accurate depiction of site antenna model/configuration. Using the drive test data, the input from the surveys, and high resolution clutter data, model tuning was performed. Utilizing all inputs, propagation models per technology and per carrier are developed which provide new site or reuse of existing sites. Utilizing all inputs, recommendations are also provided on how operators may accommodate growth based on demand from the expected population increases, the expected traffic growth and the social media data location. Predication of network quality using the evolution of social demand, traffic demand, and how that can affect network behaviors 3
Summary of Findings Drive Testing Coverage within the city of Alpharetta for service subscribers falls within acceptable performance measurements for voice quality. No significant variance was noted from the standard. Street level coverage reports reflect performance for in-vehicle devices. It is important to realize that in-building coverage quickly diminishes due to varying properties of construction materials. Data for 4G measured no significant throughput concerns Data throughput for 3G measured below expected results for 3 carriers 4 Coverage & Gap Analysis Results reflect coverage within the city boundaries and have gaps or areas of significant loss of signal which may impact the user experience. Utilizing existing facilities, new tower placement, and optional technologies are described in the Coverage Gap Analysis section which may improve those areas identified. Network efficiencies decrease as coverage is impeded by constructed buildings resulting in carriers needing new solutions to ensure the customer expectations are met. These factors apply not only to initial network access but also to connected mode network performance and throughput. 4
Summary of Findings (cont) FCC Spectrum Available Analysis conducted reflects prediction model should unused spectrum be implemented. NOTE: Spectrum depth available to carriers is a direct result of network capital expenditure investment. Carriers will deploy spectrum as necessary to meet the capacity needs of the network while properly marrying the coverage properties of the spectrum to the solution being deployed. Traffic Growth & Quality of Service Without planning on the part of the carriers and the city, capacity will reach critical levels in the future. NOTE: 4G LTE is key component in the phenomenon of global data growth. LTE networks covered about 20% of the world population in 2013 and the number is expected to grow to more than 65% by 2019. Along with Video M2M will be underlying driver of the increased data traffic. 5 5
Project Timeline City of Alpharetta Project Time Line Duration Start Finish Project Cellular Coverage - RFP: 15-105 57 1/15/2015 4/17/2015 Step 1: Data Collection 22 1/27/2015 2/25/2015 Step 2: RF Reports 3 2/13/2015 2/17/2015 Step 3: Site Survey 11 2/9/2015 2/23/2015 Step 4: Model Tuning Per Carrier 10 2/16/2015 2/27/2015 Step 5: Baseline RF Predictions 24 3/2/2015 4/02/2015 Step 6: Project Deliverables **addendum 25 3/2/2015 4/08/2015 4/17/2015 6
Project Methodology Step 1 Data Collection What: Benchmarking and crowdsourcing analysis of the filed data Why: create a baseline with the current quality of wireless cellular networks Step 2 RF Reports LCC Project Approach What: document General What: Post Methodology Process the data to analyze the coverage and network quality per carrier Why: understand the site location according to DT data Step 3 RF Site Survey and get more information about the tower location and site configuration Why: heights cannot be obtained from DT data Step 4 Model Tuning What: using data from Step 2 and 3, the RF model will be tuned according to Alpharetta morphology. This will tune the azimuths and site location. On addition, the coverage predictions will be tuned with the DT data Why: with this process the site STEP BY STEP location METHODOLOGY and azimuths will be tuned. Step 5 Baseline RF Predictions What: using overture and true site location data, the RF predictions will be done per carrier, technology and band Why: create the baseline of the current service for the carriers Step 6 Simulations for sites reuse, carrier deployment + Network Evolution What: using overture we will simulate how the wireless coverage looks like reusing sites, deploying additional carriers and network evolution using current social demand 7
City of Alpharetta Project Target The outlined area highlights the area of study that had been defined for the project analysis 8
Drive Testing Methodology Equipment Setup 9 3G Voice calls and Downlink and Uplink Speed tests were carried during the test
Coverage Analysis Methodology The following were used in predication models where their horizontal beam-widths are found to match for all carriers 65 Degrees = Commscope SBNH-1D6565B Radio Power: We will assume the use of 40W radios for all bands and all technologies, including but not limited to LTE, WCDMA and GSM Mechanical tilt: 2 degrees down-tilt for all technologies and all carriers Electrical tilt: 2 degrees electrical down-tilt for all technologies and all carriers Cable Feeder Loss : We used the use of Commscope 1-5/8 Feeders (LDF7-50A). The specific loss of each feeder will be determined based on Antenna height + 20 of slack (assumed for top and bottom runs). We used that fiber is used for all LTE sites for all carriers. 10
Wireless Technologies Definitions Wireless Alternatives System Definitions DAS Small Cell Solutions Matrix Radio Frequency Overview 11
Alternatives to Macro sites Wireless Alternatives Distributed Antenna System Outdoor Indoor Small Cell Solutions Outdoor Indoor City Owned Tower System Tower Company in RoW (Right of Way) solution 12
System Definitions Distributed Antenna Systems (DAS) Distributed Antenna Systems (DAS) eliminate dead spots for cellular handsets, ipads, and laptops by picking up and repeating signals throughout office buildings, warehouses and other structures. They are increasingly popular for businesses who want to provide clients and employees seamless voice and data communication wherever they are and Operators who need to increase capacity. 13
System Definitions Indoor Distributed Antenna Systems (idas) For an indoor DAS (idas) network, remote antennas are strategically placed throughout a building and are connected with fiber to a single hub containing the wireless service provider s equipment. The indoor DAS solution provides building owners with a single system to address their wireless needs and provides wireless carriers with a system that allows them to tailor their RF signal to meet their specific coverage and capacity needs. 14
System Definitions Outdoor Distributed Antenna Systems (odas) An outdoor DAS (odas) network consists of a central hub location which links, via fiber, a system of strategically placed antenna locations (or nodes) to provide carriers with pinpoint coverage not provided by traditional coverage methods. In addition, antennas can be placed on street lights or utility poles or cleverly camouflaged as street signs, boulders or other objects. 15
System Definitions Small Cell Networks The macro layer (cell towers) provides coverage to virtually everywhere in North America. However, capacity is another issue entirely. Today it is a very common occurrence to have good signal strength but insufficient bandwidth while attending a sporting event, visiting a hospital, shopping during the holidays, staying at a hotel or any place where there are many users. Distributed Antenna System (DAS) Networks and small cells are being deployed to provide coverage in targeted locations, moving radios closer to the subscriber, and or to providing additional call and data-handling capacity in areas with concentrated demands for wireless services. Because DAS Network installations can require significant upfront capital investment, especially when deployed outdoors, due primarily to the costs associated with designing and installing multiple Nodes and miles of fiber optic cabling. The design of DAS Networks involves unique considerations that make the design and deployment of the network different from the traditional macro-cellular engineering process. It is important that the design be performed by individuals that understand the differences. 16
System Definitions Small Cell Networks Cont. In contrast, small cell solutions are typically deployed piecemeal to provide coverage or enhance capacity in much smaller areas with a single wireless communications technology for a single wireless carrier. While each small cell installation is similar to a single DAS Node installation in that it requires a communications link back to the larger network, an electric power source, and location space, an appropriately configured small cell can generally be deployed to provide an immediate solution to a more isolated and smaller coverage or capacity challenge in a manner that requires much less upfront design work, planning and capital investment than DAS facilities. Microcells are usually deployed to improve network coverage and capacity in a given area. Microcells can be used outdoors and indoors, often in high-traffic areas like public transportation spaces or a single city block with heavy cellular traffic. Microcells are smaller than a DAS solution, and is a more compact equipment size, and lower transmit power and are typically intended for installations in enterprise environments up to 200,000 to 300,000 square feet. Wireless service providers use them to fill coverage gaps in high-traffic environments like hospitals, Hotels, Universities, railway stations, subway platforms, bus terminals, and large office complexes. Outdoor Microcells are often mounted on the side of a building or in the PROW (Public Right of Way) on utility poles, street light poles, traffic signal poles, etc. They are typically supported by fiber optic backhaul connections. 17
18 System Definitions Small Cell Alternative outdoor solutions
System Definitions Solutions Matrix 700MHz Mostly macro cells Small cells/das Cell edge Fill-in coverage Advanced Wireless Services (AWS) Smaller footprint Macro + More Small In-building Emerging solutions Venues Femto Cell/Small Cell Rapid deployment Very localized 19
Radio Frequency Overview Factors Affecting a Line Of Site RF Signal Environmental and equipment factors affect RF propagation. Some of these factors include: Environmental and physical factors Trees Signal strength will decrease with leaves Absorption Reflection Diffraction Scattering Equipment factors Receiver sensitivity Transmitter power Antenna height Antenna design Environmental and physical factors can negatively affect propagation and limit the maximum range of the signal. 20
Radio Frequency Overview Absorption RF energy is also lost to absorption when radio waves travel through substances. Any nonmetallic (non-conducting) objects in the path between the endpoint and receiver will absorb some of the signal, reducing the signal strength and signal range. Permanent obstructions, such as buildings, trees and other foliage, along with large dense objects, such as thick concrete walls (especially with no windows) absorb RF signals Terrain can also act as an obstruction. Hills and other landscape features located between the endpoint and receiver may absorb significant amounts of the RF signal. Depending on the day and the season, signal paths may have different absorption characteristics. During the summer, trees will have more absorption due to foliage. Conversely, less absorption occurs during the winter months. Wet trees absorb more than dry trees. Pine trees absorb more than leafy trees. Absorption characteristics for a specific signal path can change permanently due to additions and removal of various objects, such as new or renovated buildings, landscaping changes, etc. 21
Radio Frequency Overview Reflection Metal and other conducting objects reflect RF signals. Metal structures and materials like aluminum siding and flashing, walls with metal lathe or rebar, chain link fences, vehicles, water towers, and metal meter vault and pit lids all cause RF reflections. Endpoints located in basements might have to contend with metal furnaces, boilers, water heaters, metal ducts and pipes. Radio signals traveling over relatively smooth ground or bodies of water can also experience ground reflections. Frozen lakes and crusted snow cover can also cause ground reflections. Reflected signals create multiple paths of the same signal that might be out-of-phase with each other. 22
Radio Frequency Overview Diffraction Diffraction is a common natural phenomenon that affects light, sound, radio and other coherent waves. Abrupt changes and sharp edges of path obstructions can lead to signal diffraction, which changes the signal direction. Diffraction normally causes signal distortion; however, communications might occur even though the line of sight is entirely obstructed and the signal is distorted. 23
Radio Frequency Overview Scattering The direction of radio waves can also be altered through scattering. An example of scattering is the effect on a beam of light in fog. Radio waves are similarly scattered when they encounter randomly arranged objects of wavelength size or smaller, such as water droplets or vegetation. For reference, the wavelength of a 900 MHz signal is about 13 inches. Recall that both water and vegetation also absorb some of the signal. 24
25 Benchmarking Summary of Results
Description Drive testing is a process of measuring and assessing the coverage, capacity and Quality of Service (QoS) of radio network. It requires the use of a specialized personnel and equipment to collect and analysis for performance results within a geographic boundary. It provides for the realistic prediction of what a subscriber experiences during testing period. The data collected during a drive test consists of and measures: Signal Strength RF Interference Site Information QoS Signal Quality Dropped/Blocked/Failed Calls Service Level Stats GPS Coordinates/Locations 26
27 Drive Test Route
High Level Voice Call Summary Carrier A Carrier B Carrier C Carrier D Call Setup Success Rate 98.49% 98.63% 99.04% 99.07 Call Completion Rate 99.86% 99.58% 99.68% 98.60% Call Completion Success Rate 98.35% 98.22% 98.71% 97.68% Total Calls 728 729 622 647 Completed Calls 716 716 614 632 Dropped Calls 1 3 2 9 Failed Calls 11 10 6 6 Based on the results from the drive test period there are multiple indications of top performing carriers that vary in areas of measure. Overall Carrier C 99.1% Carrier A 98.9% Carrier B 98.8% Carrier D 98.4% 28
High Level Throughput Summary Based on the results from the drive test period there are top performance indicators for carriers in both categories 29
Summary Importance Options The drive data and summary of results only reflect a portion of what a typical subscriber may experience during the course of the test period. This information does not reflect the overall performance of any one individual carrier or overall standings within the city of Alpharetta. Conclusions are across the board, opportunities to encourage newer technologies for demand growth, improve level of service, and address current service concerns for service assurance. The city will experience increased coverage and capacity with targeted wireless solutions. These solutions can include: Macro Sites Outdoor DAS (Distributed Antenna Systems) Outdoor Small Cells In-building results also reflected a need for additional coverage. Options available for this solution can include: Indoor DAS Indoor Small Cell 30
31 Part A Cellular Gap Analysis
Description RF Engineering and Post Processing Mobile Device Data Demand Accuracy Social Demand Data Auto Design Environment Accuracy Overture Site Survey Data Signal Analysis Signal & Site DB Accuracy RF Data 32
33 Carrier C
Drive Test Plots LTE RSRP Definition of Table Strong Coverage Indoor Coverage In-vehicle coverage Medium Coverage intermittent Indoor Coverage Weak Coverage poor indoor Coverage weak In-vehicle coverage Outdoor Coverage 34
Drive Test Plots Carrier C LTE RSRP Cellular Tower 35
Drive Test Plots LTE RSRP Definition of Table Peg Counts for drive testing. This graph shows the occurrence of signal strengths from -30db to -150db. 36 RSRP (Reference Signal Receive Power) is the average power of Resource Elements (RE) that carry cell specific Reference Signals (RS) over the entire bandwidth, so RSRP is only measured in the symbols carrying RS. While RSSI (Received Signal Strength Indicator) is a parameter which provides information about total received wide-band power (measure in all symbols) including all interference and thermal noise. In LTE, RSRP provides information about signal strength and RSSI helps in determining interference and noise information. This is the reason, RSRQ (Reference Signal Receive Quality) measurement and calculation is based on both RSRP and RSSI.
37 Drive Test Plots Carrier C LTE RSRP
38 Drive Test Plots Carrier C UMTS RSCP
39 Drive Test Plots Carrier C UMTS RSCP
40 Drive Test Plots Carrier C Voice Quality
41 Carrier C Voice RSCP/Call Drops
42 Carrier B
43 Drive Test Plots Carrier B LTE RSRP
44 Drive Test Plots Carrier B LTE RSRP
45 Drive Test Plots Carrier B CDMA Ec
46 Drive Test Plots Carrier B CDMA Ec
47 Carrier B 3G Voice Quality
48 Carrier B Voice Ec/Call Drops
49 Carrier A
Drive Test Plots Carrier A LTE RSRP Addendum 4/17/15 50
Drive Test Plots Carrier A LTE RSRP Addendum 4/17/15 51
52 Drive Test Plots Carrier A CDMA Ec
53 Drive Test Plots Carrier A CDMA Ec
54 Carrier A 3G Voice Quality
55 Carrier A Voice Ec / Call Drops
56 Carrier D
Drive Test Plots Carrier D LTE RSRP Addendum 4/17/15 57
Drive Test Plots Carrier D LTE RSRP Addendum 4/17/15 58
59 Drive Test Plots Carrier D UMTS RSCP
60 Drive Test Plots Carrier D UMTS RSCP
61 Carrier D UMTS Voice Quality
Carrier D Voice RSCP/Call Drops Addendum 4/17/15 62
In-Building and Business Park Locations The following locations were tested for outdoor and indoor collection: 1150 Sanctuary Parkway #145 11605 Haynes Bridge Road 1000 Windward Concourse 63
64 1150 Sanctuary Parkway LTE RSRP
65 1150 Sanctuary Parkway UMTS RSCP/CDMA Ec
1150 Sanctuary Parkway (Indoor) LTE RSRP Carrier A Carrier B rrier CCa Carrier D 66
1150 Sanctuary Parkway (Indoor) UMTS RSCP/CDMA Ec Carrier A Carrier B Carrier C Carrier D 67
1150 Sanctuary Parkway (Indoor) UMTS RSCP/CDMA Ec Carrier A Carrier B Carrier C Carrier D 68
69 11605 Haynes Bridge Road (Parking Lot) LTE RSRP
11605 Haynes Bridge Road (Indoor) LTE RSRP Carrier A Carrier B Carrier C Carrier D 70
11605 Haynes Bridge Road (Indoor) UMTS RSCP/CDMA Ec Carrier A Carrier B Carrier C Carrier D 71
72 1000 Windward Concourse (Parking Lot) LTE RSRP
73 1000 Windward Concourse (Parking Lot) UMTS RSCP/CDMA Ec
1000 Windward Concourse (Indoor) LTE RSRP Carrier A Carrier B Carrier C Carrier D 74
1000 Windward Concourse (Indoor) UMTS RSCP/CDMA Ec Carrier A Carrier B Carrier C Carrier D 75
Summary Importance The drive data and summary of results only reflect a portion of what a typical subscriber may experience during the course of the test period. This information does not reflect the overall performance of any one individual carrier or overall standings within the city of Alpharetta. It is represented as a snapshot and prediction of service and not conclusive. 76
77 Alpharetta Coverage Analysis
Alpharetta Site Location Detail Name Latitude Longitude SITE01 34.050569-84.256352 SITE02 34.064671-84.272756 SITE03 34.05737-84.305024 SITE04 34.083044-84.253808 SITE05 34.078305-84.30186 SITE06 34.04107-84.284008 SITE07 34.04109-84.284093 SITE08 34.042841-84.321376 SITE09 34.057312-84.230832 SITE10 34.057471-84.230866 SITE11 34.066551-84.301183 SITE12 34.043633-84.312059 SITE13 34.086017-84.355281 SITE14 34.048396-84.299998 SITE15 34.055662-84.305366 SITE16 34.064099-84.276051 SITE17 34.0621-84.2529 SITE 18 34.0924-84.2395 SITE 19 34.0727-84.2603 SITE20 34.046303-84.299368 SITE21 34.045535-84.299066 OSITE01 34.089149-84.346596 OSITE02 34.120127-84.33139 OSITE03 34.063964-84.214807 OSITE04 34.108289-84.241505 OSITE05 34.092494-84.2034 OSITE06 34.115243-84.271142 OSITE07 34.041353-84.227124 OSITE08 34.041378-84.226769 OSITE09 34.020852-84.192743 OSITE10 34.025281-84.25323 OSITE11 34.022098-84.267388 OSITE12 34.096602-84.275271 OSITE13 34.063071-84.335504 OSITE14 34.03615077-84.33869362 OSITE16 34.02928678-84.3612349 OSITE15 34.10661901-84.3022424 78
Carrier C Site Latitude Longitude OSITE01 34.08915-84.3466 OSITE03 34.06396-84.2148 OSITE04 34.10829-84.2415 OSITE05 34.09249-84.2034 OSITE06 34.11524-84.2711 OSITE08 34.04138-84.2268 OSITE09 34.02085-84.1927 OSITE09 34.02085-84.1927 OSITE09 34.02085-84.1927 OSITE10 34.02528-84.2532 OSITE12 34.0966-84.2753 OSITE13 34.06307-84.3355 OSITE14 34.03615-84.3387 OSITE16 34.02929-84.3612 OSITE15 34.10662-84.3022 SITE01 34.05057-84.2564 SITE02 34.06467-84.2728 SITE05 34.07831-84.3019 SITE06 34.04107-84.284 SITE08 34.04284-84.3214 SITE10 34.05747-84.2309 SITE15 34.05566-84.3054 79
Carrier B Site Latitude Longitude OSITE03 34.06396-84.2148 OSITE04 34.10829-84.2415 OSITE05 34.09249-84.2034 OSITE06 34.11524-84.2711 OSITE08 34.04138-84.2268 OSITE09 34.02085-84.1927 OSITE11 34.0221-84.2674 OSITE10 34.02528-84.2532 OSITE12 34.0966-84.2753 OSITE16 34.02929-84.3612 OSITE15 34.10662-84.3022 SITE02 34.06467-84.2728 SITE04 34.08304-84.2538 SITE05 34.07831-84.3019 SITE07 34.04109-84.2841 SITE12 34.04363-84.3121 SITE13 34.085-84.3553 SITE15 34.05566-84.3054 SITE17 34.0621-84.2529 SITE20 34.0463-84.2994 80
Carrier D Site Latitude Longitude OSITE03 34.06396-84.2148 OSITE04 34.10829-84.2415 OSITE05 34.09249-84.2034 OSITE06 34.11524-84.2711 OSITE08 34.04138-84.2268 OSITE09 34.02085-84.1927 OSITE11 34.0221-84.2674 OSITE10 34.02528-84.2532 OSITE12 34.0966-84.2753 OSITE13 34.06307-84.3355 OSITE14 34.03615-84.3387 OSITE15 34.10662-84.3022 SITE01 34.05057-84.2564 SITE02 34.06467-84.2728 SITE03 34.05737-84.305 SITE04 34.08304-84.2538 SITE05 34.07831-84.3019 SITE07 34.04109-84.2841 SITE09 34.05731-84.2308 SITE13 34.085-84.3553 81
Carrier A Site Latitude Longitude OSITE01 34.08915-84.3466 OSITE02 34.12013-84.3314 OSITE07 34.04135-84.2271 OSITE03 34.06396-84.2148 OSITE04 34.10829-84.2415 OSITE05 34.09249-84.2034 OSITE06 34.11524-84.2711 OSITE09 34.02085-84.1927 OSITE11 34.0221-84.2674 OSITE10 34.02528-84.2532 OSITE12 34.0966-84.2753 SITE02 34.06467-84.2728 SITE03 34.05737-84.305 SITE14 34.0484-84.3 SITE04 34.08304-84.2538 SITE05 34.07831-84.3019 SITE06 34.04107-84.284 SITE08 34.04284-84.3214 SITE09 34.05731-84.2308 OSITE14 34.03615-84.3387 OSITE15 34.10662-84.3022 82
Spectrum Listing 83 Information provided by www.fcc.goc
Baseline Prediction Carrier A LTE 2.5 Ghz Pending 4/17/2015 84
Baseline Prediction Carrier A LTE 850 Mhz Pending 4/17/2015 85
86 Baseline Prediction Carrier A - WCDMA 850 Mhz
87 Baseline Prediction Carrier A - WCDMA 1900 Mhz
Baseline Prediction Carrier A - LTE 700 Mhz 88 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
89 Baseline Prediction Carrier B - WCDMA 1900 Mhz
Baseline Prediction Carrier D LTE 2100 Mhz 90 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier D LTE 700 Mhz Pending 4/17/2015 91
92 Baseline Prediction Carrier B - CDMA 850 Mhz
Baseline Prediction Carrier B LTE 700 Mhz 93 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier B - LTE 2100 Mhz 94 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
95 Baseline Prediction Carrier A - CDMA 1900 Mhz
Baseline Prediction Carrier A LTE 1900 Mhz 96 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Observations & Recommendations Modify w/new drive data Importance: When reviewing this section, consider this is a model used and in conjunction with the drive plot data, one can gain perspective how coverage can impact the user experience. Based on the observation and analysis of the prediction data, we were able to generate candidate sites which are listed under Future Site Coverage Analysis section. They are circled and shown in the following slides as: Future Site 1 including All Carriers Future Site 2 including All Carriers Colo Site 01 including Carrier B and Carrier A 97
98 Future Site Coverage Analysis
Prediction Carrier C - WCDMA 850 Mhz Before 99
Carrier C - WCDMA 850 Mhz After 100
Baseline Prediction Carrier C - WCDMA 1900 Mhz Before 101
Carrier C - WCDMA 1900 Mhz After 102
Baseline Prediction Carrier C - LTE 700 Mhz Before 103 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Carrier C - LTE 700 Mhz After 104 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier D - WCDMA 1900 Mhz Before 105
Baseline Prediction Carrier D - WCDMA 1900 Mhz After 106
Baseline Prediction Carrier D LTE 2100 Mhz Before 107 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Carrier D LTE 2100 Mhz After 108 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier D - LTE 700 Mhz Before Pending 4/17/2015 109
Carrier D - LTE 700 Mhz After Pending 4/17/2015 110
Baseline Prediction Carrier B - CDMA 850 Mhz Before 111
Carrier B - CDMA 850 Mhz After 112
Baseline Prediction Carrier B LTE 700 Mhz Before 113 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier B LTE 700 Mhz After 114 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier B - LTE 2100 Mhz Before 115 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier B - LTE 2100 Mhz After 116 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier A - CDMA 1900 Mhz Before 117
Future Prediction Carrier A - CDMA 1900 Mhz After 118
Baseline Prediction Carrier A LTE 1900 Mhz Before 119 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Future Prediction Carrier A LTE 1900 Mhz After 120 *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE.
Baseline Prediction Carrier A LTE 2.5 Ghz Before Pending 4/17/2015 121
Carrier A - LTE 2.5 Ghz After Pending 4/17/2015 122
Baseline Prediction Carrier A - LTE 850 Mhz Before Pending 4/17/2015 123
Carrier A - LTE 850 Mhz After Pending 4/17/2015 124
125 Network Model w/fcc Spectrum Available
Observations & Recommendations Importance: The following 4 slides show the prediction for the potential future use of the spectrum for each of the carriers. We have identified that each carrier has additional un-used spectrum and created a predictive coverage model for those. Per carriers we have: Carrier C: 2300 LTE MHz Carrier B: 1900 LTE Mhz 126
127 Predictive Coverage Carrier C LTE 2300 Mhz
128 Predictive Coverage Carrier B LTE 1900 Mhz
129 Traffic Forecast Vs. Network Quality Analysis
City of Alpharetta 5 Year to 10 Year Projection Model The following 4 slides show the Statistics of population s demand and how they are served by the current Modulation Schemes. We assume a increase in demand of 100% each year to extrapolate the future demand and test how the current network would fare if it remains the same. We can observe that there is a large decrease of demand covered at higher modulation schemes over the years proving that additional resources would be needed to cover the demand. 130
Carrier C Predictive Coverage per Modulation Scheme RCENTAGE OF DEMAND COVERED 60% 50% 40% 30% 20% 10% 0% 14% 53% 32% 6% 6% 8% 5% 5% 7% Today Year 5 Year 10 MODULATION SCHEME USED 64 QAM 16 QAM QPSK 131
Carrier A Predictive Coverage per Modulation Scheme PERCENTAGE OF DEMAND COVERED 60% 50% 40% 30% 20% 10% 0% Today Year 5 Year 10 MODULATION SCHEME USED 64 QAM 16 QAM QPSK 132
Carrier B Predictive Coverage per Modulation Scheme PERCENTAGE OF DEMAND COVERED 60% 50% 40% 30% 20% 10% 0% Today Year 5 Year 10 MODULATION SCHEME USED 64 QAM 16 QAM QPSK 133
Carrier D Predictive Coverage per Modulation Scheme PERCENTAGE OF DEMAND COVERED 60% 50% 40% 30% 20% 10% 0% Today Year 5 Year 10 MODULATION SCHEME USED 64 QAM 16 QAM QPSK 134
135 City of Alpharetta Additional Recommendations
Observations & Recommendations Modify w/new drive data 4/17/15 Importance: The following slides show the additional areas lacking coverage in the city of Alpharetta after the deployment of potential future site and site re-use. Recommendations that additional solutions be implemented in those areas of interest to increase the coverage. Recommendations include the deployment of DAS and outdoor small cells at high frequencies in those specific areas of interest to adequately serve the demand. City will need to work with the carriers to achieve a balance between the need for macro sites and this small cell solution. In some instances, a macro site will serve the public better than a small cell or DAS solution. 136
137 Future Prediction Carrier C - WCDMA 1900 Mhz
138 Future Prediction Carrier D - WCDMA 1900 Mhz
Future Prediction Carrier D - LTE 700 Mhz Add w/new drive data Pending 4/17/2015 139
140 Carrier A - CDMA 1900 Mhz
Future Prediction Carrier A - LTE 2.5 Ghz Add w/new drive data Pending 4/17/2015 141
Future Prediction Carrier A - LTE 850 Mhz Add w/new drive data Pending 4/17/2015 142
Future Prediction Carrier B - LTE 2100 Mhz *The Legend has been modified to account for the difference in Pilot power between 3G and 4G LTE. 143
144 Future Technologies and Deployment Network Models
145 Future Technologies & Deployment Network Models In addition to the recommended placement of future macro sites, COA should consider deploying and Small Cells. Some of the latest Small Cells are engineered with enough processing overhead and capability to support future releases of the standards, which makes it a good long term investment for COA. Deployment of Small Cells will assist COA in keeping up with capacity demands as the population rises in the years to come. Furthermore, the placement of Small Cells will fill any coverage holes as carriers move towards high band frequencies to accommodate increased network usage. Also, Smalls Cells will utilize existing public property for antenna placement, which is a plus for COA because it would stay within the high constraints.
146 Pending addendum 4/17/2015
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