lte cov cap case study
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Telecoms Academy Radio Planning Case Study
Telecoms Academy Radio Planning Case Study
Marketing Data A market survey was carried out and the following information was obtained Number of Subscribers This is an estimate based on current market figures, also referred to as the penetration of the potential market. This figure is the total number of subscribers including voice and data. The expected penetration for the Westminster area is 30%. During the day the actual population grows by 70% over the base population due to commuting workers. These subscribers should also be taken in to account when calculating subscriber numbers Number of mobile voice subscribers This is the percentage of the total number of subscribers that are expected to make voice calls. 90% of the total number of subscribers will use the service to make voice calls. However it is expected that all of the voice calls will be carried initially by the existing RAN. Number of data subscribers This is the percentage of the total number of subscribers that are expected to use data services. Market survey response indicates that 70% of the subscribers are likely to use the data services. Number of mobile data subscribers This is the percentage of the total number of subscribers that are expected to make use of the data capability of their handsets. Response to marketing survey expects that 90% of the data users will make use of the data capability of their handset. Number of data dongle subscribers (laptop) This is the percentage of subscribers that have access to data dongles (USB or PCMCIA cards). The marketing survey suggests that some users will be using both their data phones and their connected laptop devices therefore the percentage of laptop users is 25% of the data users. Density of users (indigenous) and commuters This is the number of users per Km2 Average call duration The average voice call duration is 190 seconds, however the voice calls are carried by the legacy network and have no impact on the data network capacity (at least for now) Data applications/websites used Most applications are accessible on both handheld and laptop devices, the marketing survey indicates the most likely application to be used by both mobiles and laptops Application/Website Mobile Laptopemail Facebook YouTube BBC News Feed BBC News Text Google Earth/Maps VoIP other Web
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Telecoms Academy Radio Planning Case Study
Telecoms Academy Radio Planning Case Study
Application activity This data gives an indication of the likely activity of the service, values range 1 5, where 1 is low and 5 is high Application/Website Mobile Laptopemail 5 5 Facebook 3 4 YouTube 3 3 BBC News Feed 2 2 BBC News Text 3 3 Google Earth/Maps 2 2 VoIP - 2 other Web 3 3 Average data session duration This data indicates the likely duration of each session, stated as high, medium and low, these values indicate the length of the data session, where high is greater than 1 hour, medium is 30 min 60 min and low is less than 30 min. Application/Website Mobile Laptopemail High High Facebook Med High YouTube Med Med BBC News Feed Med Med BBC News Text Low Med Google Earth/Maps Low Med VoIP - Med other Web Med Med Average data session data volume This data indicates the volume of data likely to be moved during 1 session. This data is based on average figures obtained from various measurements and statistical analysis of typical users. Figures shown are in Kilo-bits and Mega-bits. Application/Website Mobile Laptopemail 500KB 5MB Facebook 1MB 10MB youtube 1500KB 3MB BBC News Feed 200KB 1MB BBC News Text 1MB 10-30MB Google Earth/Maps 5MB 15MB VoIP - 20MB other Web 500KB 5MB
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Telecoms Academy Radio Planning Case Study
Telecoms Academy Radio Planning Case Study
Average bit rate per session This data indicates the required data rate for each of the applications, these figures are based on a data rate which provides the minimum of delay for the application in use. Delay figures are not shown and the figures are the minimum value. Application/Website Mobile Laptopemail 100Kbps 1Mbps Facebook 500Kbps 2Mbps youtube 500Kbps 2Mbps BBC News Feed 100Kbps 1Mbps BBC News Text 2Mbps 5Mbps Google Earth/Maps 500Kbps 5Mbps VoIP - 100Kbps other Web 500Kbps 2Mbps Subscriber activity level Both mobile and laptop users may have a high, medium or low activity factor. This study defines the users as having an activity level of 1 5 where 1 is low and 5 is high. The table below indicates the level of activity expected from the different class of users. Application/Website
Mobile LaptopHigh Med Low High Med Low
email 5 4 2 5 4 3 Facebook 4 3 1 5 3 2 youtube 4 2 1 5 2 1 BBC News Feed 5 4 3 5 4 3 BBC News Text 3 2 1 4 2 1 Google Earth/Maps 3 2 1 3 2 1 VoIP - - - 3 2 1 other Web 3 2 1 3 2 1
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Bandwidth
Noise Factor
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UE Rx Sens
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Telecoms Academy Radio Planning Case Study
Telecoms Academy Radio Planning Case Study
Maximum Allowable Pathloss Calculate ValueSystem Gain = EiRP Min IRL QPSK 1/2
System Gain = EiRP Min IRL 16QAM 3/4
System Gain = EiRP Min IRL 64QAM 5/6
Total Margin = Shadow+Building+Foliage
MAPL = System GainQPSK Total Margins
MAPL = System Gain16QAM Total Margins
MAPL = System Gain64QAM Total Margins Nominal Cell Radius Cost 231-Hata/ number of sites required for Coverage Use the spreadsheets to work out the nominal cell radius for each of the modulation schemes and determine the number of sites required to provide coverage over the case study area. Assume 16Km2 for the Westminster area. Calculate From Spreadsheet @ 900MHz @ 2600MHz Km # cells Km # cells
QPSK Dense Urban cell radius/no required
16QAM Dense Urban cell radius/no required
64QAM Dense Urban cell radius/no required
QPSK Urban cell radius/no required
16QAM Urban cell radius/no required
64QAM Urban cell radius/no required
QPSK Suburban cell radius/no required
16QAM Suburban cell radius/no required
64QAM Suburban cell radius/no required
QPSK Rural cell radius/no required
16QAM Rural cell radius/no required
64QAM Rural cell radius/no required
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Telecoms Academy Radio Planning Case Study
Telecoms Academy Radio Planning Case Study
Assuming the following values for expenditure and revenue and a 5MHz Channel bandwidth Site CAPEX $ 25,000 Site OPEX/month $ 3000 System OPEX/Month $ 75,000 Revenue/Month $ 50/user
e) Can the system be profitable ?
f) How could the project be improved i.e. shorter break even ?
g) Compare the site numbers and break even intervals for QPSK and 64QAM, what
causes the differences in values ?