• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Network dimensoning and cost structure analysis of Radio access Network
 

Network dimensoning and cost structure analysis of Radio access Network

on

  • 848 views

 

Statistics

Views

Total Views
848
Views on SlideShare
846
Embed Views
2

Actions

Likes
0
Downloads
11
Comments
0

1 Embed 2

http://www.linkedin.com 2

Accessibility

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Network dimensoning and cost structure analysis of Radio access Network Network dimensoning and cost structure analysis of Radio access Network Document Transcript

    • Homework 3 Wireless Infrastructure Deployment and Economics IK2514Dimensioning and cost structure analysis of wide area data service network Asfak Rahman asfak@kth.se
    • IntroductionThe task of this report is to dimension and design a radio access network for a new operator‘Greenfield’ in the urban area of Little Belgium. The operator has three types of RATdeployment options and a required coverage plan to be fulfilled within timeline. First, userdemand is calculated considering the expected penetration rate. Then network dimensioning isadjusted for the required capacity in each year. Finally, a close comparison is conducted amongdeployment options in term of cost and most optimal solution is suggested to the ‘Greenfield’operator.User demand CalculationThe target urban area is 1000 km2. This area has to be covered by the operator within 5 years. Ayearly penetration rate has been provided to determine the expected users in that particulararea. Coverage and User Expectation year 0 1 2 3 4 5 Covered area % 0 20% 40% 60% 80% 100% Area,km2 0 200 400 600 800 1000 Users 0 400000 800000 1200000 1600000 2000000 Penetration rate 0 10% 15% 20% 20% 20% Expected users 0 40000 120000 240000 320000 400000The total traffic is assumed to be concentrated to 4 hours per day and monthly average datausage is provided. So data rate per user can be achieved by the equation “Data rate = 8*(Usageper user)/30*60*60*4 “.At the beginning of first year there is no deployed network, so totaldemand of data rate is concentrated to null. User Demand year 0 1 2 3 4 5 Usage per User(GB/month) 1 1.2 1.4 1.6 1.8 2 Data rate per User, Mbps 0 0.023 0.027 0.03 0.034 0.038 Expected Users 0 40000 120000 240000 320000 400000 Total require data rate, Mbps 0 920 3240 7200 10880 15200 Data Rate Mbps/km2 0 4.6 8.1 12 13.6 15.2
    • Cost structure descriptionAs a new operator, the network has to be deployed from the scratch. Available RAT solutionsare UMTS macro, UMTS micro and WLAN. Radio Access Network RAT deployment Cell range(Urban) UMTS Macro 0.6 km UMTS Micro 0.15 km WLAN 0.03 kmUMTS macro has same capacity as UMTS micro, but has better coverage and the price of theBTS and installation cost is double than UMTS micro. WLAN is quite cheap to deploy, but with avery poor coverage. Some thousands of sites would be needed to deploy WLAN technology in ashort area. Overall building the network will be cheaper for WLAN and UMTS micro comparedto UMTS macro. But there is a possibility of high OPEX due to huge amount of sites.Network ModelingCapacity, cost structure and NPV calculation are considered in network modeling section. Sincea new network is being planned to be deployed, site based capacity model would be moreappropriate for calculations. The cell size is assumed as a hexagon. The area of a hexagon is3*sqrt(3)*R2/2,where R is the radius of a cell. For simplicity network dimensioning is producedfor each RAT solutions individually.UMTS macroThe range of one UMTS macro BTS is 0.6 km. So the area covered by one site is 0.935 km2.Capacity of one BTS is 1 Mbps and maximum capacity of one site is 6 Mbps (3-sectors with 2carriers each). From the user demand table we can found that we would be out of themaximum capacity in 2nd year of deployment. So sites should be placed more condensedmanner to meet up with the maximum capacity limit. For this purpose a statistical approach isbeing taken under consideration and transmission power is adjusted to recover the optimal cellcoverage of 0.39 km2 (required capacity of one site in 5th year =0.39*15.2 = 5.928 Mbps ). Nofuture data rate demand is taken under consideration in this report.
    • The table below shows that required capacity is being met by increasing the number of sectorsand carriers to the deployed sites every year. Leased line capacity is 2 Mbps. From 2nd yearleased line capacity is incremented with the growing demand of data rates. Capacity calculation, UMTS macro year 0 1 2 3 4 5 Area,km^2 0 200 400 600 800 1000 Total number of sites 0 513 1026 1538 2051 2564 Additional Carrier/sectors 0 2 4 5 6 6 Total Capacity, Mbps 0 1026 4104 7690 12306 15384 Total required capacity, Mbps 0 920 3240 7200 10880 15200 Capacity per site, Mbps 0 2 4 5 6 6 Required Capacity per site, Mbps 0 1.8 3.16 4.7 5.3 5.9 Required leased lines E1 0 1 2 3 3 3The cost table contains information about the CAPEX and OPEX. Every year old sites areupgraded with more sectors/carriers. In the final year no upgrade is done. So the CAPEX islower than previous years. Cost Table for UMTS Macro CAPEX year 0 1 2 3 4 5 number of sites each year 0 513 513 512 513 513 Additional sectors/carriers 0 1026 3078 3586 4616 3078 BTS cost 0 10260 10260 10240 10260 10260 Carrier cost 0 10260 30780 35860 46160 30780 site installation cost 0 15390 15390 15360 15390 15390 Data line installation cost 0 2565 2565 2560 2565 2565 Site Build-out cost 0 20520 20520 20480 20520 20520 Total 0 58995 79515 84500 94895 79515 Price erosion 0% 5% 5% 5% 5% CAPEX,K Euro 58995 75539.25 80275 90150.25 75539.25 OPEX Site Lease cost 0 4104 8208 12304 16408 20512 Leased line E1 cost 0 513 2052 4614 6153 7692 Electricity cost 0 2052 8208 15380 24612 30768 Operation & maintenance cost 0 5899.5 7553.925 8027.5 9015.025 7553.925 Total OPEX, K Euro 12568.5 26021.93 40325.5 56188.03 66525.93
    • UMTS microThe range of one UMTS micro BTS is 0.15 km. So the area covered by one site is 0.06 km2.Capacity of one BTS is 1 Mbps. The coverage area is very small with high capacity. So we candirectly apply the per site based capacity model. Usually micro BTS is used to cover a smalluncovered area where the penetration loss is high and SNR does not meet as required. But anetwork dimensioning model is created to analyze the impact of full coverage by UMTS microsolution. From the table, we can see that we do not need to upgrade sites with additionalsectors or carriers. Capacity calculation, UMTS micro year 0 1 2 3 4 5 Area,km^2 0 200 400 600 800 1000 Total number of site 0 3334 6667 10000 13334 16667 Additional Carrier/sectors 0 0 0 0 0 0 Total Capacity, Mbps 0 3334 6667 10000 13334 16667 Capacity per site, Mbps 0 1 1 1 1 1 Required Capacity per site, Mbps 0 0.276 0.486 0.72 0.816 0.912Cost table is provided below. Cost Table for UMTS Micro CAPEX year 0 1 2 3 4 5 number of BTS per year 0 3334 3333 3333 3334 3333 Additional Carrier 0 0 0 0 0 0 BTS cost 0 33340 33330 33330 33340 33330 Carrier cost 0 0 0 0 0 0 site installation cost 0 66680 66660 66660 66680 66660 Data line installation cost 0 16670 16665 16665 16670 16665 Site Build out cost 66680 66660 66660 66680 66660 Total 183370 183315 183315 183370 183315 Price erosion 0% 5% 5% 5% 5% CAPEX,K Euro 183370 174149.3 174149.3 174201.5 174149.3 OPEX Site Lease cost 0 13336 26668 40000 53336 66668 Leased line E1 cost 0 3334 6667 10000 13334 16667 Electricity cost 0 666.8 1333.4 2000 2666.8 3333.4 Operation & maintenance cost 0 18337 17414.93 17414.93 17420.15 17414.93 Total OPEX, K Euro 35673.8 52083.33 69414.93 86756.95 104083.3
    • WLANWLAN is a technology developed for small coverage area with high data throughput. Usually itis developed for home users to have internet connectivity wirelessly. But there are someexample of large projects implemented with WLAN. The given cell range is 0.03 km. Thenassuming hexagonal cell ,the coverage area would be 0.00234 km2. Since the cell size is verysmall, we will need huge amounts of BTS to cover provided area. Capacity calculation, WLAN year 0 1 2 3 4 5 Area,km^2 0 200 400 600 800 1000 Total number of BTS 0 85470 170940 256410 341880 427350 Additional Carrier/sectors 0 0 0 0 0 0 Total Capacity, Mbps 0 85470 170940 256410 341880 427350 Capacity per site, Mbps 0 10 10 10 10 10 Required Capacity per site, Mbps 0 0.0013 0.0023 0.0035 0.004 0.0045As we have good capacity in each BTS, we just have to cover the whole area by adding new BTSeach year. Finally, a cost table is produced to calculate the CAPX and OPEX yearly. Interesting tomention that OPEX is higher than CAPEX due to huge number of BTS has been deployed andtheir maintenance is costly than BTS itself. Cost Table for WLAN CAPEX year 0 1 2 3 4 5 number of BTS per year 0 85470 85470 85470 85470 85470 Additional Carrier 0 0 0 0 0 0 BTS cost 0 85470 85470 85470 85470 85470 Carrier cost 0 0 0 0 0 0 site installation cost 0 256410 256410 256410 256410 256410 Data line installation cost 0 0 0 0 0 0 Site Build-out cost 0 0 0 0 0 Total 341880 341880 341880 341880 341880 Price erosion 0% 5% 5% 5% 5% CAPEX,K Euro 183370 324786 324786 324786 324786 OPEX Site Lease cost 0 85470 170940 256410 341880 427350 Leased line E1 cost 0 85470 170940 256410 341880 427350 Electricity cost 0 1709.4 3418.8 5128.2 6837.6 8547 Operation & maintenance cost 0 18337 32478.6 32478.6 32478.6 32478.6 Total OPEX, K Euro 190986.4 377777.4 550426.8 723076.2 895725.6
    • NPV calculationNPV calculation is computed form the cost table of three deployment options for whole 5years. For this purpose a high discount rate of 10% is used. The graph below shows the cashoutflows for each RAT deployments. From the graph we can see that UMTS macro has low cashoutflows than the other two technologies. So UMTS macro would be an optimal option todeploy due to low risk and high profitability. profita 3500000 3000000 2500000 2000000 UMTS macro UMTS micro 1500000 WLAN 1000000 500000 0 1 2 3ConclusionAfter taken consideration of CAPEX, OPEX and NPV calculation, we can come to the conclusionthat UMTS macro is more appropriate to deploy rather than other two technologies. Butneither of all these RAT solutions are appropriate alo alone. Because we have calculated the usersare uniformly distributed in our geographical area. In real time the user distribution would bedifferent depending of geographical areas. So more optimal solution would be to deploy thenetwork with integrate UMTS macro and UMTS micro.