07_RN31548EN10GLA0_Coverage and Capacity Planning
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Coverage and Capacity planning
Customer confidential
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3GRPESS – Module 7
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Module 7 – Coverage and capacity planning
Objectives
After this module the participant shall be able to:-
• Understand different planning approaches
• Understand specific HSDPA and HSUPA planning issues
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• Understand different ways to optimise capacity
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Content
• Site selection
• Coverage and interference planning
•
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• Coverage and capacity improvement
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Content
• Site selection
• Coverage and interference planning
•
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• Coverage and capacity improvement
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Site Selection – Motivation
• Sites represent expensive long term investments for the operator.
• Good site selection is critical to the performance of a 3G radionetwork.
• Neither RF optimisation nor parameter optimisation can compensate
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.
• Site acquisition teams are often under pressure to offer largenumbers of sites while radio network planning teams are often under
pressure to accept large numbers of sites.
• Site selection criteria are used to evaluate whether or not a site issuitable.
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Site selection criteria
• Site selection criteria can be divided into two categories
– Inclusion criteria
▪ Whether or not a site should be considered for inclusion within the 3G radio
network plan
▪ Sites with ‘No’ should be included only unless there are no alternatives and thebenefit of introducing the site is believed to justify its cost
– Prioritisation criteria
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▪Prioritise those sites being considered for inclusion
▪ Select first sites with highest number of ‘Yes’
• These criteria should be evaluated after a site visit and not only
from the information available within a radio network planning tool
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Site Inclusion criteria – Radio
1. Does the site allow the main beam of each proposedantenna to have good visibility of the surroundingterrain without any high obstacles blocking the view?
2. Can the main beam of each antenna be positionedsuch that it does not cross the main beam of another
antenna?3. Can the main beam of each antenna be positioned
such that they are not shadowed by the building orstructure upon which they are secured?
4. Can each antenna be mounted above the roof-to s of
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the neighbouring buildings without being excessivelyabove them? – Typically < 10 m above the neighbouring roof-tops
5. Do neighbouring cells have antenna heights which arewithin 15 m of the proposed antenna heights?
6. Are neighbouring cells of similar size?
7. Is the site unlikely to be very dominant and unlikely tocause significant interference to neighbouring cells?
8. Is the best server area of the site unlikely to befragmented?
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Site Inclusion criteria – Implementation
9. If the proposed site is a rooft-top site, is theresufficient space for the appropriate antennamountings to ensure that there is adequateclearance from the roof-top?
10. Is the site safe from new neighbouring buildingswhich may be constructed in the future andwhich may block the main beam of an antenna?
11. Are the cabling distances between the Node B
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12. Is there access to leased lines or microwavelinks for transmission purposes?
13. Is there availability of the Node B power supplyrequirements?
14. Is there space to accommodate the Node Bequipment?
15. Are rental costs acceptable?
16. Is there reasonable access to the site?
• DC feed up to 200m
• multimode fiber 200m
• single mode fiber 15km
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Site Prioritisation criteria
1. Is the site an existing GSM site?
2. Do antenna locations allow for changes in azimuth?
3. Do antenna locations allow for changes in height?
4. Do antenna locations allow sufficient isolation fromother antennas, e.g. GSM antennas?
5. Is the site away from environmentally protected orhistoric areas?
Existing site
Antenna sharing Cost of site
Access
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6. Is the site unlikely to require any special permits?7. Is the site unlikely to cause public disapproval?
8. Does the site form a regular pattern with itsneighbours?
9. Is the site close to where the traffic is expected?
10. Is the site capable of accommodating potentialcapacity upgrades?
locationAnd so on…
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Site Selection – Site Information
• Collect all necessary information about site details
– Site coordinates, height above sea level, exact address
– House owner
– Type of building
– Building materials (photo)
– Possible antenna heights
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– 360deg photo (clearance view) – Neighbourhood, surrounding environment
– Drawing sketch of rooftop
– Antenna mounting conditions
– Access possibilities (truck?, road, roof) – BS location, approx. feeder lengths
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Site Selection & Site Survey Tools
• A paper map of the area
• A paper diagram of the building
• Coverage plot from the planning tool• Best server plot from the planning tool
• A GPS receiver
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• nocu ars an compass• A digital camera
• An altimeter
• A tape measure or other measuring device• Safety equipment if necessary
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Site Selection / Site Survey documentation
• SARF
Site Acquisition Request Form
• SIR/SARSite Information (Acquisition) Report
• TSS report
Technical Site Surve Re ort
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• TDRSTechnical Data for Radiating System
• ...
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Content
• Site selection
• Coverage and interference planning – Pathloss based approach
– 3G Simulation based Approach
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– p ann ng – HSUPA planning
• Capacity planning
• Coverage and capacity improvement
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Path Loss based Approach
• Relatively simple and most commonly adopted approach
• Uses software tools which are relatively mature
• Generates results which are easy to interpret• Makes use of maximum allowed path loss figures from link budgets
• Generates plots and statistics for 3G coverage, best server areas
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Link Budget result for maximum allowed path loss 140 dB
Downlink transmit power in the planning tool 33 dBm
Node B antenna gain assumed in the link budgets 18 dBi
Feeder Loss assumed in the Link Budgets 2 dB
Planning tool signal strength threshold -91 dBm
Should also account for differences between the uplink anddownlink path loss (this approach uses the downlink path loss togauge coverage)
and C/I
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Pilot power planning threshold
• Link budget, planning margin and planningthreshold definitions are important phasesof pathloss based 3G planning
Antenna gain
Antenna line losses
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Received pilot power = Pilot transmit power – Antenna line losses + Antenna gain - (Max. pathloss – Planning margins )
CPICH EIRP
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Pilot power planning threshold
• Pilot power planning threshold is the minimum outdoor pilot levelwhich is required in order to achieve the required CoverageProbability
• Pilot power planning threshold is based on power budgetcalculations and planning margin definitions –
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– Eb/N0 – Location probability Slow fading margin
– Indoor/outdoor coverage
• Pilot power planning threshold have to be defined separately foreach service and area type – Select the threshold for limiting service
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Pilot power planning threshold – Examples
Different services can have different coverage quality requirementsand thus also different planning margins
• Indoor (BPL = 12 dB, St. Dev. = 10 dB)
• 90 % location probability
Indoor
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Speech -90.0 dBm Uplink limited
Video call -90.2 dBm Uplink limited
PS Data 384/384 -82.4 dBm Uplink limited
PS Data 384/HSDPA 384 -84.6 dBm Uplink limited
HSUPA 384/HSDPA 384 -85.4 dBm Uplink limited
HSUPA/HSDPA 1 Mbps -80.8 dBm Downlink limited
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Effect of planning margin on coverage area
• Planning margin parameter settings have a major effect on the cellarea calculations
NRT 64/384 planning margin effect on Coverage Area
(stepped +/- 1dB)
80%
100%
120%
a
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-80%
-60%
-40%
-20%
0%
20%
40%60%
-6 -4 -2 0 2 4 6
Change of parameter
E f f e c t i n
C o v e r a g e
A r e
Building penetration loss change (ref = 16dB)
Indoor standard deviation change (ref = 12dB)
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Import SiteCandidates
DefinePropagation Model
Example Process for Path Loss based Approach
• Process should be customised for specific project requirements
• Coverage and Cell Isolation analysis should include best server areaanalysis
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Compute Path Loss
Default Config.ComputeService LinkBudgets
Pilotthreshold
Coverage and Cell Isolation Analysis
Propagation Model
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• Task divided into two activities
• Service coverage to be maximised while managing cell isolation
• Cell isolation translates to system capacity
Coverage and Cell Isolation AnalysisPath Loss Based Approach
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Coverage and Cell Isolation Analysis
Coverage Analysisand Optimisation
Cell Isolation Analysisand Optimisation
Existing process New process
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• Same array as currently used – termed ‘Best Server’ array
• Requirement to identify dominant clutter type and use appropriate pilot planningthreshold
• Pilot planning thresholds computed from dominant of uplink and downlink linkbudgets
Example Coverage ArrayPath Loss Based Approach
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Example Coverage Report
• Service coverage report for dominant clutter type
• Used as a tool for quantifying gains and losses in coverage performance
• Coverage specified on a per clutter type basis
Path Loss Based Approach
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Example Cell Isolation ArrayPath Loss Based Approach
• Downlink C/I array used – termed ‘Total Interference’ array
• Used as a tool for quantifying gains and losses in coverageperformance
• Requirement to include an edge zone of sites• Poor cell isolation can appear as poor C/I
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Example Cell Isolation Array
• C/I report for -6 dB threshold, also generate for -3dB, +3dB and +6dB
• Used as a tool for quantifying gains and losses in C/I performance
Path Loss Based Approach
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Scenario modelled by C/Ianalysis: no SHO
Scenario with C/I greater than -6dB: manageable SHO
Scenario with C/I less than -6dB: excessive SHO
Accounting for Soft Handover (I)Path Loss Based Approach
• C/I analysis does not explicitly account for soft handover connections – some of the interfering connections will actually be soft handover connections
• C/I less than -6dB would lead to excessive soft handover connections
– an area with a C/I of -6dB is likely to have more than 3 soft handoverconnections
• C/I greater than -6dB still leads to sufficient soft handover regions that must bemanaged by the soft handover parameter set
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Accounting for Soft Handover (II)
• 3G simulations can be used to illustrate the correspondencebetween C/I and the number of candidate soft handover connections
• 3G soft handover parameter set may be used to manage the
resultant soft handover overhead
Path Loss Based Approach
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C/I < -6 dBcorresponds toexcessive soft
handovercandidates
C/I > -6 dBcorresponds tosufficient soft
handovercandidates
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Poor dominanceand strong best
Poor dominanceand weak bestserver signal
Hexagonal Site
Example of a Poor Cell Layout
• Areas of poor dominancecorrespond to inefficient use of theair interface
• Weak best server signals lead toareas susceptible to interference
• Solution is to change the cell layout
Path Loss Based Approach
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C/I < -6 dB C/I Coverage
Areas of poordominance – some
with low C/I
performance
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Each antennadirected between two
others
Cloverleaf Site
Example of a Good Cell Layout
• Cloverleaf design
• C/I patterns mesh
• Dominance areasrelatively well defined
Path Loss Based Approach
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Both coverage andC/I performancerelatively good
C/I < -6 dB C/I Coverage
B
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C/I > 12 dB
C/I < 12 dB
Example Network Performance (I)
• An example urban area
• Maximising coverage performance does not encourage antenna downtilts
• Downtilt should be used with caution to prevent excessive increases in site
density
Path Loss Based Approach
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No downtilts
poor C/I
C/I < 9 dB
C/I < 6 dB
C/I < 3 dB
C/I < -6 dB
C/I < -3 dB
C/I < 0 dB
Downtilts of up to 6°
improved C/I
P th L B d A h
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Dense Urban
Urban
Suburban
Coverage
Example Network Performance (II)
• Corresponding plots of service coverage performance
Path Loss Based Approach
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Rural
No downtilts
non-contiguous local coverage
Downtilts of up to 6°
contiguous local coverage
• Local dense urban service coverage performance improved
• Downtilts have improved both the C/I and the local coverage performance
P th L B d A h
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AppropriateAntennaHeights
Impact of Antenna Height
• High antennaplacement increaseslevels of remoteinterference
Path Loss Based Approach
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Excessively highantennas
Significant overlapof coverage areas
Degraded C/Iat remotelocations
Reduceddominance of
neighbors
Extensivedominance forthe highantenna
Excessive Antenna Heights
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Content
• Site selection
• Coverage and interference planning – Pathloss based approach
– 3G Simulation based Approach
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– p ann ng
– HSUPA planning
• Capacity planning
• Coverage and capacity improvement
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3G Simulation based Approach
• is more complex and time consuming
• is often used for focused 3G system investigations rather than wide area radio networkplanning
• uses software tools which are less mature• generates results which are more difficult to interpret
• makes use of 3G parameter assumptions and a 3G traffic profile
• Generates lots and statistics for covera e ca acit soft handover intercell interference
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uplink load and downlink transmit power, HSDPA Performance
Monte Carlo Simulation
• static simulation which considers snap shots in time
• for each snap shot a population of mobile terminals is distributed and the radio network
behaviour evaluated• simulation results are recorded as an average over many independent snap shots
• probability distributions can be generated
• in contrast to a dynamic simulation which runs over time
3G Simulation Based Approach
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Snap shot
Calculate UE transmitpowers
Evaluate Uplink Cell
Start
Distribute terminals
Iteration
3G Simulation Based Approach
3G Simulation Algorithm
• On first iteration theuplink load is 0 % andthe total cell transmit
powers are only theCPICH and CommonControl Channels
•
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Calculate cell transmitpowers per user
Evaluate total Celltransmit powers
oa
Record results
specific iteration if theuplink load or celltransmit power is toohigh
• UEs are blocked for aspecific snap shot ifthey are blocked forconsecutive iterations
3G Simulation Based Approach
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Upgrade
CPICHPower
Add site
Example Process3G Simulation Based Approach
Coverage
Loaded network
• Increased scope for optimisation• Allows capacity to be quantified and so capacity upgrade solutions
can be studied
• Figure below represents one example
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Tune
Validate
Validated Network
Soft HandoverOverhead
Realistic trafficprofiles
Include HSDPA
Increase sectorisation
Incr. BTS tx power
Add carrier
Capacity
3G Simulation Based Approach
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• The Common Pilot Channel (CPICH) is used by UE for: – synchronisation and channel estimation
– handover and cell re-selection decisions
• CPICH Measurements are based upon RSCP and Ec/Io
– RSCP is an absolute power measurenet
– Ec/Io = RSCP/RSSI, and does not account for orthogonality
• CPICH Ec/Io and RSCP coverage must be sufficient
– CPICH Ec/Io affected by cell load
3G Simulation Based Approach
CPICH Optimisation
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• typ ca y ass gne o t e tota own n transm t power capa ty
– ignoring intercell interference, this results in an Ec/Io of -10 dB when cell is fullyloaded
– Intercell interference will further decrease this value
• Potential for limited CPICH tuning, e.g. if neighbouring cells have MHA and verylarge differences in their cable losses
• If CPICH are tuned then important to ensure soft handover balance ismaintained
• RF optimisation should be completed prior to parameter optimisation
3G Simulation Based Approach
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Ec/Io ArrayC/I Array
3G Simulation Based Approach
Example CPICH Ec/Io Array
•Similar to the C/I array generated by the path loss approach
• Areas of poor CPICH Ec/Io correspond to areas of poor C/I
• Live network minimum requirement for cell selection is typically -18 dB
• RRC Connection establishment success rate is poor at -18 dB
• Example planning minimum requirement is -15 dB when network is loaded
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3G Simulation Based Approach
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RSCP Array
pp
Example CPICH RSCP Array
• Provides a measure of link loss, i.e. linkloss = CPICH transmit power – CPICHRSCP
• Live network minimum requirement forcell selection is typically -115 dBm
• UE receiver thermal noise is typically -
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100 m an so an o -115
corresponds to an Ec/Io of -15 dB whenin thermal noise limited scenarios
• In RRC connected mode, inter-system
handover can be triggered at higherCPICH RSCP and Ec/Io
3G Simulation Based Approach
S f H d O i i i
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pp
Soft Handover Optimisation
• Soft handover - UE is connected to multiple Node B
• Softer handover - UE is connected to multiple cells belonging to same Node B
• Soft and Softer handover generates overheads
– Soft handover overhead - transmit power, Node B baseband processing, Iub, RNC
– Softer handover overhead - transmit power
• Overhead must be sufficient to ensure reliable handover and maintain cell
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• Total Overhead should not exceed 40 %
RF optimisation should be completed prior to parameter optimisation
3G Simulation Based Approach
E l A ti S t Si A (I)
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Active set size (3 dB Window Add) Active set size (4 dB Window Add)
Example Active Set Size Arrays (I)
• Impact of addition window
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3G Simulation Based Approach
E l A ti S t Si A (II)
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Active set size (with fading) Active set size (no fading)
Example Active Set Size Arrays (II)
• Slow fading standard deviation and correlation factor has impact uponactive set size
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C t t
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Content
• Site selection
• Coverage and interference planning – Pathloss based approach
– 3G Simulation based Approach
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– p ann ng
– HSUPA planning
• Capacity planning
• Coverage and capacity improvement
HSDPA Radio Network Planning Process
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• Existing radio network planning process can be applied to HSDPA
• Focus continues to be:
– Coverage
– Dominance (inter-cell interference) – Size of best server areas
• Link budgets should be completed for HSDPA
• Macrocell deployment strategy likely to continue to be based upon R99 link
HSDPA Radio Network Planning Process
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budget analysis
• Indoor solutions and specific traffic hotspots may be planned based uponHSDPA link budgets
• Planning tool can be used to generate an expectation of HSDPA throughput
• HSDPA supported by NetAct Planner – HSDPA throughput results can be
generated
HSDPA in NetAct Planner
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Eb/No speed offsets
Bearer Coding rate Eb/No 0-3 km/h 50 km/h 120 km/h
QPSK_1_38 QPSK_38 0.82 5.19 0.33 -0.03
QPSK_2_36 QPSK_36 0.57 5.18 0.32 -0.02
QPSK_3_36 QPSK_36 0.57 5.18 0.32 -0.02
Modulation
Number of Codes
• NetAct Planner uses a look-up table to define the relationship between Eb/No andThroughput
• Bit rate determined by modulation, number of codes and coding rate, e.g. QPSK_5_64corresponds to a bit rate of: (3.84/SF16) * 0.64 coding rate * 2 bits per symbol * 5 codes= 1.536 Mbps
HSDPA in NetAct Planner
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QPSK_4_36 QPSK_36 0.57 5.18 0.32 -0.02
QPSK_5_36 QPSK_36 0.57 5.18 0.32 -0.02QPSK_5_43 QPSK_43 1.39 5.21 0.36 -0.04
QPSK_5_50 QPSK_50 2.34 5.15 0.43 0.06
QPSK_5_57 QPSK_57 3.31 4.98 0.52 0.37
QPSK_5_64 QPSK_64 4.61 4.58 0.67 1.08
QPSK_5_78 QPSK_78 7.88 3.08 1.08 3.84
16QAM_5_46 16QAM_46 9.52 0.00 100.00 100.00
16QAM_5_50 16QAM_50 9.96 0.00 100.00 100.00
16QAM_5_57 16QAM_57 10.92 0.00 100.00 100.00
16QAM_5_64 16QAM_64 11.72 0.00 100.00 100.00
16QAM_5_71 16QAM_71 12.59 0.00 100.00 100.00
16QAM_5_74 16QAM_74 13.05 0.00 100.00 100.00
Coding Rate
• 16QAM Eb/No difficultto achieve with loworthogonality
• Requirement to havehigher orthogonalityclose to serving cell
HSUPA Radio Network Planning Process
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• Existing radio network planning process can be applied to HSUPA
• Focus continues to be:
– Coverage
– Dominance (inter-cell interference)
– Size of best server areas
• Link b d e s sho ld be com le ed for HSUPA
HSUPA Radio Network Planning Process
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• Macrocell deployment strategy likely to continue to be based uponR99 link budget analysis
• Indoor solutions and specific traffic hotspots may be plannedbased upon HSDPA and HSUPA link budgets
• Dimensioning tools can be used to generate an expectation ofHSUPA throughput
Content
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Content
• Site selection
• Coverage and interference planning
•
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– Downlink capacity – Uplink capacity
• Coverage and capacity improvement
Capacity planning
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Capacity planning
• Capacity planning is based on – Number of coverage sites – Needed features – Possible micro, indoor and hotspot site implementation
• Capacity planning is commonly trade off: – Increased capacity with macro layer means lower cell ranges – Increased coverage within macro layer means lower capacity
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• HSDPA implementation brings some new challenges – When using shared carrier with HSPA, capacity is shared between R99 and HSPAservices
– In order to guarantee high HSPA service availability then dedicated HSPA carriershould be used. Thus Capacity in the downlink is allocated for HSDPA
– In uplink the capacity needs to be shared between R99 UL DCH and HSUPA also
with dedicated carrier
• Capacity planning follows dimensioning results, but in detailed capacity planningthe sites can and might be needed to estimate per site method – This means that one site at the time is evaluated from the point of capacity
Coverage versus Capacity
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Coverage versus Capacity
Coverage and capacity are noticed together
• Higher capacity tolerance means lower cell range
• Higher cell range means lower capacity
?
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Load
?
Capacity limitationCoverage limitation
Capacity and coverage planning
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Capacity and coverage planning1. Coverage and interference estimation, which
notices possible limiting services
• R99 UL service(s)• HSDPA with selected cell edge throughput• HSUPA with selected cell edge throughput• Initially with max. load
Planning threshold can be utilised to illustratedifferent service availability and coverage Number of sites for coverage
2. Cell loading and throughput estimation withinca acit evaluation
Coverage and interference estimation
Cell loading and capacityestimation
Add
Output numberof Node Bs
Decrease max Decrease cell
Capacity and coverage planning
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CoverageLimited
• Cell load Initial load• DL power Max. power• HSPA throughput Minimum throughput Feature selection for HSPA
3. Coverage and capacity comparison
• Service availability• Coverage availability• Capacity availability Not sufficient coverage (coverage limited),
decrease loading or add new sites Not enough capacity (capacity limited), add carrier
or lower cell range/new sites
arr er
Comparison of number ofcoverage sites vs. capacity
requirement
Coverage and capacity matchingTotal number of sites
system load/new sites
Acceptable
CapacityLimited
ra us new s tes
Configuration planning
Capacity and coverage planning
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Capacity and coverage planning
Coverage limited scenario• Scenario is based on wrong estimation of either capacity or too less number of sites
– Decreasing system loading can be utilised to accommodate less users in one cell
– Adding more sites to overcome coverage limitation
• Lower increase in generated interference floor greater cell range more users in eachcell greater actual system loading.
Capacity limited scenario
• Capacity demand is higher than what can be provided by an initial number of Node Bs,
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– Maximum power or loading is exceeded, no services available – HSPA throughput (UL or DL) is lower than minimum throughput
• Cell capacity must be increased or the cell size decreased, or by adding additional carriers
• Reduced cell range fewer users loading the cell – Cell range decreasing commonly impacts on number of sites
• Note: Capacity can also be increased with features
Coverage and Capacity planning are iteratively madetogether with Site selection and Configuration planning
UMTS Network Configuration for HSDPA Support
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Capacity planning setup and simulation
UMTS Network Configuration for HSDPA Support
• Capacity planning can be done also with NetAct Planner – Much more complex and time consuming
• Next the setup for capacity planning in NetAct Planner
Coverage planning and optimisation
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• HSDPA/HSUPA bearers
• HSDPA coding rates
• Bit rates
• Eb/No target
• HSUPA Power control and
Soft handover parameters
Define HSPA services
• Packet services
• HSDPA support
• HSUPA SHO
• QoS parameters
Create HSPA terminals
• Set terminal parameters• UMTS support
• HSDPA support
• HSUPA support
• Associate bearers with services and them with terminal types
• Spread the terminals
Create UMTS cells and
set HSPA parameters• Assign carrier
• Set cell parameters
• Set power parameters forHSDPA
• Set Noise rise for HSUPA
Run static analysis or Monte Carlo simulator
View array outputs and reports
Validate capacity planning
HSUPA simulation output
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HSUPA simulation output
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• Results can show an estimation of
available cell throughput or forexample Service availability
Downlink Capacity
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• Downlink is shared among R99 services and HSDPA traffic and control as well aswith common control and associated channels
• Similarly other main issues which impacts downlink capacity are:
▪ Cell max power, can be set and controlled with parameters
▪ Power for CCCH, can be tuned also▪ Orthogonality
▪ HS-SCCH power,this is art of the HSDPA total ower
p y
High orthogonality , lowinterferencee.g. micro, clear dominance
Macro cell closer celledge, lower quality
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– HSDPA feature selection:
▪ Scheduler type: shared or cell specific
▪ Round robin or proportional fair
▪ Number of codes HS-DPSCH
Uplink Capacity
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p p y
• Uplink is shared between R99 and HSUPA, thus capacity is impacted by eachother
• Main issues impacting to uplink capacity are
– Little I
– Power rise
– Eb/Nos
– Available noise rise, can be set in parameters
– Configuration and number of carriers
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Issues Affecting Capacity
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g p y
• Mixture of services makes capacity planning more complex
– Real Time Voice and Data services in Erlang
– Non-Real Time Data services in kbps
• Load calculation is required especially in UL to determine the ULinterference (Noise Rise)
• Different Services have different Eb/No re uirements
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• Traffic is asymmetric between DL and UL• Different kinds of interferences have to be taken into account
(orthogonality factor α, little i, etc.)
• Different Node B maximum Tx power should be considered
• Speed of the Users differs
Values used in the following examples
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g p64/128/384 kbps Data
BTS TX power 43 dBm
MS TX power 21 dBm
E c /I o -16.5 dB
BTS E b /N o 2/1.5/1
MS E b /N o 6/5.5/5
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Other to own cell
interference ratio i
0.6
Orthogonality 0.6
Channel profile ITU Vehicular
A, 3 km/h
MS speed 3 km/h
MS/BTS NF 8 dB / 4 dB
Antenna gain 16 dBi
Throughput for Different Services
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160
165
170
i o n l o s s ( d B )
Macro cell, P(DL) = 43 dBm, P(UL) = 21 dBm
3 km/h 64.0 kbps3 km/h 128.0 kbps
3 km/h 384.0 kbps
64/128/384 kbps Data
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0 100 200 300 400 500 600 700 800 900 1000140
145
150
155
DL throughput in kbps
M a x i m u m p
r o p a g a
Max capacity
Effect of little i
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160
165
170
l o s s ( d B )
128 kbps
i = 0.2i = 0.4
i = 0.6
i = 0.8
• Doubling of the "little i" will cause 70 % throughput decrease of theoriginal value
• In the real environment we willnever have separated cell.Therefore in the load factorcalculation the other cellinterferences should be taken
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0 500 1000 1500140
145
150
155
DL throughput in kbps
M a x
i m u m p
r o p a g a
t i o
.
• This can be introduced bymeans of the little i value,which describes how much twocells overlap (biggeroverlapping more inter-cell
interferences)• LSERV: Pathloss to serving
cell, Ln : pathloss to neigbourn, M overlapping cells
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Module Contents
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• Site selection
•Coverage and interference planning
• Capacity planning
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• Coverage and capacity improvement – Coverage vs. capacity
– Coverage Improvements Alternatives
– Capacity Improvements Alternatives
– Antenna tilting, design and improvement
Coverage versus Capacity
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How to improve the
How to improve the coverage? Uplink
?
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Load
?
Module Contents
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• Coverage vs. capacity
• Coverage Improvements Alternatives
• Capacity Improvements Alternatives
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• Antenna tilting, design and improvement
Module Contents
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• Site selection
• Coverage and interference planning
• Capacity planning
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• Coverage and capacity improvement – Coverage vs. capacity
– Coverage Improvements Alternatives
– Capacity Improvements Alternatives
– Antenna tilting, design and improvement
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Impact of sensitivity (MHA)
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The use of MHAs brings• UL coverage gain (important for early phase of a network)
• capacity gain for low-loaded networks (keeping the cell size constant)
DL Path loss155
160
s
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NRT Data 384k UL Path loss
NRT Data 384k UL Path loss, 1dB improvementNRT Data 384k UL Path loss, 2dB improvement
145
150
0 5 10 15 20 25 30 35 40 45
UL Load
P a t h
l o
Extended cell feature
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• Extended cell feature reserves higher amount of BTS base bandprocessing resources for RACH processing
• Default 20 km cell range can be extended in 20 km steps to 60 km
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– Coastal regions – Mountain regions
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Capacity Improvement Alternatives
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• 6 sectored site
– ~ 60-80% capacity gain compared to 3sectors (not 100% due to inter-sectorinterference)
• More carriers (frequencies) persector
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– power splitting gives roughly 60% morecapacity
– downlink can be dedicated for HSDPA
• Advanced scheduling and receiver
structures – better resource usage
– improved orthogonality
6 sectored site
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• More sectors increase the capacity of the WCDMA network
• Sectorisation gain in capacity is more efficient than in GSM whereit is limited by the number of frequencies available and frequency
planning (WCDMA freq reuse=1)• Going from 3 to 6 sectors, the capacity gain is not 100% due to the
increased interference.
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• To achieve a higher capacity gain, it is crucial to control the amountof interference and the soft handover overhead. If the overlappingis to big, to much interference and a higher soft handover overhead
occurs.
Capacity Upgrade with carrier addition
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• No changes to antennas or antenna cables
• No HW changes in Flexi BTS
300
350
r s i t e
take 2nd frequency
Cost/Erlang isdecreasing withca acit u rade
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0
50
100
150
200
250
S
p e e c h E r l a n g p
20W 2x10W + 2x10W
DL power per sector
into use
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Advanced scheduling and receiver structures
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• Proportional fair scheduling in HSDPA improves cell throughput byallocating more resources to users when in good RF conditions
• Equaliser in receiver cancels own cell interference
• Dual antenna diversity improves fading conditions
+100 %
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+20 %
+60 %
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Effect of tilting on coverage and capacity
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• Tilting can be used to improve both coverage and capacity – Coverage improvement due to higher signal level on the cell dominance area
– Capacity improvement due to decreased level of interference outside celldominance area Lower little i
• Antenna tilting means adjustment of antenna radiation pattern invertical direction on the plane of main beam
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• Antenna radiation pattern can be tilted by mechanical installation
change or by adjustment of electrical phasing of the antennaelements
Effect of tilting on the signal level
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RECEIVED SIGNAL LEVEL
-70.00
-60.00
-50.00
-40.00
l e v e l
RX level
RX level ant
RX level ant tilt
Coverage threshold out
Coverage thres hold in
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-100.00
-90.00
-80.00
0 . 1 0
0 . 1 2
0 . 1 5
0 . 1 8
0 . 2 2
0 . 2 7
0 . 3 2
0 . 3 9
0 . 4 8
0 . 5 8
0 . 7 0
0 . 8 6
1 . 0 4
1 . 2 6
1 . 5 4
1 . 8 7
2 . 2 7
2 . 7 6
3 . 3 5
4 . 0 8
4 . 9 6
6 . 0 2
Distance
R X
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Pilot level without and with tilt
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8 electricalWithout tilt
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Tilting angle from geometry
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Example tilt angle
• 6 degree vertical beamwidth
• Cell range 200 m 600 m
14
16
.
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4
6
8
10
12
ν geo h 200, 6,( )
ν geo h 300, 6,( )
ν geo h 400, 6,( )
ν geo h 600, 6,( )
h
Antenna tilting Optimisation – Example
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• WCDMA 1900 Network
• Identified places for optimisation
– Urban area: high other-cell interference
– Rural area: a few sites collecting a lot of interference
• Optimisation approaches
– Antenna down tiltin
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– Antenna lowering
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Antenna tilting Optimisation – ExampleUrban Area
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• 16 sites, 48 cells
• All 3-sector sites
• similar height
• Area 10 km x 12 km
• On average 7 km2 per site
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• erra n: at w t out waters
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