ce-dimensioning-umts
TRANSCRIPT
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Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
WCDMA Radio
Network Capacity
Planning
Page1Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Foreword
WCDMA is a self-interference system
WCDMA system capacity is closely related to coverage
WCDMA network capacity has the “soft capacity” feature
The WCDMA network capacity restriction factors in the radio network
part include the following:
Uplink interference
Downlink power
Downlink channel code resources (OVSF)
Channel element (CE)
Page2Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Objectives
Upon completion of this course, you will be able to:
Grasp the parameters of 3G traffic model
Understand the factors that restrict the WCDMA network capacity
Understand the methods and procedures of estimating multi-
service capacity
Understand the key technologies for enhancing network capacity
Page3Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
Page4Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
Page5Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
1.1 Overview of traffic model
1.2 CS traffic model
1.3 PS traffic model
Page6Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
QoS Type
Data integrity should be maintained. Small delay
restriction, requiring correct transmission
Request-response mode, data integrity must be
maintained. High requirements on error tolerance,
low requirements on time delay tolerance
Typically unidirectional services, high requirements
on error tolerance, high requirements on data rate
It is necessary to maintain the time relationship
between the information entities in the stream.
Small time delay tolerance, requiring data rate
symmetry
Background
download of
Background
Web page
browse,
network game
Interactive
Non re
al-tim
e ca
tegory
Streaming
multimediaStreaming
Voice service,
videophoneConversational
Real-tim
e ca
tegory
Page7Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Traffic Model
System Configuration
User Behaviour
Service Pattern
Traffic Model Results
Page8Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
The Contents of Traffic Model
Service pattern refers to the service features
User behaviour refers to the conduct of people in using the
service
Page9Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Typical Service Features Description
Typical service features include the following feature
parameters:
User type (indoor ,outdoor, vehicle)
User’s average moving speed
Service Type
Uplink and downlink service rates
Spreading factor
Time delay requirements of the service
Page10Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
1.1 Overview of traffic model
1.2 CS traffic model
1.3 PS traffic model
Page11Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CS Traffic Model
Voice service is a typical CS services. Voice data arrival conforms to
the Poisson distribution. Its time interval conforms to the exponent
distribution
Key parameters of the model
Penetration rate
BHCA: busy-hour call attempts
Mean call duration (s)
Activity factor
Mean rate of service (kbps)
Page12Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CS Traffic Model Parameters
Mean busy-hour traffic (Erlang) per user = BHCA × mean call duration
/3600
Mean busy hour traffic volume per user (kbit) = BHCA × mean call
duration × activity factor × mean rate
Mean busy hour throughput per user (bps) = mean busy hour traffic
volume per user × 1000/3600
Page13Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
1.1 Overview of traffic model
1.2 CS traffic model
1.3 PS traffic model
Page14Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS Traffic Model
Data Burst Data Burst Data Burst
Packet Call
Session
Packet Call Packet Call
Downloading Downloading
Active Dormant Dormant Active
Page15Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS Traffic Model Parameters
Traffic Model
Packet Call Num/Session
Packet Num/Packet Call
Packet Size (bytes)
BLER
Typical Bear Rate (kbps)
Reading Time (sec)
Page16Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Parameter Determining
The basic parameters in the traffic model are determined in the
following ways:
Obtain numerous basic parameter sample data from the existing
network
Obtain the probability distribution of the parameters through
processing of the sample data
Take the distribution most proximate to the standard probability as
the corresponding parameter distribution through comparison
with the standard distribution function
Page17Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS User Behaviour Parameters
User Behaviour
User Distribution
(High, Medium, Low end)
BHSA
Penetration Rate
Page18Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS User Behaviour Parameters
Penetration Rate
BHSA
The times of single-user busy hour sessions of this service
User Distribution (High, Medium, Low end)
The users are divided into high-end, mid-end and low-end users.
Page19Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS Traffic Model Parameters
Session Traffic Volume (Byte): Average traffic of single session of the
service
Busy hour throughput per user (Kb):
PS throughput equivalent Erlang formula (Erlang)
)Session
NumPacketCall()
PacketCall
PacketNum()PacketSize(fficVolumeSessionTra ××=
1000/8fficVolumeSessionTraBHSAuser/roughputBusyHourTh ××=
)3600
(_ ∑ ⋅⋅⋅⋅=
ctorActivityFaredRateTypicalBea
nEviromentApplicatioderTypicalroughputUnBusyHourThgRatePenetratinUserOfDiffrentPercentageErlangData
Page20Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
PS Traffic Model Parameters
Data Transmission time (s): The time in a single session of service for
purpose of transmitting data.
Holding Time (s): Average duration of a single session of service
Activity factor:
eHoldingTim
issionTimeDataTransmorActiveFact =
eTypicalRatBLER
fficVolumeSessionTraissionTimeDataTransm
1
1
1000/8 ×−
×=
issionTimeDataTransmadingTimeRe)1Session
lNumPackketCal(eHoldingTim +×−=
Page21Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
Page22Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Basic Principles
In the WCDMA system, all the cells use the same frequency,
which is conducive to improving the WCDMA system capacity.
However, for reason of co-frequency multiplexing, the system
incurs interference between users. This multi-access
interference restricts the capacity in turn.
The radio system capacity is decided by uplink and downlink.
When planning the capacity, we must analyze from both uplink
and downlink perspectives.
Page23Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
2. Interference Analysis
2.1 Uplink Interference Analysis
2.2 Downlink Interference Analysis
Page24Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
Uplink interference analysis is based on the following formula:
NotherownTOT PIII ++=
Page25Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
Receiver noise floor: PN
For Huawei NodeB, the typical value is -106.4dBm/3.84MHZ
NFWTKPN += )**log(10
Page26Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
: Interference from users of this cell
Interference that every user must overcome is :
is the receiving power of the user j , is UL activity factor
Under the ideal power control :
Hence:
The interference from users of this cell is the sum of power of all
the users arriving at the receiver:
ownI
jtotal PI −
jρjP( )
jjjTOT
jNoEb
R
W
PI
PjAvg
ρ1
10 10
/ _
⋅⋅−
=
( )jj
NoEb
TOTj
R
WI
P
jAvg ρ1
10
11
10
/ _⋅⋅+
=
∑=N
jown PI1
Page27Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
:Interference from users of adjacent cell
The interference from users of adjacent cell is difficult to analyze
theoretically, because it is related to user distribution, cell layout,
and antenna direction diagram.
Adjacent cell interference factor:
own
other
I
If =
otherI
Page28Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
( )( )
N
N
jjNoEb
TOTNotherownTOT P
R
WI
fPIII
jAvg
+⋅⋅+
+=++= ∑1
10
/
1
10
11
1
_ ρ
( )jj
NoEb
j
R
WL
jAvg ρ1
10
11
1
10
/ _⋅⋅+
=
( ) N
N
jTOTTOT PLfII +⋅+⋅= ∑1
1
Define:
Then:
( ) ∑⋅+−⋅= N
j
NTOT
LfPI
1
11
1Obtain:
Page29Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
Suppose that:
All the users are 12.2 kbps voice users, Eb/NoAvg = 5dB
Voice activity factor = 0.67
Adjacent cell interference factor f=0.55
jρ
Page30Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
According to the above mentioned relationship, the noise will rise:
ULN
jN
TOT
LfP
INoiseRise
η−=
+−==
∑1
1
)1(1
1
1
Page31Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis
Define the uplink load factor for one user:
Define the uplink load factor for the cell:
( ) ( )( )
∑∑⋅⋅+
×+=×+=N
jjEbvsNo
N
jUL
R
WfLf
jAvg
1
10
1 1
10
11
111
_ ρ
η
( ) ( )( )
jjEbvsNo
jj
R
WfLf
jAvg ρ
η1
10
11
111
10_
⋅⋅+×+=×+=
Page32Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Uplink Interference Analysis Limitation
The above mentioned theoretic analysis uses the following simplifying
explicitly or implicitly:
No consideration of the influence of soft handover
No consideration of the influence of AMRC and hybrid service
Ideal power control assumption
Assume that the users are distributed evenly, and the adjacent cell
interference is constant
Considering the above factors, the system simulation is a more
accurate method:
Static simulation: Monte_Carlo method
Dynamic simulation
Page33Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
2. Interference Analysis
2.1 Uplink Interference Analysis
2.2 Downlink Interference Analysis
Page34Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
Downlink interference analysis is based on the following
formula:
NotherownTOT PIII ++=
Page35Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
Receiver noise floor: PN
For commercial UE, the typical value is -101dBm/3.84MHZ
NFWTKPN += )**log(10
Page36Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
:Interference from downlink signal of this cell
The downlink users are identified with the mutually orthogonal
OVSF codes. In the static propagation conditions without multi-
path, no mutual interference exists.
In case of multi-path propagation, certain energy will be detected
by the RAKE receiver, and become interference signals. We define
the non-orthogonal factor to describe this phenomenon:
ownI
TXjown PI ×= α)(
α
Page37Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
: Interference from the downlink signal of adjacent cell
The transmitting signal of the adjacent cell NodeB will cause
interference to the users in the current cell. Since the scrambling
codes of users are different, such interference is non-orthogonal
Hence we obtain:
otherI
TXjother PfI ×=)(
Page38Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
Ec/Io for User j is:
10/)(10/
10/
10/
10)(1010
)(10)(
NN
PCLTX
j
PCL
TX
CL
j
j Pf
P
Pf
P
Io
Ec++×+
=+×+=
αα
Page39Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
Under the ideal power control:
Then we can get:
jjj
NoEb
R
W
Io
Ecj
ρ1
)(10 10
)/(
××=
j
TX
PCL
TXj
NoEb
j RW
PfP
P
Nj
/
)10
(1010/)(
10
)/( +
++×××=
αρ
Page40Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
Define the downlink load factor for user j:
Define the downlink load factor for the cell:
maxP
PTXDL =η
j
TX
PCLTX
j
NoEb
jj RW
Pf
P
P
P
P
Nj
/
)10
(1010/)(
max
10
)/(
max
+
++×××==
αρη
Page41Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Downlink Interference Analysis
According to the above mentioned relationship, the noise will rise:
( )N
DLMax
N
otherownN
N
total
P
CLPfNo
P
IIP
P
INoiseRise
/ηα ××++=++==
Page42Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
Page43Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Capacity Dimensioning FlowDimensioning Start
Assumed Subscribers
CS Peak Cell Load(MDE)
YesYesYesYes
NoNoNoNo
CS Average Cell Load PS Average Cell Load
=Target Cell Load?
Dimensioning End
Total Cell Load
Load per Connection of R99
HSPA Cell Load
LoadLoadLoad,LoadmaxLoad HSUPAavgPSavgCSpeakCSUL_totalcell ++= −−−−
CCHHSDPAavgPSavgCSpeakCSDL_totalcell LoadLoadLoadLoad,LoadmaxLoad +++= −−−−
Page44Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
3. Capacity Dimensioning
3.1 R99 Capacity Dimensioning
3.2 HSDPA Dimensioning
Page45Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Capacity Dimensioning Differences
GSM
Hard blocking
Capacity --- hardware dependent
Single service
Single GoS requirement
Capacity dimensioning ---ErlangB
WCDMA
Soft blocking
Capacity --- interference dependent
Multi services (CS&PS)
Respective quality requirements of
each service
Capacity dimensioning ---
Multidimensional ErlangB
Page46Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Multidimensional ElangB Principle (1)
Multidimensional ErlangB model is a Stochastic Knapsack Problem.
“Knapsack” means a system with fixed capacity, various objects arrive at the
knapsack randomly and the states of multi-objects in the knapsack are
stochastic process.
Then when various objects attempt to access in this system, how much is the
blocking probability of every object?
K classes of services
Blockedcalls
Callsarrival
Callscompletion
Fixed capaciy
Page47Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Multidimensional ElangB Principle (2)
Case Study: Two dimensional ErlangB Model
The size of service 2 is twice as that of service 1
C is the fixed capacity
n2
Blocking States of Class 1
C
C-b1
n1
n2
Blocking States of Class 2
C
C-b2
n11 2 3 4 5 6
1
2
3
1 2 3 4 5 6
1
2
3
n2
States Space
C
n11 2 3 4 5 6
1
2
3
Ω
Page48Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CS Capacity Dimensioning (1)
CS services
Real time
GoS requirements
Multidimensional ErlangB
Resource sharing
Meeting GoS requirements
Capacity
Blocking probability Cell Loading
?MDE
Channels......
AMR12.2k
CS64k
Multidimensional ErlangB Model
Page49Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CS Capacity Dimensioning (2)
Comparison between ErlangB and Multidimensional ErlangB
Multidimensional ErlangB - Resources shared
High Utilization of resources
ErlangB - Partitioning Resources
Low Utilization of resources
Page50Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Best Effort for Packet Services
PS Services:
Best Effort
Retransmission
Burst Traffic
PS will use the spare load apart from that used by CS
Total Load
CS Peak Load
CS Average Load
Load occupied by CS
Load occupied by PS
Load
Time
Page51Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Capacity Dimensioning
Average load:
Peak load:
Query the peak connection through ErlangB table
jjj LoadFactorTrafficdAverageLoa ×=
∑=N
jTotal dAverageLoadAverageLoa1
jjj LoadFactorPeakConnPeakLoad ×=
)( jTotal PeakLoadMDEPeakLoad =
Page52Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (1)
Common parameters:
Maximum NodeB transmission power: 20W
Subscriber number per Cell: 800
Overhead of SHO (including softer handover): 40%
Retransmission of PS is 5%
R99 PS traffic burst: 20%
Activity factor of PS is 0.9
Power allocation for CCH is 20% in downlink
Page53Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (2)
Traffic Model, GoS and load factors:
4.21%
4.99%
1.18%
Load Factors (UL)
0
0
50
0.001
0.02
UL
N/A0PS384 (Kbit)
5.94%N/A100PS128k (Kbit)
2.96%N/A100PS64k (Kbit)
4.65%2%0.001CS64k (Erl)
0.83%2%0.02AMR12.2k (Erl)
Load Factors (DL)GoS DL
Page54Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (2)
Uplink Average Load Downlink Average Load
AMR12.2k:
0.02*800*1.18%=18.88%
CS64k:
0.001*800*4.99%=3.99%
PS64k:
50*800*(1+5%)*(1+20%)/0.9/64/3600
*4.21%=1.02%
CS&PS uplink average load:
18.88%+3.99%+1.02%=23.89%
AMR12.2k:
0.02*800*(1+40%)*0.83%=18.59%
CS64k:
0.001*800 *(1+40%)* 4.65%=5.2%
PS64k:
100*800*(1+5%)*(1+40%)*(1+20%)/0.9/
64/3600*2.96%=2.01%
PS128k: 2.02%
CS&PS downlink average load:
18.59%+5.2%+2.01%+2.02%=27.82%
Page55Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (3)
Uplink Peak Load Downlink Peak Load
AMR12.2k:
Traffic=0.02*800=16Erl
Peak Conn= ErlangB(16, 2%)=24
Peak Load=24*1.18%=28.32%
CS64k:
Traffic=0.001*800=0.8Erl
Peak Conn= ErlangB(0.8, 2%)=4
Peak Load=4*4.99%=19.96%
CS Peak Load: 42.53%
AMR12.2k:
Traffic=0.02*800*(1+40%)=22.4Erl
Peak Conn= ErlangB(22.4, 2%)=31
Peak Load=31*0.83%=25.73%
CS64k:
Traffic=0.001*800 *(1+40%)=1.12Erl
Peak Conn= ErlangB(1.12, 2%)=5
Peak Load=5*4.65%=23.25%
CS Peak Load: 42.33%
Page56Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
3. Capacity Dimensioning
3.1 R99 Capacity Dimensioning
3.2 HSDPA Dimensioning
Page57Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
HSDPA Capacity Dimensioning (1)
HSDPA Capacity Dimensioning
The purpose is to obtain the required HSDPA power to satisfy the
cell average throughput.
HS-DSCH will use the spare power apart from that of R99
Dedicated channels (power controlled)
Common channels
Power usage with dedicated channels channels
t
Unused power
Power
HS-DSCH with dynamic power allocationt
Dedicated channels (power controlled)
Common channels
HS-DSCH
Power3GPP Release 99 3GPP Release 5
Pmax-R99
Page58Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
HSDPA Capacity Dimensioning (2)
Capacity Based on Simulation
to simulate Ior/Ioc distribution in the
network with certain cell range
to simulate cell throughput distribution
based on Ec/Io distribution in the cell
Dimensioning Procedure
0.00%
0.50%
1.00%
1.50%
2.00%
2.50%
3.00%
3.50%
4.00%
4.22
2.98
2.04
1.39
0.96
0.66
0.45
0.31
0.21
0.14
0.1
0.07
0.05
0.03
0.02
0.01
0.01
0.01 0 0 0 0
Ioc/Ior
Distribution probability
DU Cell coverage Radius=300m
Conditions of Simulation
Channel model-TU3
5 codes
Simulation
Ec/Io distribution
Ior/Ioc distribution
Cell coverageradius
Cell averagethroughput
Ec/Io =>throughput
HSDPA PowerAllocation
Page59Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study
Input parameters
Subscriber number per cell: 800
HSDPA Traffic model: 1200kbit per subs
HSDPA Retransmission rate: 10%
The power for HS-SCCH: 5%
Cell radius: 1km
HSDPA cell average throughput:
The needed power for HS-DSCH including that for HS-SCCH is 18.38%
kbps293%)01(1*3600
1200*800 =+
Page60Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study
Uplink Total Load of the Cell :
CS Peak Load: 42.53%
CS&PS average load: 23.89%
Downlink Total Load of the Cell :
CS Peak Load: 42.33%
CS&PS average load: 27.82%
HSDPA load is 18.38%
CCH load: 20%
66.20%%. MAX
LoadLoadLoadLoadLoadLoad CCHHSDPAavgPSavgCSpeakCSDLtotalcell
=++=
+++= −−−−
%20%)38.188227%,33.42(
,max_
%4%. MAX
LoadLoadLoadLoad avgPSavgCSpeakCSULtotalcell
53.2)8923%,53.42(
,max_
==
+= −−−−
Page61Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
Page62Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Overview
Definition of a CE:
A Channel Element is the base band resource required in the Node-B to
provide capacity for one voice channel, including control plane signaling,
compressed mode, transmit diversity and softer handover.
NodeB Channel Element Capacity
One BBU3900
UL 1,536 CEs with full configuration
DL 1,536 CEs with full configuration
Page63Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Huawei Channel Elements Features
Channel Elements pooled in one NodeB
No need extra R99 CE resource for CCH
reserved CE resource for CCH
No need extra CE resource for TX diversity
No need extra CE resource for Compressed Mode
reserved resources for Compressed Mode
No need extra CE resource for Softer HO
HSDPA does not occupy R99 CE resource
separate module for HSDPA
HSUPA shares CE resource with R99 services
No additional CE resource for AGCH RGCH and HICH
Page64Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CE Dimensioning Flow
),( _______ HSUPAULAULPSULAverageCSULPeakCSTotalUL CECECECECEMaxCE +++=
),( _______ DLADLPSDLAverageCSDLPeakCSTotalDL CECECECEMaxCE ++=
Dimensioning Start
CS Average CE
Channel Elements per NodeB
Dimensioning End
--Subscribers per NodeB--Traffic model
PS Average CECS Peak CE (MDE) HSPA CE
Page65Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CE Mappings for R99 Bearers
8 10 PS384k
4 5 PS144k
4 5 PS128k
2 3 PS64k
2 3 CS64k
1 1 AMR12.2k
DownlinkUplinkBearer
Channel Elements Mapping for R99 Bearers
Page66Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
R99 CE Dimensioning Principle
Peak CE occupied by CS can be obtained through multidimensional ErlangB
algorithm
Average CE needed by CS and PS depend on the traffic of each service, i.e.
Average CE = Traffic * CE Factor
CEResources...
...
AMR12.2k
CS64k
Multdimensional ErlangB Model
Total CE
CS Peak CE
CS Average CE
CE occupied by CS
CE occupied by PSand HSPA
CE
Time
CE resource shared
among each service
Page67Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
HSDPA CE Dimensioning
In uplink, no CE consumption for HS-DPCCH if corresponding UL DCH
channel exists
In uplink, CE consumed by one A-DCH depends on its bearing rate
In downlink, A-DCH is treated as R99 DCH.
No additional CE needed for HS-DSCH and HS-SCCH
One HSDPA link need
one A-DCH in uplink and
downlink respectively
HS-DSCHHS-SCCHHS-DPCCH
Associated Dedicated Channels
Site 1 Site 2
Page68Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
CE Mappings for HSDPA Bearers
1 CE---DL A-DCH (DPCCH)
---3 CEUL A-DCH (DPCCH)
---0 CEHS-DPCCH
0 CE---HSDPA Traffic
DownlinkUplinkTraffic
HSDPA Channel Elements Consumption
Page69Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (1)
Input Parameters
Subscribers number per NodeB: 2000
Overhead of SHO: 30%
R99 PS traffic burst: 20%
Retransmission rate of R99 PS: 5%
PS Channel element utilization rate: 0.7
Average throughput requirement per user of HSDPA: 400kbps
HSDPA traffic burst is 25%
Retransmission rate of HSDPA is 10%
0
0
50
0.001
0.02
UL
N/A1200HSPA (kbit)
N/A80PS128k (kbit)
N/A100PS64k (kbit)
2%0.001CS64k (Erl)
2%0.02AMR12.2k (Erl)
GoS DLTraffic Model
Page70Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
Case Study (2)
Uplink CE Dimensioning Downlink CE Dimensioning
AMR12.2:
Traffic =0.02*2000*(1+30%) = 52Erl
Peak CE =ErlangB(52,0.02)*1= 63 CE
Average CE =52*1=52 CE
CS64:
Traffic =0.001*2000*(1+30%) = 2.6Erl
Peak CE =ErlangB(2.6,0.02)*3 = 21 CE
Average CE =2.6*3=9 CE
Total peak CE for CS: 80CE
Total average CE for CS: 52+9=61CE
AMR12.2:
Traffic =0.02*2000*(1+30%) = 52Erl
Peak CE =ErlangB(52,0.02)*1 = 63CE
Average CE =52*1=52CE
Traffic of VP:
Traffic =0.001*2000*(1+30%) = 2.6Erl
Peak CE =ErlangB(2.6,0.02)*2 =14CE
Average CE =2.6*2=6CE
Total peak CE for CS: 74CE
Total average CE for CS: 52+6=58CE
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Uplink CE Dimensioning Downlink CE Dimensioning
CE for PS64k:
Total CE for R99 PS services:
4CE
4CE5%)(1*20%)(1*30%)(1*3*3600*0.7*64
50*2000 =+++
CE for PS64k:
CE for PS128k:
Total CE for R99 PS services:
4+4=8CE
CE for HSDPA A-DCH:
3CE10%)(1*%)52(1*1*3600*400
1200*2000 =++
4CE5%)(1*20%)(1*30%)(1*2*3600*0.7*64
100*2000 =+++
4CE5%)(1*20%)(1*30%)(1*4*3600*0.7*128
80*2000 =+++
Case Study (3)
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Case Study (4)
Uplink CE Dimensioning Downlink CE Dimensioning
Total CE Total CE
CE MAX
CECE
CEMaxCE
ULAveragePSULAverageCS
ULPeakCSTotalUL
80)461,80(
)
,(
____
___
=+=
+
=
CE 743)858 Max(74,
)CECECE
,CE(MaxCE
DL_ADL_PSDL_Average_CS
DL_Peak_CSTotal_DL
=++=
++
=
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Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. Network Dimensioning Flow
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Network Dimensioning Flow
UL/DL Link Budget
Cell Radius=Min (RUL, RDL)
UL/DL CapacityDimensioning
Satisfy Capacity Requirement?
Capacity Requirement
Adjust Carrier/NodeBNo
Yes
CE Dimensioning
Output NodeB Amount/NodeB Configuration
Coverage Requirement
start
End
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