Owp112020 wcdma radio network capacity dimensioning issue1.22

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Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved.
WCDMA Radio
Network Capacity
Planning

Copyright © 2008 Huawei Technologies Co., Ltd. All rights reserved. Page2
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)
 IUB Bandwidth

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

Contents
1. Traffic Model
2. Interference Analysis
3. Capacity Dimensioning
4. CE Dimensioning
5. IUB Bandwidth Dimensioning
6. Network Dimensioning Flow

Contents
1. Traffic Model
1.1 Overview of traffic model
1.2 CS traffic model
1.3 PS traffic model

QoS Type
Real-timecategory
Conversation
al
It is necessary to maintain the time relationship
between the information entities in the stream.
Small time delay tolerance, requiring data rate
symmetry
Voice service,
videophone
Streaming
Typically unidirectional services, high
requirements on error tolerance, high
requirements on data rate
Streaming
multimedia
Nonreal-timecategory
Interactive
Request-response mode, data integrity must be
maintained. High requirements on error tolerance,
low requirements on time delay tolerance
Web page
browse,
network game
Background
Data integrity should be maintained. Small delay
restriction, requiring correct transmission
Background
download of
Email

Traffic Model
System Configuration
User Behaviour
Service Pattern
Traffic Model
Results

The Contents of Traffic Model
 Service pattern refers to the service features
 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
 User behaviour refers to the conduct of people in using the
service

Contents
1. Traffic Model

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)

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

Contents
1. Traffic Model

PS Traffic Model
Data Burst Data Burst Data Burst
Packet Call
Session
Packet Call Packet Call
Downloading Downloading
Active Dormant Dormant Active

PS Traffic Model Parameters
Traffic Model
Packet Call Num/Session
Packet Num/Packet Call
Packet Size (bytes)
Reading Time (sec)
Typical Bear Rate (kbps)
BLER

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

PS User Behaviour Parameters
User Behaviour
Penetration Rate
BHSA
User Distribution
(High, Medium, Low end)

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.

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
issionTimeDataTransm
ctorActivityFa 
eTypicalRatBLER
fficVolumeSessionTra
issionTimeDataTransm
1
1
1000/8




issionTimeDataTransmadingTimeRe)1
Session
lNumPackketCal
(eHoldingTim 

Contents
1. Traffic Model
4. CE Dimensioning

Basic Principles
 In the WCDMA system, all the cells use the same frequency,
which is conducive to improve 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.

Contents
2.1 Interference Analysis Overview
2.2 Uplink Interference Analysis
2.3 Downlink Interference Analysis

Interference Analysis Overview
 Why do we analyze interference in network dimensioning?
 No matter uplink or downlink dimensioning, the Eb/No
requirement should be met:
 Eb/No = Ec/No × PG
 Eb/No and PG is pre-defined, so we should calculate
expected Ec and No through interference analysis
 The interference increase which is load factor could be
predicted
 The load factor of each service rate is different

Contents

Uplink Interference Analysis
 Uplink interference analysis is based on the following
formula:
NotherownTOT PIII 

 Receiver noise floor: PN
 For Huawei NodeB, the typical value is -106.4dBm/3.84MHZ
NFWTKPN  )**log(10

 : 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 
jjP
 
jjjTOT
j
NoEb
R
W
PI
PjAvg

1
10 10
/ _



 
jj
NoEb
TOT
j
R
W
I
P
jAvg

1
10
1
1
10
/ _



N
jown PI
1

 :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
I
f 
otherI

 
 
N
N
jj
NoEb
TOT
NotherownTOT P
R
W
I
fPIII
jAvg


 1
10
/
1
10
1
1
1
_

 
jj
NoEb
j
R
W
L
jAvg

1
10
1
1
1
10
/ _


  N
N
jTOTTOT PLfII  1
1
Define:
Then:
  
 N
j
NTOT
Lf
PI
1
11
1
Obtain:

 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
j

 According to the above mentioned relationship, the noise will rise:
UL
N
j
N
TOT
Lf
P
I
NoiseRise





1
1
)1(1
1
1

 Define the uplink load factor for one user:
 Define the uplink load factor for the cell:
   
 



N
jj
EbvsNo
N
jUL
R
W
fLf
jAvg
1
10
1
1
10
1
1
1
11
_


   
 
jj
EbvsNo
jj
R
W
fLf
jAvg


1
10
1
1
1
11
10
_



Contents

Downlink Interference Analysis
 Downlink interference analysis is based on the following
formula:
NotherownTOT PIII 

 Receiver noise floor: PN
 For commercial UE, the typical value is -101dBm/3.84MHZ
NFWTKPN  )**log(10

 :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  )(


 : 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 )(

 Ec/Io for User j is:
10/)(
10/
10/
10/
10)(10
10
)(
10)( N
N
PCL
TX
j
P
CL
TX
CL
j
j
Pf
P
Pf
P
Io
Ec








 Under the ideal power control:
 Then we can get:
jj
j
NoEb
R
W
Io
Ecj

1
)(10 10
)/(

j
TX
PCL
TXj
NoEb
j
RW
P
fP
P
Nj
/
)
10
(10
10/)(
10
)/( 




 Define the downlink load factor for user j:
 Define the downlink load factor for the cell:
maxP
PTX
DL 
j
TX
PCL
TX
j
NoEb
j
j
RW
P
f
P
P
P
P
Nj
/
)
10
(10
10/)(
max
10
)/(
max






 According to the above mentioned relationship, the noise will rise:
 
N
DLMax
N
otherownN
N
total
P
CLPfNo
P
IIP
P
I
NoiseRise
/ 




Contents
1. Traffic Model
4. CE Dimensioning

Capacity Dimensioning FlowDimensioning Start
Assumed Subscribers
CS Peak Cell Load
(MDE)
Yes
No
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,Loadmax{Load HSUPAavgPSavgCSpeakCSUL_totalcell  
CCHHSDPAavgPSavgCSpeakCSDL_totalcell Load}LoadLoadLoad,Loadmax{Load  

Contents
3.1 R99 Capacity Dimensioning
3.2 HSDPA Dimensioning

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

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
Blocked
calls
Calls
arrival
Calls
completion
Fixed capaciy

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


CS Capacity Dimensioning (1)
 CS services
 Real time
 GoS requirements
 Multidimensional ErlangB
 Resource sharing
 Meeting GoS requirements
Channels
......
Multidimensional ErlangB Model

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

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
CSPeak Load
CS Average Load
Load occupied by CS
Load occupied by PS
Load
Time

CS Capacity Dimensioning
 Average load:
 Peak load:
 Query the peak connection through ErlangB table
jjj LoadFactorTrafficdAverageLoa 

N
jTotal dAverageLoadAverageLoa
1
jjj LoadFactorPeakConnPeakLoad 
)( jTotal PeakLoadMDEPeakLoad 

PS Capacity Dimensioning
jjj LoadFactorBurstRatetxRateTrafficdAverageLoa  )1()Re1(
 Average load:
 Peak load:
 None
 Why don’t we calculate PS peak load?

N
jTotal dAverageLoadAverageLoa
1

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

Case Study (2)
 Traffic Model, GoS and load factors:
UL DL GoS Load Factors (UL) Load Factors (DL)
AMR12.2k (Erl) 0.02 0.02 2% 1.18% 0.83%
CS64k (Erl) 0.001 0.001 2% 4.99% 4.65%
PS64k (Kbit) 50 100 N/A 4.21% 2.96%
PS128k (Kbit) 0 100 N/A 5.94%
PS384 (Kbit) 0 0 N/A

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%)/0.9/64/360
0*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%

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 Load=31*0.83%=25.73%
CS64k:
Traffic=0.001*800 *(1+40%)=1.12Erl
Peak Load=5*4.65%=23.25%
CS Peak Load: 42.33%

Contents
3.1 R99 Capacity Dimensioning
3.2 HSDPA Dimensioning

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 allocation
t
Dedicated channels (power controlled)
Common channels
HS-DSCH
Power3GPP Release 99 3GPP Release 5
Pmax-R99

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
Distributionprobability
DU Cell coverage Radius=300m
Conditions of Simulation
Channel model-TU3
5 codes
Simulation
Ec/Io distribution
Ior/Ioc distribution
Cell coverage
radius
Cell average
throughput
Ec/Io =>throughput
HSDPA Power
Allocation

Case Study
 Input parameters
 Subscriber number per cell: 800
 HSDPA Traffic model: 1200kbit per subs
 HSDPA Retransmission rate: 10%
 HSDPA Data burst rate:20%
 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%
kbps352%)201(%)01(1
3600
1200*800


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{_

 

Contents
1. Traffic Model
4. CE Dimensioning

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

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

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

CE Mappings for R99 Bearers
Channel Elements Mapping for R99 Bearers
Bearer Uplink Downlink
AMR12.2k 1 1
CS64k 3 2
PS64k 3 2
PS128k 5 4
PS144k 5 4
PS384k 10 8

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
CE
Resources
......
AMR12.2k
CS64k
Multdimensional ErlangB Model
Total CE
CS Peak CE
CS Average CE
CE occupied by CS
CE occupied by PS
and HSPA
CE
Time
CE resource shared
among each service

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
Associated Dedicated Channels
Site 1 Site 2

CE Mappings for HSDPA Bearers
HSDPA Channel Elements Consumption
Traffic Uplink Downlink
HSDPA Traffic --- 0 CE
HS-DPCCH 0 CE ---
UL A-DCH (DPCCH) 3 CE ---
DL A-DCH (DPCCH) --- 1 CE

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%
Traffic Model UL DL GoS
AMR12.2k (Erl) 0.02 0.02 2%
CS64k (Erl) 0.001 0.001 2%
PS64k (kbit) 50 100 N/A
PS128k (kbit) 0 80 N/A
HSPA (kbit) 0 1200 N/A

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

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)

Case Study (4)
Total CE Total CE
CEMAX
CECE
CEMaxCE
ULAveragePSULAverageCS
ULPeakCSTotalUL
80)461,80(
)
,(
____
___



CE743)858Max(74,
)CECECE
,CE(MaxCE
DL_ADL_PSDL_Average_CS
DL_Peak_CSTotal_DL




Contents
1. Traffic Model
4. CE Dimensioning

IUB Transport Overview
Node B RNC
E1/T1
TDM network
E1/T1
Node B RNC
FE
IP network
FE
Node B RNC
E1/T1
TDM network
E1/T1
 ATM over E1/T1
 IP over E1/T1
 IP over Ethernet

IUB Protocol Stack
L1（PHY）
AAL5
SSCOP
SSCF-UNI
NBAP
AAL5
SSCOP
SSCF-UNI
Q.2150.2
ALCAP
AAL2
ATM
EDCH-FP
HSDSCH-FP
PCH-FP
FACH-FP
RACH-FP
DCH-FP
Control Plane User Plane
L1（PHY）
SCTP
NBAP
IP
MAC
UDP
ATM IP over Ethernet
Q.2630.2
EDCH-FP
HSDSCH-FP
PCH-FP
FACH-FP
RACH-FP
DCH-FP
L1（PHY）
SCTP
NBAP
IP (IPHC)
PPP (MUX+Compression)
UDP
IP over E1/T1
EDCH-FP
HSDSCH-FP
PCH-FP
FACH-FP
RACH-FP
DCH-FP
Radio Network Layer
Transport Layer
FP-MUX
Radio Network Transport Network Radio NetworkRadio Network

IUB Bandwidth Composing
 IUB Bandwidth Composing
 Radio Network layer User Plane Data
 DCH User Data Bandwidth
– CS Voice Traffic Bandwidth
– CS VP Traffic Bandwidth
– R99 PS Traffic Bandwidth
– SRB Signaling Bandwidth
 HSPA Service Traffic Bandwidth
 Common Transport Channel Data Bandwidth
– RACH / FACH /PCH
 FP Control Frame

IUB Bandwidth Composing(Cont.)
 IUB Bandwidth Composing
 Radio Network Layer Control Plane Data
 NBAP Common Procedures
 NBAP Dedicated Procedures
 Transport Network Layer Control Plane Data
 O&M Channel Bandwidth
 Either of UL and DL physical layer average bandwidth is 64Kbits/s
 Protocol Processing Overhead

Page78
Bandwidth Dimensioning Flow
User Num / NodeB
HSPA Traffic
CS IUB Bandwidth
PS IUB Bandwidth
Service Bandwidth
HSPA IUB Bandwidth
CCH Bandwidth
Signaling Bandwidth
O&M Channel Bandwidth
IUB Bandwidth
input
Dimensioning
Procedure
output
CS Traffic
Voice Traffic
VP Traffic
Traffic
The Qos of CS Service
PS Traffic
PS64 Throughput
PS128 Throughput
PS384 Throughput
PS Retransmission

Bandwidth Dimensioning Formula
 CS and PS share IUB
bandwidth
 CS Peak Bandwidth－
MDE Algorithm
 The Bandwidth for PS
and HSPA－BE Service
M&OCCHSignalling
HSPAAvg_CSAvg_PSPeak_CSTotal
IubIubIub
)]IubIubIub(,Iub[M axIub
+++
++=
PS/HSPA Occupied Bandwidth
O&M Bandwidth
CCH Bandwidth
CS Occupied Bandwidth
Time
IubBandwidth
CS Average
Bandwidth
CS Peak
Bandwidth
Total Bandwidth
Signaling Bandwidth

Dimensioning Principle Case
 CS AMR Bandwidth Dimensioning

Dimensioning Principle Summary
HSPA IUB Overhead ATM IP over E1/T1 IP over Ethernet
Uplink 27% 7% 7%
Downlink 35% 10% 10%
CCH IUB Overhead ATM IP over E1/T1
IP over
Ethernet
UL Bandwidth for 1 RACH / Cell 60 kbps 50 kbps 50 kbps
DL Bandwidth for 1 SCCPCH(FACH/PCH)
/ Cell
73 kbps 70 kbps 70 kbps
R99
Service Type
IUB Bandwidth IUB Overhead
ATM IP over E1/T1 IP over Ethernet ATM IP over E1/T1 IP over Ethernet
AMR12.2k 22 kbps 20 kbps 20 kbps 80% 64% 64%
CS64k 88 kbps 70 kbps 71 kbps 38% 9% 11%
PS64k 92 kbps 74 kbps 75 kbps 44% 16% 17%

CS Bandwidth Dimensioning
 CS IUB Peak Bandwidth Dimensioning
 Use MDE Algorithm to Estimate CS IUB Peak Bandwidth
 MDE consider Bandwidth Sharing (below table show the
Comparison with before ErlangB)
 MDE consider Gos Requirement of different service
Service Traffic GoS
Required Iub Bandwidth
ErlangB Algorithm
MDE Algorithm
Individual Total
AMR 12.2kbps 50 Erl 2% 1.19Mbps
2.15Mbps 2.09Mbps
CS 64kbps 10 Erl 2% 0.96Mbps

CS Bandwidth Dimensioning(Cont.)
 CS IUB Average Bandwidth Dimensioning
 The below formula is used to estimate CS IUB Average
Bandwidth:
])_1(*_*__*_[∑_
i
iiiAverageCS FactorSHOFactorActivityServiceBWIubServiceTrafficIub 
CS Average
Iub
Bandwidth+ Soft HO factorIub Bandwidth
of VP Service
+ Soft HO factorIub Bandwidth
of Voice Service
Voice Traffic
VP Traffic

PS Bandwidth Dimensioning
 PS IUB Bandwidth Dimensioning
 PS IUB Bandwidth Dimensioning must consider the below
factors:
 When PS is BE Service, PS can share IUB Bandwidth with CS
 Retransmission for PS
 PS actual data rate is bursting, sometimes the service data rate is
high, sometimes the data rate is low

PS Bandwidth Dimensioning(Cont.)
 PS IUB Bandwidth Dimensioning
 PS IUB Bandwidth Dimensioning formula:
]
)Factor_SHO1(*)i_Ratio_Burst1(*
)i_Ratio_ontransmissiRe1(*i_service_BW_Iub*i_Service_Traffic[
Iub
i
Average_PS ∑ ++
+
=
PS
Average
IUB
Bandwidth
+ SHO
Factor
+ Burst
Ratio
+ Retransmission
Ratio
IUB Bandwidth
of PS Service 1
Traffic of PS
Service 1
.
.
.
PS Service i

HSUPA Bandwidth Dimensioning
 HSUPA IUB Bandwidth Dimensioning
 Usually, HSPA is used to bear BE Service, so the
Dimensioning Algorithm is similar to PS:
)_1(*)_1(*)Re1(*
)_1(*)/_(*)/(
RatioSHORatioBurstontransmissi
OverheadHSUPANodeBSubsNumSubTrafficIub
HSUPAHSUPA
HSUPAHSUPA


HSUPA IUB
Bandwidth
+ SHO
Factor
+ Burst
Ratio
+ Retransmission
Ratio
+ IUB
Overhead
Traffic of
HSUPA

HSDPA Bandwidth Dimensioning
 HSDPA IUB Bandwidth Dimensioning
 HSDPA can not support Soft Handover, so the HSDPA IUB
Bandwidth Dimensioning will not consider the SHO Factor:
)_1(*)Re1(*
)_1(*)/_(*)/(
HSDPAHSDPA
HSDPAHSDPA
RatioBurstontransmissi
OverheadHSDPANodeBSubsNumSubTrafficIub


HSDPA Iub
Bandwidth
+ Burst
Ratio
+ Retransmission
Ratio
+ Iub OverheadTraffic of
HSDPA

Relation between PS/HSPA and CS
Bandwidth Dimensiong
 IUB User Plane Bandwidth Dimensioning

Relation between PS/HSPA and CS
Bandwidth Dimensiong(Cont.)
 IUB User Plane Bandwidth Dimensioning
 Usually, PS/HSPA is BE Service, so these service can use the
rest IUB Bandwidth of CS
)](,[ ___ HSPAAvgPSAvgCSPeakCStraffic IubIubIubIubMaxIub 

Signaling Bandwidth Dimensioning
 Signaling IUB Bandwidth Dimensioning
Bandwidth Dimensioning need to consider follow signalings:
 NBAP Signaling
 ALCAP Signaling(ATM Transport)
 FP Control Frame
 SRB(RRC Signaling)
Usually, we think Signaling Bandwidth is 10% of Traffic
Bandwidth

CCH Bandwidth Dimensioning
 CCH IUB Bandwidth Dimensioning
 DL : FACH and PCH map to one SCCPCH, typical IUB
Bandwidth is 70 kbps (IP) / 74 kbps (ATM) per one SCCPCH
 UL : RACH, typical IUB Bandwidth is 50 kbps (IP) / 60 kbps
(ATM)
 Case : 1 NodeB (Configuration : S1/1/1), DL IUB Bandwidth
Dimensionning
 70 kbps * 3 Cells = 210 kbps (IP)
 74 kbps * 3 Cells = 222 kbps (ATM)

O&M Bandwidth Dimensioning
 O&M IUB Bandwidth Dimensioning
 NodeB
 UL IUB Bandwidth: 64kbps
 DL IUB Bandwidth: 64kbps

NodeB Bandwidth Dimensioning
 NodeB IUB Bandwidth Dimensioning
M&OdownlinkuplinkTotal Iub)Iub,Iub(MaxIub +=
UL_SignallingUL_CCHUL_TrafficUL IubIubIubIub ++= DL_SignallingDL_CCHDL_TrafficDL IubIubIubIub ++=

IUB Bandwidth Dimensioning Case
 Input
 NodeB Configuration : S1/1/1
 User Num of the NodeB : 2000
 SHO Factor : 30% (except Softer Handover)
 R99 PS Burst Ratio : 20%
 HSPA Burst Ratio : 25%
 R99 PS Retransmission Ratio : 5%
 HSPA Retransmission Ratio : 1%
 Voice Activity Factor : 0.5

(Cont.)
 Input
Traffic Model of Single
User for Busy Time
UL DL GoS Requirement
AMR12.2k 20 mErl 20 mErl 2%
CS64k 1 mErl 1 mErl 2%
PS64k 50 kbits 100 kbits N/A
PS128k 0 200 kbits N/A
HSPA 1000 kbits 5000 kbits N/A

(Cont.)
Voice Traffic Volume：
0.02Erl * 2000 * (1+30%) = 52 Erl
VP Traffic Volume：
0.001Erl*2000*(1+30%) = 2.6 Erl
CS IUB Bandwidth Dimensioning -
IP
SubTrafficVoice /_ NodeBSubsNum /_ FactorSHO_
SubTrafficVP /_ NodeBSubsNum /_ FactorSHO_

(Cont.)
Voice IUB Average Bandwidth：
52 * (20 * 0.5) = 520kbps
VP IUB Average Bandwidth：
2.6 * 71 = 185 kbps
IP
NodeBTrafficVoice /_ BandwidthVoice_ FactorActivity_
NodeBTrafficVP /_ BandwidthVP_

Page98
(Cont.)
Voice and VP IUB Peak Bandwidth：
CS Peak IUB Bandwidth = 63 * 20* 0.5+ 4 * 71 = 914kbps
Voice and VP IUB Average Bandwidth：
CS Average Bandwidth = 520 + 185 = 705 kbps
IP
NodeBiceNumberPeakConnVo /
NodeBNumberPeakConnVP /
BandwidthVP_
BandwidthVoice_
BandwidthAverageVoice __ BandwidthAverageVP __
FactorActivity_

(Cont.)
PS64k IUB Bandwidth
106.6kbps75*5%)(1*20%)(1*30%)(1*
3600*64
100*2000

PS IUB Bandwidth Dimensioning -
IP
ThroughputDL_NodeBSubsNum /_
HourOne _MBR FactorSHO_ RatioBurst _
ratiosionretransmis _
BandwidthKPS _64

(Cont.)
PS128k IUB Bandwidth
204.8kbps144*5%)(1*20%)(1*30%)(1*
3600*128
200*2000

PS IUB Bandwidth Dimensioning -
IP
HourOne _MBR FactorSHO_ RatioBurst _
ratiosionretransmis _
BandwidthKPS _128
R99 PS IUB Bandwidth
R99 PS Bandwidth = 106.6 + 204.8 = 311.4 kbps

(Cont.)
HSDPA IUB Bandwidth
kbps6.8573%)01(1*1%)(1*%)52(1*
3600
5000*2000

HSPA IUB Bandwidth Dimensioning -
IP
HourOne _ RatioBurst _ ratiosionretransmis _
OverheadIUB_

(Cont.)
IUB Bandwidth Dimensioning - IP
DL IUB Bandwidth
Max[914K ,(705k+311.4k+3857.6k)] *110% +70k*3+64k = 5.6354 Mbps
BandwidthPeakCS __
BandwidthAverageCS __
BandwidthPSR __99
BandwidthHSDPA_
BandwidthSignalling_
BandwidthCCH _
BandwidthMO _&

Contents
1. Traffic Model
4. CE Dimensioning

Network Dimensioning Flow
UL/DL Link Budget
Cell Radius=Min (RUL, RDL)
UL/DL Capacity
Dimensioning
Satisfy Capacity Requirement?
Capacity Requirement
Adjust Carrier/NodeB
No
Yes
CE Dimensioning
Output NodeB Amount/
NodeB Configuration
Coverage Requirement
start
End
IUB Bandwidth Dimensioning

Owp112020 wcdma radio network capacity dimensioning issue1.22

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