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-tim

e c

ate

gory

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

Non re

al-tim

e c

ate

gory

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

issionTimeDataTransmctorActivityFa

eTypicalRatBLER

fficVolumeSessionTraissionTimeDataTransm

1

1

1000/8

issionTimeDataTransmadingTimeRe)1Session

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

jjP

jjjTOT

j

NoEb

R

W

PI

PjAvg

110 10

/ _

jj

NoEb

TOTj

R

W

IP

jAvg

1

10

11

10

/ _

N

jown PI1



: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



N

N

jj

NoEb

TOTNotherownTOT P

R

W

IfPIII

jAvg

1

10

/

1

10

11

1

_

jj

NoEb

j

R

WL

jAvg

1

10

11

1

10

/ _

N

N

jTOTTOT PLfII 1

1

Define:

Then:

N

j

NTOT

Lf

PI

1

11

1Obtain:



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

jN

TOT

LfP

INoiseRise

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

WfLf

jAvg

1

10

11

10

11

111

_

jj

EbvsNo

jj

R

WfLf

jAvg

1

10

11

111

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)(

NN

PCL

TX

j

P

CL

TX

CL

j

jPf

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

jRW

PfP

P

Nj

/

)10

(1010/)(

10

)/(



Define the downlink load factor for user j:

Define the downlink load factor for the cell:

maxP

PTXDL

j

TX

PCL

TXj

NoEb

j

jRW

Pf

P

P

P

P

Nj

/

)10

(1010/)(

max

10

)/(

max



According to the above mentioned relationship, the noise will rise:

N

DLMax

N

otherownN

N

total

P

CLPfNo

P

IIP

P

INoiseRise

/


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

Blockedcalls

Callsarrival

Callscompletion

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 requirementsChannels..

....

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

CS Peak Load

CS Average Load

Load occupied by CS

Load occupied by PS

Lo

ad

Time


CS Capacity Dimensioning

Average load:

Peak load:

Query the peak connection through ErlangB table

jjj LoadFactorTrafficdAverageLoa

N

jTotal dAverageLoadAverageLoa1

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 dAverageLoadAverageLoa1


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%



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 allocationt

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

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


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(13600

1200*800


Case Study

Uplink Total Load of the Cell :


CS&PS average load: 23.89%

Downlink Total Load of the Cell :


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

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


Contents

1. Traffic Model



4. CE Dimensioning




IUB Transport Overview

Node B RNC

E1/T1TDM network

E1/T1

Node B RNC

FEIP network

FE

Node B RNC

E1/T1TDM 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

ATME

DC

H-F

P

HS

DS

CH

-FP

PC

H-F

P

FA

CH

-FP

RA

CH

-FP

DC

H-F

P

Control Plane User Plane

L1（PHY）

SCTP

NBAP

IP


MAC

UDP

ATM IP over Ethernet

Q.2630.2

ED

CH

-FP

HS

DS

CH

-FP

PC

H-F

P

FA

CH

-FP

RA

CH

-FP

DC

H-F

P

L1（PHY）

SCTP

NBAP

IP (IPHC)


PPP (MUX+Compression)

UDP

IP over E1/T1

ED

CH

-FP

HS

DS

CH

-FP

PC

H-F

P

FA

CH

-FP

RA

CH

-FP

DC

H-F

P

Radio Network Layer

Transport Layer

FP-MUX

Radio Network Transport Network Radio NetworkRadio Network


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.)


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


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

inputDimensioning

Procedureoutput

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[MaxIub

+++

++=

PS/HSPA Occupied Bandwidth

O&M Bandwidth

CCH Bandwidth

CS Occupied Bandwidth

Time

Iub

Ban

dw

idth

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/T1IP over

Ethernet

UL Bandwidth for 1 RACH / Cell 60 kbps 50 kbps 50 kbps

DL Bandwidth for 1 SCCPCH(FACH/PCH)

/ Cell73 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 AlgorithmMDE Algorithm

Individual Total

AMR 12.2kbps 50 Erl 2% 1.19Mbps2.15Mbps 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

OverheadTraffic 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 TimeUL 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_



(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/NodeBNo

Yes

CE Dimensioning

Output NodeB Amount/

NodeB Configuration

Coverage Requirement

start

End

IUB Bandwidth Dimensioning

Thank youwww.huawei.com

Technology

Owp112020 wcdma radio network capacity dimensioning issue1.22