WCDMA Tamatave Orange Optimization

7/29/2019 WCDMA Tamatave Orange Optimization

1/22

WCDMA -Tamatave ORANGE Radio Network Optimization

2009-09-10 Page1 of 22

WCDMA-Tamatave ORANGE Radio

Network Optimization

Author: Ricardo RAKOTONIAINA

Amar RAMKISSOON

NTS RNPO Department

Huawei Technologies Co., Ltd.


2/22


2009-09-10 Page2 of 22

Table of Contents

List of Tables ..................................................................................................................................... 3Chapter 1 Prediction & Drive Test Summary Report.....................................................................4

1.1 Coverage Prediction Summary: ............................................................................................ 41.1.1 Engineering parameters of Sites: ............................................................................... 41.1.2 Coverage Prediction by Best Signal Level: ................................................................5

1.2 Drive Test Report Summary..................................................................................................61.2.1 RSCP Active Set [dBm] .............................................................................................. 61.2.2 Tamatave 3G Network Statistic .................................................................................. 71.2.3 Application Throughput__DL [Kbps] ........................................................................... 71.2.4 Application Throughput Statistics ............................................................................... 8

Chapter 2 Optimization Scope for Tamatave 3G Network ............................................................92.1 Perform Neighbor relationship...............................................................................................92.2 Change Azimuth & Antenna Downtilt (mechanical or electrical).........................................11

Chapter 3 Network Analysis after Optimization...........................................................................123.1 Coverage Prediction by Best Signal Level: ......................................................................... 123.2 Drive Test Report Analysis:.................................................................................................12

3.2.1 RSCP Active Set [dBm] ............................................................................................ 123.2.2 Tamatave 3G Drive Test Statistic ............................................................................. 143.2.3 Application Throughput __DL [Kbps] ........................................................................143.2.4 Application Throughput Statistics after Optimization................................................16

3.3 Case Study: ......................................................................................................................... 173.3.1 Case 1:......................................................................................................................173.3.2 Case 2:......................................................................................................................173.3.3 Case 3:......................................................................................................................173.3.4 Case 4:......................................................................................................................173.3.5 Case 5:......................................................................................................................18

Chapter 4 Network parameter Optimization.................................................................................194.1 Network Global Parameter ..................................................................................................194.2 Cell level parameter.............................................................................................................20

Chapter 5 Conclusion and Recommendations ............................................................................ 215.1 Conclusion...........................................................................................................................215.2 Recommendations...............................................................................................................21

APPENDIX........................................................................................................................................22 A.1 Prediction Tool : ..................................................................................................................22A.2 DT Tool : ............................................................................................................................. 22


3/22


2009-09-10 Page3 of 22

List of Tables

Table 1-1 Tamatave Engineering Parameters.......................................................................................... 4Table 1-2 Tamatave Real Engineering Parameters ................................................................................. 6Table 1-3 Coverage Statistics .................................................................................................................. 7Table 2-1 Neighbor Relationship table..................................................................................................... 9Table 2-2 New Parameters Table............................................................................................................11Table 3-1 Coverage Statistics after Optimization ................................................................................... 14Table 4-1 RNC level parameters............................................................................................................ 19Table 4-2 CIO modification..................................................................................................................... 20

List of Figures

Figure 1-1 Coverage Prediction by Best Signal Level ................................................................................ 5Figure 1-2 RSCP of the Best Server........................................................................................................... 6Figure 1-3 Application Throughput Coverage (DL) ..................................................................................... 7Figure 1-4 Application Throughput_DL Histogram................................................................................... 8Figure 3-1 Coverage Prediction by Best Signal Level after Optimization................................................. 12Figure 3-2 Comparison between RSCP for 1

stBest in Active Set before & after Optimization ................ 13

Figure 3-3 Comparison between Application Throughput Coverage (DL) before & after Optimization.... 15Figure 3-4 Application Throughput _DL Histogram before & after OPTIMIZATION.............................. 16Figure 5-1 RRU blocking antenna movement .......................................................................................... 21


4/22


2009-09-10 Page4 of 22

Chapter 1 Prediction & Drive Test Summary Report

1.1 Coverage Prediction Summary:

1.1.1 Engineering parameters of Sites:

Sites Basic Parameters received from Orange engineering.

Table 1-1 Tamatave Engineering Parameters

Node B name Cell nameAzimuth

()

2G

Antenna

Height

(m)

3G

Antenna

Height

(m)

Antenna

Install type

Downtilt

mech () 2G

Downtilt

mech () 3G

N_TamataveAgence U_Tamatave Agence_1 30 14 14 Co- 0 0



N_Tanamakoa U_Tanamakoa_1 30 20.5 17 Separate 0 0



N_Anjoma U_Anjoma_1 45 18 18 Co- 0 0



N_Verrerie U_Verrerie_1 45 37.5 35 Separate 0 0



N_Betainomby U_Betainomby_2 250 47.5 47.5 Co- 0 0

N_Ampasimazava U_Ampasimazava_1 60 15 18 Separate 0 0


5/22


2009-09-10 Page5 of 22

1.1.2 Coverage Prediction by Best Signal Level:

The figure here after shows the coverage prediction about Tamatave 3G network.

Figure 1-1Coverage Prediction by Best Signal Level

Note:

Coverage plots are based on the data provided by Orange on 13th

August 2009.

The NodeB N_Tanamakoa not yet running due to lack of power.

Important:

Orange Optimization team have been working in the region for the 2G network, the coverage

might be different if the target sites were modified during the operations by Orange, specially for

the sites which use Co-antenna type (2G & 3G together), like as TamataveAgence Site or

Anjoma Site.

During the Single Site Verification process, it was seen that some of the engineering

parameters on the sites were not according to the data provided by Orange during the

implementation phase.

Below is the actual parameters on Site, the differences are highlighted in RED.


6/22


2009-09-10 Page6 of 22

Table 1-2 Tamatave Real Engineering Parameters

Node B name Cell nameAzimuth

()

2G

Antenna

Height

(m)

3G

Antenna

Height

(m)

Antenna

Install type

Downtilt

mech () 2G

Downtilt

mech () 3G

N_TamataveAgence U_Tamatave Agence_1 4014 14

Co-0

2N_TamataveAgence U_Tamatave Agence_2 80 14 14 Co- 0 4











N_Betainomby U_Betainomby_2 250 47.5 47.5 Co- 0 0

N_Ampasimazava U_Ampasimazava_1 60 15 18 Separate 0 0

1.2 Drive Test Report Summary

1.2.1 RSCP Active Set [dBm]

The figure here after shows the RSCP Active Set level from the Drive Test

Figure 1-2RSCP of the Best Server


7/22


2009-09-10 Page7 of 22

1.2.2 Tamatave 3G Network Statistic

The Table here after shows Coverage Statistics of Tamatave 3G Network before Optimization

Table 1-3 Coverage Statistics

EcIo RSCP -65


8/22


2009-09-10 Page8 of 22

1.2.4 Application Throughput Statistics

Figure 1-4Application Throughput_DL Histogram

Signal degradation due to neighbor relations missing in some regions has caused the

throughput to decrease drastically (Mark in red) in figure 1-3.


9/22


2009-09-10 Page9 of 22

Chapter 2 Optimization Scope for Tamatave 3G

Network

The main targets of the Optimization operations performed in Tamatave were to provide a

continuous coverage for the region and to ensure that the average throughput rates for the region is

homogeneous and acceptable.

2.1 Perform Neighbor relationship

Table 2-1 Neighbor Relationship table

Cell Name CellID Number Neighbor Cell NameNeighbor

CellID

Distance

( m)

U_Ampasimazava_1 24051 6 U_Anjoma_1 24021 1030

U_Ampasimazava_1 24051 6 U_Tamatave Agence_1 24001 403

U_Ampasimazava_1 24051 6 U_Tamatave Agence_2 24002 403

U_Ampasimazava_1 24051 6 U_Tanamakoa_1 24011 1911

U_Ampasimazava_1 24051 6 U_Tanamakoa_2 24012 1911

U_Ampasimazava_1 24051 6 U_Verrerie_1 24031 3099

U_Anjoma_1 24021 8 U_Ampasimazava_1 24051 1030

U_Anjoma_1 24021 8 U_Anjoma_2 24022 0

U_Anjoma_1 24021 8 U_Anjoma_3 24023 0

U_Anjoma_1 24021 8 U_Tamatave Agence_1 24001 638


U_Anjoma_1 24021 8 U_Tanamakoa_1 24011 1587


U_Anjoma_1 24021 8 U_Verrerie_1 24031 2073

U_Anjoma_2 24022 6 U_Anjoma_1 24021 0

U_Anjoma_2 24022 6 U_Anjoma_3 24023 0





U_Anjoma_3 24023 5 U_Anjoma_1 24021 0

U_Anjoma_3 24023 5 U_Anjoma_2 24022 0




U_Betainomby_2 24042 2 U_Verrerie_2 24032 3105

U_Betainomby_2 24042 2 U_Verrerie_3 24033 3105

U_Tamatave Agence_1 24001 6 U_Ampasimazava_1 24051 403

U_Tamatave Agence_1 24001 6 U_Anjoma_1 24021 638


10/22


2009-09-10 Page10 of 22

U_Tamatave Agence_1 24001 6 U_Tamatave Agence_2 24002 0


U_Tamatave Agence_1 24001 6 U_Tanamakoa_1 24011 1656


U_Tamatave Agence_2 24002 5 U_Ampasimazava_1 24051 403









U_Tanamakoa_1 24011 6 U_Ampasimazava_1 24051 1911

U_Tanamakoa_1 24011 6 U_Anjoma_1 24021 1587

U_Tanamakoa_1 24011 6 U_Tamatave Agence_1 24001 1656

U_Tanamakoa_1 24011 6 U_Tanamakoa_2 24012 0


U_Tanamakoa_1 24011 6 U_Verrerie_1 24031 2721

U_Tanamakoa_2 24012 7 U_Ampasimazava_1 24051 1911












U_Verrerie_1 24031 8 U_Ampasimazava_1 24051 3099

U_Verrerie_1 24031 8 U_Anjoma_1 24021 2073



U_Verrerie_1 24031 8 U_Tanamakoa_1 24011 2721


U_Verrerie_1 24031 8 U_Verrerie_2 24032 0



U_Verrerie_2 24032 4 U_Betainomby_2 24042 3105



U_Verrerie_3 24033 4 U_Betainomby_2 24042 3105


11/22


2009-09-10 Page11 of 22




Legend:

Add missing Neighbor from Drive Test

Add Neighbor from prediction

2.2 Change Azimuth & Antenna Downtilt (mechanical orelectrical)

Changing parameters depend on Antenna Type,

For Co-Antenna type (2G & 3G together): only electrical Downtilt allowedFor Separate-Antenna type: azimuth & Downtilt allowed

Table 2-2 New Parameters Table

Site Cell Name New Azimuth Real Azimuth New Tilt Old Tilt

Ampasimazava U_Ampasimazava_1 80 60 1 0

Anjoma U_Anjoma_1 45 45 3 4



Betainomby U_Betainomby_2 250 250 0 0

TamataveAgence U_Tamatave Agence_1 40 40 2 2



Tanamakoa U_Tanamakoa_1 30 0 1 0



Verrerie U_Verrerie_1 40 60 2 0




12/22


2009-09-10 Page12 of 22

Chapter 3 Network Analysis after Optimization

3.1 Coverage Prediction by Best Signal Level:

Here after is the Coverage Prediction after Optimization.

Figure 3-1Coverage Prediction by Best Signal Level after Optimization.

3.2 Drive Test Report Analysis:

3.2.1 RSCP Active Set [dBm]

The figures below show the comparison between RSCP Active Set level from the Drive Test

before & after the Optimization


13/22


2009-09-10 Page13 of 22

BEFORE

AFTER

Figure 3-2Comparison between RSCP for 1st

Best in Active Set before & after Optimization


14/22


2009-09-10 Page14 of 22

3.2.2 Tamatave 3G Drive Test Statistic

The Table below shows Coverage Statistics of Tamatave 3G Network before & after

Optimization

BEFORE

EcIo RSCP -65


15/22


2009-09-10 Page15 of 22

BEFORE

AFTER

Figure 3-3Comparison between Application Throughput Coverage (DL) before & after

Optimization


16/22


2009-09-10 Page16 of 22

3.2.4 Application Throughput Statistics after Optimization

BEFORE

AFTER

Figure 3-4Application Throughput _DL Histogram before & after OPTIMIZATION


17/22


2009-09-10 Page17 of 22

By increasing the overall signal level and quality, the network quality for HSPA services has

improved greatly. Throughput levels above 2 Mbps have increased by about 5% and for

throughput above 1Mbps the service area has increased by about 13%.

3.3 Case Study:

3.3.1 Case 1:

The signal decrease because there are missing neighbor relation between N_Betainomby &

N_Verrerie. And so, the signal from U_Verrerie_3 is not very good along the main road (RN2),

indicated by A in figure 3-2.

Consequence: - HSDPA was interrupted because of Cell reselection.

- Ping pong Handover effect after adding the neighbor relation missing; this was due

to low signal of the best server.

Solutions: - Add neighbor relation missing

- Change azimuth of U_Verrerie_3 Antenna to perform the signal level along the main

road (RN2)

3.3.2 Case 2:

HSDPA service was interrupted because of poor dominance of the serving cell along the road,

indicated by B in figures 3-2 & 3-3, leading to frequent Handovers.

Solutions: Change antenna azimuth of U_Verrerie_1 & decrease the antenna Downtilt of

U_Anjoma_3 to improve the dominance along the main road

3.3.3 Case 3:

HSDPA service was interrupted because of missing 1st

Best Signal level in Active Set along the way,

indicated by C in figures 3-2 & 3-3.

Solutions: - Change antenna azimuth of U_Verrerie_2 & decrease the antenna Downtilt of

U_Anjoma_2 to perform the signal level along the main road.

- Add missing neighbor relation between N_Betainomby, N_Verrerie & N_Anjoma.

3.3.4 Case 4:

To have a good continuous coverage in the city, better to decrease the antenna Downtilt of

U_Anjoma_3.


18/22


2009-09-10 Page18 of 22

3.3.5 Case 5:

Ping pong Handover effect due to missing of a dominant SC in the region, indicated by E in figure

3-2.

It may affect the DL throughput on the region (especially around the Terminal Container Port &

Sherrit Administrative Base).

Solutions: - Change antenna azimuth of U_Ampasimazava_1 as way, the second lobe of this

antenna can cover the target region.


19/22


2009-09-10 Page19 of 22

Chapter 4 Network parameter Optimization

4.1 Network Global Parameter

Global parameter set based on RNC levels we have recommended to be modified are as in the

table below. For details about the recommended changes please see the column comments

Table 4-1 RNC level parameters

Parameter Name Actual New Comment

Intra-freq Measure Quantity

CPICH

EC/NO

CPICH

RSCP

Network signal quality is

very good; in such a case

the best is to measure the

RSCP, signal level,

compared to quality.

VP service 1A event relative

THD[0.5dB] 6 8

To prevent unnecessary

neighbor cells getting in theactive set, to control the

SHO of the network

CS non VP service 1A event

relative THD[0.5dB] 6 8


neighbor cells getting in the

active set, to control the

SHO of the network

PS service 1A event relative

threshold[0.5dB] 6 8


neighbor cells getting in the

active set, to control the

SHO of the network

1F event absolute EcNo

threshold[dB] -24 -18

Force HO procedure at a

signal level where services

are still possible.

1F event absolute RSCP

threshold[dBm] -112



are still possible.

1A hysteresis[0.5dB] 0 4 To avoid Ping Pong HO

1B hysteresis[0.5dB] 0 4 To avoid Ping Pong HO

Min quality THD for SHO[dB] -24 -18



are still possible.

1F event blind handover trigger

condition[dBm] -115 -112



are still possible.


20/22


2009-09-10 Page20 of 22

4.2 Cell level parameter

In order to improve some of the Handovers the CIO (Cell Individual Offset) are required to be

adjusted. Below is the list of neighbor pairs to be adjusted. The normal value is 0, we would

recommend 7. This parameter helps to move the border closer, hence will allow the HO to

happen earlier.

Table 4-2 CIO modification

Cell Name Cell ID N Cell Name N Cell ID Neighbor Type

U_Verrerie_1 24031 U_Verrerie_2 24032 Co-Site

U_Verrerie_1 24031 U_Verrerie_3 24033 Co-Site

U_Verrerie_1 24031 U_Anjoma_3 24023 Adjacent

U_Verrerie_2 24032 U_Anjoma_2 24022 Adjacent

U_Verrerie_2 24032 U_Betainomby_2 24042 Adjacent

U_Verrerie_3 24033 U_Betainomby_2 24042 Adjacent

The change is required for Verrerie coverage area a the areas where the HO happens are far

from the target sites.


21/22


2009-09-10 Page21 of 22

Chapter 5 Conclusion and Recommendations

5.1 Conclusion

The overall network coverage for the region was good, very little load on the network; hence the

major task was focused on improving the continuous coverage for the network. Because of very

little or no apparent loads on the network, no major problems were identified.

After the optimization, the overall network quality has improved along with HSPA service quality.

Since there was no clear indication of the hot spot areas or high traffic region, the overall

network quality improvement will benefit all the regions, no specific areas have been targeted.

5.2 Recommendations

For a better service delivery, a timely communication of any ongoing optimizations and changes

performed on the network would be very helpful to enhance the service quality.

As the network expands and the load increases, a close monitoring of the network KPI and

adequate parameter tuning must be undertaken to ensure no over utilization of system

resources and a good network quality.

For smooth operations on the RF systems during optimizations phases, the RRU must not be

installed to prevent movement of the antenna for any azimuth changes or mechanical tilting.

The picture below shows an example the RRU blocking the antenna.

Figure 5-1RRU blocking antenna movement

RRUs can be placed on the back of the antenna, if there is adequate space, or below the

antenna or on small poles next to the antenna poles.


22/22


APPENDIX

A.1 Prediction Tool :

Genex U-Net V2.2 (HUAWEI Software Product)

Propagation Model : Okumura-Hata, Suburban

A.2 DT Tool :

Genex Probe V1.5 (HUAWEI Software Product)

UE test : E169E (USB modem), This modem support UMTS900, HSDPA only.

GPS GARMIN 60s.

WCDMA Tamatave Orange Optimization

Documents

Transcript of WCDMA Tamatave Orange Optimization