MOBILE RADIO NETWORK OPTIMIZATIONagileto.com/docs/AGILETO_Drive_Test_2G_Analysis_old.pdf ·...

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MOBILE RADIO

NETWORK OPTIMIZATION

Drive Test Analysis

2G

http://www.agileto.com/


Agenda

• Introduction: Context, Inputs and Deliverables

• Geo-spatial representation of the Network/Cluster

• Audit, Analysis and Recommendations from DT data

2



Inputs and deliverable Inputs: • Geodatabase of network encompassing the cluster under study:

Site Coordinates in WGS 84 in CSV or tabular format Antenna configurations per technology (2G) : height, azimuth, tilt (mech + elec)…

• BSC dump of the 2G cluster: xml/Excel OSS file on xx.xx.2015: file name 2G

• Drive test log files on period time from xx.xx.2015 to xx.xx.2015 (from scanner or mobile device)

Outputs: • GIS representation of the 2G clusters in MapInfo & Google earth formats

• Drive Test route and analysis presentations in MapInfo & Google earth formats

• Recommendations: • Neighbors proposals (missing + detected) • Over-shooters detections • Polluted areas (Investigations) • Cells Coverage efficiency • Wrong BCCH planning and optimization • Automatic Cross Sectors/Feeders detections

3



Project context

Drive test cluster

presentation

DT Route

DT Best Server

Pollution areas

Coverage Efficiency

Over shooter

Cells

BCCH Audit &

Optimization

Missing Neighbors

(2G-2G)

Cross feeder

detection

4



Agenda




5



Geographical cluster distribution

Cells/Sites distribution of the DT cluster under the study:

Nbr of 2G sites: 67 Nbr of cells per band:

• 2G-900 = 194 • 2G-1800 = 195

Colors Legend: 2G Layers: 900, 1800

6



Agenda




7



Drive test route



Route of the 2G DT cluster

Drive test route related to the 2G cluster (layers: 900 + 1800):

The DT covers 248.25 km of urban

roads in city (without counting repetitive routes)

Total aggregated points of the DRIVE TEST detected into the measurements file: 100% • Total number of MOBILITY

Drive Test measurements: 93.04%

• Total number of STATIC [No Mobility detected] Drive Test measurements: 6.96%

9



DT Best Server



Best server RSSI along the 2G DT cluster

Percentage distribution of RSSI (TOP1 = Best server) 38.3 % of the DT route

RSSI ≥ -70 dBm Deep Indoor, good coverage

43.1 % of the DT route

-80 dBm ≤ RSSI < -70 dBm Indoor acceptable coverage


-90 dBm ≤ RSSI < -80 dBm Outdoor poor coverage,


RSSI < -90 dBm Bad coverage,

11



Pollution areas



Cluster DT analysis: Pollution (2G)

Similar with the 3G technology, Agileto tool is using the terminology of the Active Set size for the 2G technology too, as following:

Active Set size means the number of the 2G cells (detected on each drive test measurement point) -

(2G cells are unique identified by Agileto in relation with the NW 2G cells database, the BCCH (BSIC) and the Lat/Long of the drive test measurement point)

- which are falling within the specified range (called Active Set range, usually 3dB) against the best server (which is in reality the single 2G active radio link).

Definition:

Polluted area = area where the number of the 2G cells detected on each measurement point within user specified range - (this range is provided as input to Agileto tool as Active Set range, usually 3dB) - against the best server exceeds a certain value called Active Set size (usually 3 cells).

13



Percentage distribution of Active Set (AS) size along the DT route: 86.7 %

AS ≤ 2 No polluted area

9.1 % AS = 3

Medium polluted area

4.2 % AS ≥ 4

Polluted area

Cluster DT analysis: Pollution

14



Pollution Areas of the 2G DT cluster

Example of pollution Area: Active Set Size = 6 (6 cells are detected within 3dB against the best server)

Pt_nr = 8185 Time_Stamp = 12:40:54.853 ActiveSet_Size = 6 1) 039NIA3_08_u3/1021/-82.0/.0 2) 040NIA3_08_u3/3/-82.0/15.0 3) 044NIA3_08_u1/1020/-82.8/13.0 4) 045NIA3_08_u5/682/-83.0/11.0 5) 036NIA3_08_u6/699/-83.8/11.0 6) 039NIA3_08_u4/708/-84.5/6.0 Top1_BCCH = 1021 Top1_RSSI = -82 Top1_BSIC = 0 Lat_WGS84 = yy.535820 Long_WGS84 = xx.098155

15



“Zoom in” on polluted area Actions after studying this example: In our case, there is no dominant cell After checking the coverage of each detected cell, the action is to down tilt: Cell Nbr 6 from 4° to 6° Cell Nbr 5 from 4° to 6° Cell Nbr 4 from 4° to 6° Cell Nbr 3 from 4° to 6° Add neighbor between cell 1 and cell 2

Pt_nr = 8185 Time_Stamp = 12:40:54.853 ActiveSet_Size = 6 1) 039NIA3_08_u3/1021/-82.0/.0 2) 040NIA3_08_u3/3/-82.0/15.0 3) 044NIA3_08_u1/1020/-82.8/13.0 4) 045NIA3_08_u5/682/-83.0/11.0 5) 036NIA3_08_u6/699/-83.8/11.0 6) 039NIA3_08_u4/708/-84.5/6.0 Top1_BCCH = 1021 Top1_RSSI = -82 Top1_BSIC = 0 Lat_WGS84 = yy.535820 Long_WGS84 = xx.098155 Best server (Active link) TOP X (Existing Neighbors) TOP X (Missing Neighbors)

16



“Analysis of the proposed actions” based on polluted area

Coverage (Best/ASet/Full) of the Cell_Nbr 6:

No best server on polluted area (TOP 6), RXLEV= -84.5dBm

Proposed action: downtilt from 4° to 6°


No best server on polluted area (TOP 5), RXLEV= -83.8 dBm


- Polluted area; - Green polygon = Best server area; - Blue polygon = ASet coverage area; - Yellow polygon = Full coverage area 17









“Analysis of the proposed actions” based on polluted area

- Polluted area; - Green polygon = Best server area; - Blue polygon = ASet coverage area; - Yellow polygon = Full coverage area 18



Coverage efficiency



Coverage area vs Coverage efficiency

Coverage efficiency of one cell is presenting the ratio between the coverage area where the cell is the best server and the area where the cell has the full coverage.

On the right side is presented as example a screenshot containing the coverage areas and coverage efficiencies related to a number of cells.

The line in purple color (right side) is presented into the next slide as an example.

Cell_NameCoverage Top1

[SqKm]

Coverage ASet

[SqKm]

Coverage All

[SqKm]

Cvg_Top1

Efficiency [%]

Cvg_ASet

Efficiency [%]

009NIA3_08_u6 0.135 0.173 1.11 12.12 15.58

062NIA3_11_u1 0.884 1.083 7.011 12.6 15.45

007NIA3_08_u6 0.379 0.925 6.011 6.3 15.39

060NIA3_11_u2 0.222 0.62 4.028 5.5 15.38

026NIA3_08_u3 0.419 0.748 5.005 8.37 14.95

042NIA3_08_u2 0.198 0.319 2.141 9.26 14.9

034NIA3_08_u3 0.38 0.511 3.428 11.08 14.9

060NIA3_11_u5 0.667 0.875 5.929 11.25 14.76

021NIA3_08_u6 0.95 1.146 7.798 12.18 14.7

047NIA3_08_u5 0.609 1.593 11.197 5.44 14.23

019NIA3_08_u5 0.168 0.339 2.388 7.04 14.18

063NIA3_11_u6 0.547 0.729 5.151 10.62 14.16

036NIA3_08_u3 0.273 0.545 3.865 7.06 14.11

032NIA3_08_u3 0.09 0.359 2.551 3.54 14.06

036NIA3_08_u4 0.094 0.138 0.984 9.52 14.04

060NIA3_11_u6 0.256 0.478 3.414 7.49 14.01

038NIA3_08_u1 0.327 0.592 4.258 7.68 13.9

046NIA3_08_u1 0.372 0.447 3.24 11.49 13.79

Coverage efficiency of one cell is an Agileto concept presenting the ratio between the specific coverage area of one cell (seen as Top1 – TopX) and its full (total) coverage area where the cell has been detected during the drive test.

According with the cell position related to the best cell (Top1), there are mainly two interesting coverage areas efficiency, as following: • 1) Coverage Top1 efficiency • 2) Coverage ASet (Active Set) efficiency

The values of the coverage areas efficiency may

provide a good indication if a cell is a polluter or has a lack of coverage – see some examples on the right side for multiple cells.

The line in purple background (right side) is detailed into the next slide as an example.

20



Example of the Coverage Efficiency for the selected cell:

Coverage area where the cell is detected as the best server (TOP1) = 0.950 km² (green border)

Coverage area where the cell is detected into Active Set range of 3dB = 0.146 km² (blue border)

Coverage area where the cell is detected as Full Coverage = 7.798 km² (red border)

Coverage efficiency [Top1] = 0.95 / 7.798 = 12.18%

Coverage efficiency [ASet] = 1.146 / 7.798 = 14.7%

21



Over shooter cells



Cluster DT analysis: Over-shooters

Total Nbr of Worst over-shooters cells (≥ 10 affected cells): 74

Nr of

Overshooters

Nr of Cells

Affected per

OS

3 23

2 22

3 20

1 18

4 17

2 16

3 15

5 14

7 13

12 12

13 11

19 10

20 9

20 8

36 7

36 6

37 5

42 4

42 3

26 2

26 1 23



Example of one Over-shooter Cell

Cell Over-shooter BCCH = 1014 Azimuth = 285 Ant_Height = 20 El_Tilt = 4 Mec_Tilt = 0 LAC = 50231 CID = 2154 Nr of Cells affected: 22

Over-shooter cell example: detected and generated by Agileto:

22 cells are affected/polluted by this over-shooter cell.

24



Coverage of the over-shooting Cell

Cell Over-shooter BCCH = 1014 Azimuth = 285 Ant_Height = 20 El_Tilt = 4 Mec_Tilt = 0 LAC = 50231 CID = 2154 Top1 Cvg area [SqKm] = 0.009 Aset Cvg area [SqKm] = 0.057 Full Cvg area [SqKm] = 3.006 Cvg_Top1 Efficiency [%] = 0.32 Cvg_ASet Efficiency [%] = 1.89

Coverage of the over-shooting cell (same example)

-> detected and generated by Agileto tool. The coverage of this over-

shooting cell is represented according to the RSSI legend

25



Missing Neighbors 2G-2G



Missing Neighbors detection (automatic)

An example of the 2G-2G neighbors proposal, detected & generated by Agileto is displayed on the right side, as following:

Missing neighbors (# 7)

Maintained neighbors (# 11)

Detected (Low Importance) (# 4)

Missing LI (Low Importance) (#2)

Not detected neighbors (# 4) These particular neighbor results are mapped and displayed into the next slide… Obs. The optimisation results have considered the “weight” related to the Nr of occurrences Source-Target as to be > 1%

Source

CellName

Target

CellName

Distance Source-

Target Cells

[Km]

Nr of

Occurances

Nr of

Occurances [%]

Priority

detectedNeighbor status

018NIA3_08_u3 018NIA3_08_u6 0.00 28 12.23% 1 Detected










018NIA3_08_u3 012NIA3_11_u1 1.17 5 2.18% 11 Missing








018NIA3_08_u3 012NIA3_11_u4 1.17 2 0.87% -19 Missing LI

018NIA3_08_u3 027NIA3_08_u4 1.75 2 0.87% -20 Detected



018NIA3_08_u3 027NIA3_08_u2 1.75 1 0.44% -23 Missing LI


018NIA3_08_u3 027NIA3_08_u1 1.75 NotDetected



018NIA3_08_u3 066NIA3_11_u2 1.95 NotDetected27



2G-2G (automatic) Neighbors optimization

Example of the 2G-2G Neighbors Optimisation generated by Agileto: The missing neighbors relations are presented with red lines The maintained neighbors relations are presented in blue lines. The purple lines are presented the existing neighbors relations which are not detected during the DT. Obs. Each neighbor line is presenting at the edge the priority proposal and the relative contribution [%] detected during the drive test.

NB_Proposals: 18 NB_Maintained: 11 NB_Missing: 7 NB_Not Detected: 4

28



BCCH Audit & Optimization + wrong BCCH allocation detected



BCCH Audit provided by Agileto

An example of BCCH audit generated by Agileto is displayed into the right spreadsheet (with a limited set co-channel distance up to 1.2km).

The yellow columns display the cells

with the minimum repeated distance of the BCCH co-channel.

Green and blue columns show the Adjacent channel inferior and Adjacent channel superior with their minimum repeated distance.

The cells with red color are taken as an

example representing BCCH co-channel interference. The two (2) cells are mapped and displayed into the next slide.

Cell Name Cell BCCH

CoChan

DistMin

[Km]

CoChan Cell

Name

AdjChInf

BCCH

AdjChInf

DistMin

[Km]

AdjChInf Cell

Name

AdjChSup

BCCH

AdjChSup

DistMin

[Km]

AdjChSup Cell

Name

031NIA3_08_u1 4 0.6 034NIA3_08_u2 3 1.7 015NIA3_08_u3 5 0.5 026NIA3_08_u3



012NIA3_11_u2 1023 0.6 017NIA3_08_u1 1022 1.8 028NIA3_08_u3






036NIA3_08_u3 1013 0.6 035NIA3_08_u2 1012 1.3 037NIA3_08_u1 1014 1 031NIA3_08_u2

017NIA3_08_u1 1023 0.6 012NIA3_11_u2 1022 1.3 028NIA3_08_u3


031NIA3_08_u3 1011 1 027NIA3_08_u3 1010 1.6 016NIA3_08_u2 1012 1.5 020NIA3_08_u2



080NIA3_12_u2 1008 1 051NIA3_08_u1 1007 3 049NIA3_08_u3 1009 4.6 032NIA3_08_u1









015NIA3_08_u1 8 1.2 014NIA3_08_u2 7 1.4 009NIA3_08_u1


027NIA3_08_u2 1015 1.2 017NIA3_08_u3 1014 1 031NIA3_08_u2 1016 0.6 032NIA3_08_u3

014NIA3_08_u2 8 1.2 015NIA3_08_u1 7 2.4 009NIA3_08_u1


028NIA3_08_u3 1022 1.2 026NIA3_08_u2 1021 1.8 025NIA3_08_u2 1023 1.2 036NIA3_08_u2 30



wrong BCCH allocation detection

31



BCCH Optimization proposal provided by Agileto

Agileto dedicated module (M2.3) proposes to change the wrong BCCH allocation from 1015 to the optimum value = 11 (For this case we get non repetition of BCCH=11 over the entire 2G network)

32



Cross Feeders Detection



Automatic cross feeders detection

An example of automatic cross feeders detection generated by Agileto is displayed into the right spreadsheet. The Cells presented with the red colors are taken as an example which is displayed in the next slide. To remark into the next slide the selected cells azimuths versus their coverage points detected during the drive test.

Cell_NameCvg All

Pts

Cvg

PtsGood

[%]

Cvg

PtsBad

[%]

CrossSec

tor

CvgAll

Top1 Pts

Top1

PtsGood

[%]

Top

PtsBad

[%]

CrossSec

tor Top1

001NIA3_08_u1 1105 12.58 87.42 TRUE 189 3.7 96.3 TRUE

001NIA3_08_u3 965 44.15 55.85 TRUE 77 9.09 90.91 TRUE

012NIA3_11_u3 807 40.64 59.36 TRUE 46 26.09 73.91 TRUE

012NIA3_11_u4 776 21.13 78.87 TRUE 44 22.73 77.27 TRUE

024NIA3_08_u4 273 22.34 77.66 TRUE 46 10.87 89.13 TRUE

024NIA3_08_u6 760 28.95 71.05 TRUE 25 4 96 TRUE

043NIA3_08_u3 1144 41.7 58.3 TRUE 110 33.64 66.36 TRUE

043NIA3_08_u6 1763 29.04 70.96 TRUE 183 18.58 81.42 TRUE

044NIA3_08_u1 1188 21.63 78.37 TRUE 69 28.99 71.01 TRUE

044NIA3_08_u6 1083 42.94 57.06 TRUE 16 18.75 81.25 TRUE

060NIA3_11_u3 1708 14.93 85.07 TRUE 245 26.94 73.06 TRUE

060NIA3_11_u4 1151 20.07 79.93 TRUE 202 3.47 96.53 TRUE

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Automatic cross feeders detection

Sector 1 (u1)

Sector 3 (u3)

35



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Agileto www.agileto.com



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