Mobile Network Sharing Between Operators: Between Operators A - - PowerPoint PPT Presentation

▶
mobile network sharing between operators
SMART_READER_LITE
LIVE PREVIEW

Mobile Network Sharing Between Operators: Between Operators A - - PowerPoint PPT Presentation

Dec 07, 2022 240 likes •397 views

Mobile Network Sharing Mobile Network Sharing Between Operators: Between Operators A Demand Trace-Driven Study Di Francesco et al. Outline Paolo Di Francesco, Francesco Malandrino, Luiz DaSilva Introduction Data Available Data Trinity

slide-1
SLIDE 1

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Mobile Network Sharing Between Operators: A Demand Trace-Driven Study

Paolo Di Francesco, Francesco Malandrino, Luiz DaSilva

Trinity College Dublin

Monday 18th August, 2014

the telecommunications research centre

slide-2
SLIDE 2

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Outline

  • Introduction.
  • Data.
  • Correlation (time and space).
  • Effectiveness of network sharing.
  • Conclusion & future works.
slide-3
SLIDE 3

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Long story short

  • Network sharing to reduce

CAPEX and OPEX.

  • When does resource

sharing make sense?

  • How to assess the

effectiveness of network sharing?

MNO1

+

MNO1+MNO2

=

MNO2 MNO1

+

MNO1+MNO2

=

MNO2

slide-4
SLIDE 4

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Data Available

Data made available by two operators: Meteor & O2

  • Transmitters’ location spread throughout the Republic of

Ireland (> 20.000).

  • Coverage (approx.) & sectorization information.
  • Detailed call records & data sessions (many million).
  • Long observation time (weeks).
  • Information on mobile device types usage

(TAC codes > 3.000).

Limitations:

  • Partial mobility information.
  • Users precise location is unknown.
  • Datasets have been collected at different time frame.
slide-5
SLIDE 5

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

GSM coverage

MNO1 MNO2

slide-6
SLIDE 6

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

3G coverage

MNO1 MNO2

slide-7
SLIDE 7

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Autocorrelation

Voice traffic

20 40 60 80 100 120 140 160 −1 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1 Hours [h] Autocorrelation MNO1 − Aggregated MNO2 − Aggregated MNO1 − Busiest sector MNO2 − Busiest sector MNO1 − Median sector MNO2 − Median sector

slide-8
SLIDE 8

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Autocorrelation

Voice traffic

20 40 60 80 100 120 140 160 −1 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1 Hours [h] Autocorrelation MNO1 − Aggregated MNO2 − Aggregated MNO1 − Busiest sector MNO2 − Busiest sector MNO1 − Median sector MNO2 − Median sector

Data traffic

20 40 60 80 100 120 140 160 −1 −0.8 −0.6 −0.4 −0.2 0.2 0.4 0.6 0.8 1 Hours [h] Autocorrelation MNO1 − Aggregated MNO2 − Aggregated MNO1 − Busiest sector MNO2 − Busiest sector MNO1 − Median sector MNO2 − Median sector

slide-9
SLIDE 9

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Space correlation (1)

Global (Moran’s Index):

n S0

n

  • i=1

n

  • j=1,j=i

wi,j(xi− ¯ X)(xj− ¯ X)

n

  • i=1

(xi− ¯ X)2

wi,j = |Ai∩Aj|

|Ai∪Aj|

6am 12am 6pm 12am Time of day −1.0 −0.5 0.0 0.5 1.0 Spatial correlation [Global Moran’s Index]

MNO1 - weekend MNO2 - weekend MNO1 - weekday MNO2 - weekday p

6am 12am 6pm 12am Time of day −1.0 −0.5 0.0 0.5 1.0 Spatial correlation [Global Moran’s Index]

MNO1 - weekend MNO2 - weekend MNO1 - weekday MNO2 - weekday p

slide-10
SLIDE 10

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Space correlation (2)

Local:

It allows to label transmitters as: outlier (hot, cold), cluster (hot, cold)

xi− ¯ X S2

i

n

  • j=1,j=i

wi,j(xj − ¯ X) wi,j = |Ai∩Aj|

|Ai∪Aj|

6am 12pm 6pm 12am Time of day 20 40 60 80 100 120 Number of hot spot

MNO1, w/o sharing MNO2, w/o sharing MNO1, w/ sharing MNO2, w/ sharing

6am 12pm 6pm 12am Time of day 10 20 30 40 50 60 Number of hot spot

MNO1, w/o sharing MNO2, w/o sharing MNO1, w/ sharing MNO2, w/ sharing

slide-11
SLIDE 11

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Hot Spots in Dublin - 24h timelapse

slide-12
SLIDE 12

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Wrapping up the results

Operator Ireland Urban Rural Deployment density MNO1 0.080 4.488 0.040 [sectors/km2] MNO2 0.095 5.615 0.042 Space correlation WE MNO1 0.10 0.08 0.11 [Moran’s Index] MNO2 0.13 0.11 0.25 WD MNO1 0.07 0.08 0.10 MNO2 0.04 0.04 0.11 hot spot WE MNO1

  • 55%
  • 38%
  • 93%

reduction MNO2

  • 55%
  • 35%
  • 50%

WD MNO1

  • 64%
  • 46%
  • 96%

MNO2

  • 54%
  • 44%
  • 93%
slide-13
SLIDE 13

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Future works

  • Combine demand data with census data publicly available.
  • Propose actual mechanisms for effecting network sharing.
  • Energy efficiency, cost reduction, through network sharing.
slide-14
SLIDE 14

Mobile Network Sharing Between Operators Di Francesco et al. Outline Introduction Data Available

Data Coverage

Correlation

Time Space

Assessing the effectiveness

Results

Conclusion & Future Works

Thank You