Page 350 - Kaleidoscope Academic Conference Proceedings 2024
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2024 ITU Kaleidoscope Academic Conference

           ensure that all girls and boys have access to quality early   a) FIELD MONITORING TOOL: The Department will get
           childhood  development,  care  and  pre-primary  education’,   a mobile app for real-time field monitoring (Figure 1) and
           further incidence mentioned in point  (b) mentioned above   by  assessing  user  experience,  telecom  coverage
           affects the target 3.6 of SDGs – ‘halve the number of global   effectiveness  may  be  assessed  to  make  necessary
           deaths and injuries from road traffic accidents.’ Access to   improvements [13].
           mobile connectivity  is linked to  the  majority of 17  SDGs
           directly or indirectly.  specifically, directly linked to SDG 1:
           No Poverty, SDG-2: Ending Hunger SDG-3: Good Health
           and Well-being SDG 4: Quality Education, SDG 5: Gender
           Equality and SDG 8: Decent Work and Economic Growth,
           SDG  9:  Industry,  Innovation  and  Infrastructure,  SDG 10:
           Reducing Inequalities.
           Take an example related to coverage of mobile and SDG, in
           India around half of the population depends on agriculture   Figure 1 - A single telecom volunteer per village in India
           and as per estimates 40% of farmers in India are still taking
           loans  from  the  informal  banking  sector  and  depend  on
           moneylenders [9]. Programs like M-Pesa (Mobile Money)   b) PREDICTION  MAPS:  The  dependency  on  TSP
           provide  an  opportunity  to  get  rid  of  the  debt  trap  of   coverage forecast maps will be reduced significantly as
           moneylenders,  which  may  provide  impetus  to farmers  for   an approach relying on  automatic  data collection from
           quick  money  transfers.  Kenyan  mobile  money  system  M-  many  user  devices  (volunteers)  would  likely  provide
           PESA  increased  per  capita  consumption  levels  and  lifted   better  spectral  maps  (Figure  2)  covering  wide
           194,000 households, or 2% of Kenyan households, out of   geographical areas than using data from a few accurate
           poverty  till  2020  [10].  In  line  with  this,  the  Indian   (but expensive) drive testing instruments [12].
           government launched PM-KISAN as direct benefit transfers
           to  farmers.  However,  a  deep  dive  into  the  digital  arena
           indicates farmers' challenges due to low cell connectivity or
           service  quality.  Issues  faced  by  farmers  in  Odisha  are
           explored in [11].
           Quality  mobile  connectivity  also  facilitates  education,
           certification, skills training, financial services like transfers
           and payments, and M2M agricultural services like crop, soil,
           and  weather  monitoring.  Thus,  access  to  Quality
           mobile/internet services on the one hand will improve  the
           livelihood of farmers on the other hand improve agricultural
           productivity focusing on SDG 2 - end hunger, achieve food
           security  and  improved  nutrition,  and  promote  sustainable
           agriculture.                                        Figure 2 - Multiple telecom subscribers latched to the
                                                               same BTS for coverage maps.
           1.3 Proposed Solutions and Benefits               c)  REDUCING  EXPENDITURE:  The  dependence  as  of
           The objective of this paper is to have a system owned by the   now is on RF (radio frequency) coverage prediction maps
           Department of Telecommunications (DoT), Government of   provided  by  the  TSPs  collected  through  driving  a
           India which can tell the ground reality of the telecom services   car/vehicle with a measuring kit along the main roads or
           in any geographical area of interest. The system should be   in other accessible regions where vehicles can be driven
           trustable by the governments and the citizens, and it should   [14]. Further, it is time-consuming, expensive, and not
           be  free  from  any  conflict  of  interest  (as  per  the  current   scalable [15], [16].
           scenario, the Telecom coverage data is being collected from   d) FUTURE FOUNDATION: The data collected will serve
           telecom service providers (TSPs)). So, the objective will be   as  a  foundation  for  all  future  forms  of  data  analysis
           fulfilled in the following ways:                      (Figure  3)  in  the  telecommunications  industry.  The
           i. A mobile application of DoT to be installed by users as  designed  application  comprehensively  captures  all
              volunteer citizens.                                conceivable  sets  of  attributes  related  to  the
           ii. Real-time  telecom  parameters  will  be  captured  by  the  telecommunications industry.
              application  without  any  reliance  on  TSPs  (Telecom
              Service Providers).
          iii. Historic mobile coverage data will show how the signal
              is improving in an area and the technology of an area is
              getting upgraded e.g.,3G to 4G to 5G.
          iv. Operators will receive guidance regarding the necessary
              infrastructure  or  configuration  adjustments,  such  as
              height, tilt, and  power, to address the gaps in telecom
              coverage based on the collected parameters [12].
           The organization, Department of Telecommunications (DoT)
           under the Ministry of Communications, Government of India   Figure 3 - shows the best mobile operator.
           will benefit in the following ways:


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