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Crowdsourcing mobile coverage

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  • Koutroumpis, Pantelis
  • Leiponen, Aija

Abstract

Mobile coverage affects social and economic communication and performance. Looking at the determinants of mobile network coverage helps highlight both operators׳ strategies and individual users׳ decisions. Subscribers often install small wireless antennas called femto-cells within buildings with poor signal. The location and density of these antennas provides information for areas with significant demand but poor coverage-areas where coverage is effectively crowdsourced. In contrast to the development of fixed-line networks, average income, population, geography, and education are the main drivers of both telecom and femto-cell based mobile coverage. Low-income regions are found to receive almost 15% less coverage compared to their affluent counterparts and have two fewer telecom base stations installed for equal distributions of (potential) subscribers. Base stations tend to be at least three times further from lower-income subscribers. Within poorly-covered areas, wealthier households are able to compensate by investing in femto-cells, but poorer households are often excluded from communication networks and the internet. The results of this research has implications for information policy.

Suggested Citation

  • Koutroumpis, Pantelis & Leiponen, Aija, 2016. "Crowdsourcing mobile coverage," Telecommunications Policy, Elsevier, vol. 40(6), pages 532-544.
    • Handle: RePEc:eee:telpol:v:40:y:2016:i:6:p:532-544
    DOI: 10.1016/j.telpol.2016.02.005
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    References listed on IDEAS

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    Cited by:

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    2. Mothobi, Onkokame & Grzybowski, Lukasz, 2017. "Infrastructure deficiencies and adoption of mobile money in Sub-Saharan Africa," Information Economics and Policy, Elsevier, vol. 40(C), pages 71-79.
    3. Oughton, Edward J. & Frias, Zoraida, 2018. "The cost, coverage and rollout implications of 5G infrastructure in Britain," Telecommunications Policy, Elsevier, vol. 42(8), pages 636-652.

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