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Author:Benseny Quintana, Jaume
Title:Assessment of wireless solutions in emerging broadband markets
Publication type:Master's thesis
Publication year:2016
Pages:(9) + 53      Language:   eng
Department/School:Sähkötekniikan korkeakoulu
Main subject:Network Economics   (ETA3003)
Supervisor:Hämmäinen, Heikki
Instructor:Hämmäinen, Heikki
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201605122016
Location:P1 Ark Aalto  3841   | Archive
Keywords:broadband market
scalable networks
affordable internet
wireless access
alternative networks
Abstract (eng):Although broadband markets have grown steadily since the advent of the mobile Internet, penetration levels for developing countries are far from reaching the ordinary citizen.
This thesis analyses three hypotheses as bottlenecks to the growth of emerging mobile broadband markets: (i) the low competence of users, (ii) the low quality of service, (iii) the high access price and, based on the results, alternative wireless solutions are studied to accelerate the Internet diffusion.

Bottleneck hypotheses are evaluated through a quantitative bottleneck analysis that includes measured mobile QoS levels and macroeconomic indicators from a total of 9 cities including emerging (6) and advanced markets (3).
Provided that low quality of service and data prices are identified as the main bottlenecks, a qualitative value network analysis evaluates wireless access technologies, caching technologies, collaborative business environments and, operator revenue models seeking a cost-effective solution.

As a result, the thesis concludes that the affordability of broadband Internet is limited, in the first place, by the least cost-effective network technology (network costs need to be minimized), secondly by the level of competition in the market (profits of operators need to be minimized), and finally by business models of operators which could include subsidies from advertisers, content providers, governments, or implement a freemium model (access prices are minimized).
ED:2016-05-22
INSSI record number: 53570
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