Policy choices can help keep 4G and 5G universal broadband affordable

The United Nations Broadband Commission has committed the international community to accelerate universal broadband. However, the cost of meeting this objective, and the feasibility of doing so on a commercially viable basis, are not well understood. Using scenario analysis, this paper compares the global cost-effectiveness of different infrastructure strategies for the developing world to achieve universal 4G or 5G mobile broadband. Utilizing remote sensing and demand forecasting, least-cost network designs are developed for eight representative low and middle-income countries (Malawi, Uganda, Kenya, Senegal, Pakistan, Albania, Peru and Mexico), the results from which form the basis for aggregation to the global level. The cost of meeting a minimum 10 Mbps per user is estimated at USD 1.7 trillion using 5G Non-Standalone, approximately 0.6% of annual GDP for the developing world over the next decade. However, by creating a favorable regulatory environment, governments can bring down these costs by as much as three quarters, to USD 0.5 trillion (approximately 0.2% of annual GDP), and avoid the need for public subsidy. Providing governments make judicious choices, adopting fiscal and regulatory regimes conducive to lowering costs, universal broadband may be within reach of most developing countries over the next decade.

[1]  T. Yamano,et al.  The Impact of Mobile Phone Coverage Expansion on Market Participation: Panel Data Evidence from Uganda , 2009 .

[2]  J. Goeree,et al.  Synergistic valuations and efficiency in spectrum auctions , 2017 .

[3]  Jan Markendahl,et al.  A comparative study of deployment options, capacity and cost structure for macrocellular and femtocell networks , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[4]  M. Cave 40 years on: An account of innovation in the regulation of UK telecommunications, in 3½ chapters , 2017 .

[5]  Marco J. Haenssgen,et al.  The Social Implications of Technology Diffusion: Uncovering the Unintended Consequences of People’s Health-Related Mobile Phone Use in Rural India and China , 2017 .

[6]  Maureen Meadows,et al.  The use of scenarios in developing strategy: An analysis of conversation and video data , 2020, Technological Forecasting and Social Change.

[7]  Michael Jefferson Scenario planning: Evidence to counter ‘Black box’ claims. , 2020 .

[8]  Toni Janevski,et al.  A Cost Modeling of High-capacity LTE-advanced and IEEE 802.11ac based Heterogeneous Networks, Deployed in the 700 MHz, 2.6 GHz and 5 GHz Bands , 2014, MoWNet.

[9]  Pedro C. Vicente,et al.  Improving Access to Savings Through Mobile Money: Experimental Evidence from African Smallholder Farmers , 2020, World Development.

[10]  D. Alderson,et al.  Who’s Superconnected and Who’s Not? Investment in the UK’s Information and Communication Technologies (ICT) Infrastructure , 2015 .

[11]  Nicolas Curien,et al.  The theory and measure of cross-subsidies : An application to the telecommunications industry , 1991 .

[12]  M. Crawford A comprehensive scenario intervention typology , 2019 .

[13]  M. Cave,et al.  The European Framework for Regulating Telecommunications: A 25-year Appraisal , 2019, Review of Industrial Organization.

[14]  Joseph Hilbe,et al.  A Handbook of Statistical Analyses Using R , 2006 .

[15]  Simplice A. Asongu,et al.  The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa , 2016 .

[16]  C. Ovando Challenges of the first 5G radio spectrum assignment in Mexico , 2020 .

[18]  C. S. Yoo An Unsung Success Story: A Forty-Year Retrospective on U.S. Communications Policy , 2017 .

[19]  Martin B. H. Weiss,et al.  Improving Liquidity in Secondary Spectrum Markets: Virtualizing Spectrum for Fungibility , 2019, IEEE Transactions on Cognitive Communications and Networking.

[20]  D. Sicker,et al.  Towards 5G: Scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure , 2018, Technological Forecasting and Social Change.

[21]  P. Koutroumpis The economic impact of broadband: Evidence from OECD countries , 2019, Technological Forecasting and Social Change.

[22]  Minho Jo,et al.  Blockchain-Based Intelligent Network Management for 5G and Beyond , 2019, 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT).

[23]  Pau Castells,et al.  The Impact of Spectrum Prices on Consumers , 2019, Social Science Research Network.

[24]  Achille Pattavina,et al.  Cost models for BaseBand Unit (BBU) hotelling: From local to cloud , 2015, 2015 IEEE 4th International Conference on Cloud Networking (CloudNet).

[25]  B. Dangerfield,et al.  Propagating a digital divide: Diffusion of mobile telecommunication services in Pakistan , 2013 .

[26]  Emmanouil Tranos,et al.  The Causal Effect of the Internet Infrastructure on the Economic Development of European City Regions , 2012 .

[27]  Ashley Metz,et al.  Scenario development as valuation: Opportunities for reflexivity , 2020 .

[28]  Andreas Hackl,et al.  Mobility equity in a globalized world: Reducing inequalities in the sustainable development agenda , 2018, World Development.

[29]  Kaihua Chen,et al.  Integrating the Delphi survey into scenario planning for China's renewable energy development strategy towards 2030 , 2020 .

[30]  Susana Ferreira,et al.  The Mobile Phone Revolution: Have Mobile Phones and the Internet Reduced Corruption in Sub-Saharan Africa? , 2017 .

[31]  Bianca C. Reisdorf,et al.  The ability to pay for broadband , 2019, Communication Research and Practice.

[32]  Fariborz Entezami,et al.  An Open-Source Techno-Economic Assessment Framework for 5G Deployment , 2019, IEEE Access.

[33]  Edward J. Oughton,et al.  The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford-Cambridge Arc , 2020, Comput. Environ. Urban Syst..

[34]  Simon Forge,et al.  Forming a 5G strategy for developing countries: A note for policy makers , 2020 .

[35]  Marco J. Haenssgen,et al.  You’ve got a friend in me: How social networks and mobile phones facilitate healthcare access among marginalised groups in rural Thailand and Lao PDR , 2021, World Development.

[36]  J. Peha Cellular Economies of Scale and Why Disparities in Spectrum Holdings Are Detrimental , 2017 .

[37]  Zoraida Frias,et al.  Assessment of spectrum value: The case of a second digital dividend in Europe , 2017 .

[38]  Léonard Wantchekon,et al.  Mobile technology and food access , 2019, World Development.

[39]  T. Kretschmer,et al.  Broadband Infrastructure and Economic Growth , 2009, SSRN Electronic Journal.

[40]  S. Han,et al.  The effect of government 5G policies on telecommunication operators’ firm value: Evidence from China , 2020 .

[41]  Andrew J. Tatem,et al.  WorldPop, open data for spatial demography , 2017, Scientific Data.

[42]  Martin Cave,et al.  Taking account of service externalities when spectrum is allocated and assigned , 2016 .

[43]  M. Cave,et al.  The use of spectrum auctions to attain multiple objectives: Policy implications , 2017 .

[44]  Chris Williams,et al.  The Economic Impact of Next-Generation Mobile Services: How 3G Connections and the Use of Mobile Data Impact GDP Growth , 2013 .

[45]  Sèna Kimm Gnangnon,et al.  Does bridging the Internet Access Divide contribute to enhancing countries' integration into the global trade in services markets? , 2017 .

[46]  Jim W. Hall,et al.  The Strategic National Infrastructure Assessment of Digital Communications , 2018 .

[47]  J. M. Avilés A tale of two reforms: Telecommunications reforms in Mexico , 2020 .

[48]  Charles Kenny,et al.  Superfast broadband: is it really worth a subsidy? , 2011 .

[49]  B. Ahmad,et al.  Pricing of mobile phone attributes at the retail level in a developing country: Hedonic analysis , 2019, Telecommunications Policy.

[50]  Marco Ruffini,et al.  Evolution of Access Network Sharing and Its Role in 5G Networks , 2019, Applied Sciences.

[51]  Sofie Verbrugge,et al.  The involvement of utilities in the development of broadband infrastructure: A comparison of EU case studies , 2018, Telecommunications Policy.

[52]  Zoraida Frias,et al.  Assessing the capacity, coverage and cost of 5G infrastructure strategies: Analysis of the Netherlands , 2019, Telematics Informatics.

[53]  Victoria Kayser,et al.  Scenario development using web mining for outlining technology futures , 2020 .

[54]  Gregory L. Rosston,et al.  Increasing Low-Income Broadband Adoption through Private Incentives , 2019, Telecommunications Policy.

[55]  Scott J. Wallsten,et al.  An Econometric Analysis of Telecom Competition, Privatization, and Regulation in Africa and Latin America , 2001 .

[56]  Tinku Mohamed Rasheed,et al.  On the role of infrastructure sharing for mobile network operators in emerging markets , 2011, Comput. Networks.

[57]  Wolfgang Briglauer,et al.  Go for Gigabit? First Evidence on Economic Benefits of High‐Speed Broadband Technologies in Europe , 2019, JCMS: Journal of Common Market Studies.

[58]  Adam V. Gordon Limits and longevity: A model for scenarios that influence the future , 2020 .

[59]  Victor Medeiros,et al.  Infrastructure and household poverty in Brazil: A regional approach using multilevel models , 2021, World Development.

[60]  Prieto-Egido Ignacio,et al.  Small rural operators techno-economic analysis to bring mobile services to isolated communities: The case of Peru Amazon rainforest , 2020 .

[61]  Brian E. Whitacre,et al.  Broadband metrics and job productivity: a look at county-level data , 2020 .

[62]  Mikko Valkama,et al.  Techno-economical analysis and comparison of legacy and ultra-dense small cell networks , 2014, 39th Annual IEEE Conference on Local Computer Networks Workshops.

[63]  Seppo Yrjola,et al.  Technology Antecedents of the Platform-Based Ecosystemic Business Models beyond 5G , 2020, 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[64]  J. Prieger The Broadband Digital Divide and the Economic Benefits of Mobile Broadband for Rural Areas , 2012 .

[65]  Shyam Ranganathan,et al.  Modeling interlinkages between sustainable development goals using network analysis , 2021 .

[66]  The impact of telecommunications regulation on less well-off Mexican households , 2020 .

[67]  Xianfu Chen,et al.  Spectrum access options for vertical network service providers in 5G , 2020 .

[68]  W. Lehr Economics of Spectrum Sharing, Valuation, and Secondary Markets , 2020 .

[69]  Dimitris Varoutas,et al.  Comparative techno-economic evaluation of LTE fixed wireless access, FTTdp G.fast and FTTC VDSL network deployment for providing 30 Mbps broadband services in rural areas , 2020 .

[70]  Pantelis Koutroumpis,et al.  The economic impact of broadband on growth: A simultaneous approach , 2009 .

[71]  C. Reddick,et al.  Determinants of broadband access and affordability: An analysis of a community survey on the digital divide , 2020, Cities.

[72]  Nasr G. Elbahnasawy E-Government, Internet Adoption, and Corruption: An Empirical Investigation , 2014 .

[73]  G. Tadesse,et al.  Mobile Phones and Farmers’ Marketing Decisions in Ethiopia , 2015 .

[74]  武藤 めぐみ The impact of mobile phone coverage expansion on market participation and migration : panel data evidence from Uganda , 2009 .

[75]  Sundeep Rangan,et al.  Resource sharing in 5G mmWave cellular networks , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[76]  Matti Latva-aho,et al.  Radio Resource Sharing and Edge Caching with Latency Constraint for Local 5G Operator: Geometric Programming Meets Stackelberg Game , 2021, IEEE Transactions on Mobile Computing.

[77]  M. Hilbert,et al.  When is Cheap, Cheap Enough to Bridge the Digital Divide? Modeling Income Related Structural Challenges of Technology Diffusion in Latin America , 2010 .

[78]  Bernd Carsten Stahl,et al.  Policy scenarios as an instrument for policymakers , 2020 .

[79]  Maude Hasbi,et al.  Determinants of mobile broadband use in developing economies: Evidence from Sub-Saharan Africa , 2020, Telecommunications Policy.

[80]  M. Bourreau,et al.  Assessing fifteen years of State Aid for broadband in the European Union: A quantitative analysis , 2020 .

[81]  Adnan Noor Mian,et al.  Low-cost sustainable wireless Internet service for rural areas , 2016, Wireless Networks.

[82]  Zoraida Frias,et al.  Techno-economic analysis of femtocell deployment in long-term evolution networks , 2012, EURASIP J. Wirel. Commun. Netw..

[83]  G. Moshi,et al.  Effects of political stability and sector regulations on investments in African mobile markets , 2017 .

[84]  Oulsen,et al.  The Arrival of Fast Internet and Employment in Africa , 2018 .

[85]  B. Everitt,et al.  A Handbook of Statistical Analyses using R , 2006 .

[86]  Peter Karlsson,et al.  Relation between base station characteristics and cost structure in cellular systems , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[87]  Olabisi Emmanuel Falowo,et al.  Latency-Aware Dynamic Resource Allocation Scheme for Multi-Tier 5G Network: A Network Slicing-Multitenancy Scenario , 2020, IEEE Access.

[88]  C. Middleton,et al.  Rural Broadband Development in Canada’s Provinces: An Overview of Policy Approaches , 2014 .

[89]  Harald Gruber,et al.  The economics of mobile telecommunications , 2005 .

[90]  Julius Kusuma,et al.  Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6 , 2020, Telecommunications Policy.

[91]  Irene Bertschek,et al.  Mobile and More Productive? Firm-Level Evidence on the Productivity Effects of Mobile Internet Use , 2015 .

[92]  G. Zimmermann,et al.  A business case for 5G mobile broadband in a dense urban area , 2019, Telecommunications Policy.

[93]  Yasushi Umeda,et al.  Scenario structuring methodology for computer-aided scenario design: An application to envisioning sustainable futures , 2020 .

[94]  E. Oughton,et al.  The cost, coverage and rollout implications of 5G infrastructure in Britain , 2017, Telecommunications Policy.

[95]  M. Birkin,et al.  Future demand for infrastructure services , 2016 .

[96]  Caroline Paunov,et al.  Has the Internet Fostered Inclusive Innovation in the Developing World , 2016 .

[97]  Teodosio Pérez Amaral,et al.  The implications of 5G networks: Paving the way for mobile innovation? , 2018, Telecommunications Policy.

[98]  Ning Wang,et al.  Capacity and costs for 5G networks in dense urban areas , 2018, IET Commun..

[99]  E. Tapinos,et al.  Scenario planning: Is the ‘box’ black or clear? It depends , 2020 .

[100]  Martin B. H. Weiss,et al.  On the Application of Blockchains to Spectrum Management , 2019, IEEE Transactions on Cognitive Communications and Networking.

[101]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[102]  Francesco Musumeci,et al.  C-RAN baseband pooling: Cost model and multiplexing gain analysis , 2017, 2017 19th International Conference on Transparent Optical Networks (ICTON).

[103]  Marwan Krunz,et al.  Strategic Network Infrastructure Sharing through Backup Reservation in a Competitive Environment , 2019, 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[104]  Vincenzo Sciancalepore,et al.  From network sharing to multi-tenancy: The 5G network slice broker , 2016, IEEE Communications Magazine.

[105]  W. Dhewanto,et al.  Two scenarios for 5G deployment in Indonesia , 2020, Technological Forecasting and Social Change.