Policy options for digital infrastructure strategies: A simulation model
for broadband universal service in Africa
- URL: http://arxiv.org/abs/2102.03561v1
- Date: Sat, 6 Feb 2021 11:09:14 GMT
- Title: Policy options for digital infrastructure strategies: A simulation model
for broadband universal service in Africa
- Authors: Edward Oughton
- Abstract summary: More than one billion people still live without internet access.
This paper develops open-source software to test broadband universal service strategies.
Private and government costs of different infrastructure decisions are quantified in six East and West African countries.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Internet access is essential for economic development and helping to deliver
the Sustainable Development Goals, especially as even basic broadband can
revolutionize available economic opportunities. Yet, more than one billion
people still live without internet access. Governments must make strategic
choices to connect these citizens, but currently have few independent,
transparent and scientifically reproducible assessments to rely on. This paper
develops open-source software to test broadband universal service strategies
which meet the 10 Mbps target being considered by the UN Broadband Commission.
The private and government costs of different infrastructure decisions are
quantified in six East and West African countries (C\^ote D`Ivoire, Mali,
Senegal, Kenya, Tanzania and Uganda). The results provide strong evidence that
`leapfrogging` straight to 4G in unconnected areas is the least-cost option for
providing broadband universal service, with savings between 13-51% over 3G. The
results also demonstrate how the extraction of spectrum and tax revenues in
unviable markets provide no net benefit, as for every $1 taken in revenue, a $1
infrastructure subsidy is required from government to achieve broadband
universal service. Importantly, the use of a Shared Rural Network in unviable
locations provides impressive cost savings (up to 78%), while retaining the
benefits of dynamic infrastructure competition in viable urban and suburban
areas. This paper provides evidence to design national and international
policies aimed at broadband universal service.
Related papers
- A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles [49.86094523878003]
We propose a decentralized incentive mechanism for mobile AIGC service allocation.
We employ multi-agent deep reinforcement learning to find the balance between the supply of AIGC services on RSUs and user demand for services within the IoV context.
arXiv Detail & Related papers (2024-03-29T12:46:07Z) - Slicing the Network: Maintaining Neutrality, Protecting Privacy, and
Promoting Competition [0.0]
5G mobile networks enable network operators to engage in a technique called network slicing.
The portion of a network that is sliced can be used to provide a suite of different service offerings.
Report describes the technologies used for network slicing and outlines recommendations for both operators and regulators.
arXiv Detail & Related papers (2023-08-10T19:13:07Z) - A Large-scale Examination of "Socioeconomic" Fairness in Mobile Networks [2.311823705001036]
We make a first step towards understanding the relation between socioeconomic status of customers and network performance.
The scope of our study spans various aspects, including urban geography, network resource deployment, data consumption, and device distribution.
The results are based on an actual infrastructure in multiple cities, covering millions of users densely covering the socioeconomic scale.
arXiv Detail & Related papers (2023-04-20T10:03:51Z) - Bridging the Urban-Rural Connectivity Gap through Intelligent Space,
Air, and Ground Networks [68.8204255655161]
Connectivity in rural areas is one of the main challenges of communication networks.
We highlight the latest works on rural connectivity, discuss the solutions for terrestrial networks, and study the potential benefits of nonterrestrial networks.
We discuss the rural connectivity challenges and highlight the latest projects and research and the empowerment of networks using AI.
arXiv Detail & Related papers (2022-02-25T13:40:35Z) - Supportive 5G Infrastructure Policies are Essential for Universal 6G:
Assessment using an Open-source Techno-economic Simulation Model utilizing
Remote Sensing [0.0]
We are still far from providing universal and affordable broadband connectivity, despite this being a key part of the Sustainable Development Goals (Target 9.c)
This paper undertakes quantitative assessment demonstrating how current 5G policies affect universal broadband.
We find that by eliminating the spectrum licensing costs, 100% 5G population coverage can viably be achieved using fiber backhaul.
arXiv Detail & Related papers (2021-02-16T11:15:46Z) - Locally Free Weight Sharing for Network Width Search [55.155969155967284]
Searching for network width is an effective way to slim deep neural networks with hardware budgets.
We propose a locally free weight sharing strategy (CafeNet) to better evaluate each width.
Our method can further boost the benchmark NAS network EfficientNet-B0 by 0.41% via searching its width more delicately.
arXiv Detail & Related papers (2021-02-10T04:36:09Z) - Policy choices can help keep 4G and 5G universal broadband affordable [0.0]
This paper compares the global cost-effectiveness of different infrastructure strategies for the developing world to achieve universal 4G or 5G mobile broadband.
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.
arXiv Detail & Related papers (2021-01-19T19:04:41Z) - GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning [50.90625274621288]
Disparate access to resources by different subpopulations is a prevalent issue in societal and sociotechnical networks.
We introduce a new class of problems, Graph Augmentation for Equitable Access (GAEA), to enhance equity in networked systems by editing graph edges under budget constraints.
arXiv Detail & Related papers (2020-12-07T18:29:32Z) - A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From
Communications to Sensing and Intelligence [152.89360859658296]
5G networks need to support three typical usage scenarios, namely, enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC)
On the one hand, UAVs can be leveraged as cost-effective aerial platforms to provide ground users with enhanced communication services by exploiting their high cruising altitude and controllable maneuverability in 3D space.
On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference.
arXiv Detail & Related papers (2020-10-19T08:56:04Z) - Predicting cell phone adoption metrics using satellite imagery [1.2691047660244335]
Approximately half of the global population does not have access to the internet, even though digital connectivity can reduce poverty by revolutionizing economic development opportunities.
Mobile Network Operators and governments struggle to effectively determine if infrastructure investments are viable, especially in greenfield areas where demand is unknown.
We present a machine learning method that uses publicly available satellite imagery to predict telecoms demand metrics, including cell phone adoption and spending on mobile services, and apply the method to Malawi and Ethiopia.
arXiv Detail & Related papers (2020-06-12T16:47:45Z) - Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050.
The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
arXiv Detail & Related papers (2020-05-09T13:53:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.