scholarly journals Spectrum Gap Analysis With Practical Solutions for Future Mobile Data Traffic Growth in Malaysia

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 24910-24933 ◽  
Author(s):  
Ibraheem Shayea ◽  
Marwan Hadri Azmi ◽  
Tharek Abd. Rahman ◽  
Mustafa Ergen ◽  
Chua Tien Han ◽  
...  
Keyword(s):  
Gap Analysis ◽  
Data Traffic ◽  
Mobile Data ◽  
Traffic Growth

Mobile Network Offloading

2012 ◽  
Vol 4 (3) ◽  
pp. 40-53 ◽  
Author(s):  
Michail Katsigiannis
Keyword(s):  
Energy Consumption ◽  
Access Network ◽  
Mobile Network ◽  
Local Area ◽  
Data Traffic ◽  
Mobile Data ◽  
Mobile Operator ◽  
Radio Access ◽  
Traffic Growth ◽  
Deployment Cost

The mobile data traffic growth and the high fraction of indoor-generated traffic push mobile operators to devise new deployment strategies such as mobile network offloading. The purpose of this paper is to evaluate the energy consumption and the deployment cost, based on the demanded traffic level, for a joint macro-femtocell network which enables mobile network offloading in Helsinki Metropolitan Area by 2015. This deployment is compared to an optimized only macro cellular network. The study tries to resolve under what conditions, in terms of demanded traffic, deployment cost and energy consumption, a mobile operator should deploy femtocells. Assuming that only the new network infrastructure is installed by 2015, the results show that wide-to-local area offloading is beneficial for a mobile operator to handle the mobile data traffic growth, reduce the deployment costs and the energy consumption of the radio access network.

scholarly journals Mobile Data Traffic Offloading through Opportunistic Vehicular Communications

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Liqiang Qiao
Keyword(s):  
Cellular Network ◽  
Maximization Problem ◽  
Vehicular Communications ◽  
Data Traffic ◽  
Reachability Graph ◽  
Mobile Data ◽  
Source Selection ◽  
Traffic Offloading ◽  
Future Utility ◽  
Initial Source

To cope with an exponentially increasing demand on mobile data traffic in cellular network, proximity-based opportunistic vehicular communications can be exploited as a complementary mean to offload and reduce the load of cellular network. In this paper, we propose a two-phase approach for mobile data traffic offloading, which exploits opportunistic contact and future utility with user mobility. The proposed approach includes one phase of initial source selection and subsequent phase of data forwarding. In phase 1, we build a weighted reachability graph, which is a very useful high-level abstraction for studying vehicular communication over time. Then, we propose an initial source selection algorithm, named VRank, and apply it in the weight reachability graph to identify some influential vehicles to serve as initial sources according to the rank of VRank. In phase 2, we formulate the forwarding schedule problem as a global utility maximization problem, which takes heterogeneous user interest and future utility contribution into consideration. Then, we propose an efficient scheme MGUP to solve the problem by providing a solution that decides which object should be broadcast. The effectiveness of our algorithm is verified through extensive simulation using real vehicular trace.

scholarly journals Mobile data traffic modeling: Revealing temporal facets

2017 ◽  
Vol 112 ◽  
pp. 176-193 ◽  
Author(s):  
Eduardo Mucelli Rezende Oliveira ◽  
Aline Carneiro Viana ◽  
K.P. Naveen ◽  
Carlos Sarraute
Keyword(s):  
Traffic Modeling ◽  
Data Traffic ◽  
Mobile Data

scholarly journals A Fast Link Initialization Protocol for Beam-Steering based Cellular Backhaul Systems

2015 ◽  
Vol 7 (2) ◽  
pp. 113
Author(s):  
Markus Petri ◽  
Marcus Ehrig ◽  
Markus Günther
Keyword(s):  
State Of The Art ◽  
Beam Steering ◽  
Small Cell ◽  
Base Stations ◽  
Data Traffic ◽  
Mobile Data ◽  
User Expectations ◽  
Network Topologies ◽  
Speed Up ◽  
Directive Antennas

<p>To deal with the enormous increase of mobile data traffic, new cellular network topologies are necessary. The reduction of cell area and the usage of light-weighted base stations serving only a handful of users, commonly known as the small cell approach, seems to be a suitable solution addressing changes in user expectations and usage scenarios. This paper is an extended version of [1], where current challenges of small cell deployments were presented from a backhaul perspective. A mesh-type backhaul network topology based on beam-steering millimeter-wave systems was proposed as a future-proof solution. In this paper, we focus on a link initialization protocol for beam-steering with highly directive antennas. Special requirements and problems for link setup are analyzed. Based on that, a fast protocol for link initialization is presented and it is evaluated in terms of the resulting initialization speed-up compared to state-of-the-art solutions. Furthermore, a potential approach for extending the fast link initialization protocol to support point-to-multipoint connections is given.</p>

Airtel Zero: Data Pricing, Two Sided Markets Led Business Models and Net Neutrality

2016 ◽  
pp. 1-12
Author(s):  
Arvind Sahay
Keyword(s):  
Web Sites ◽  
Business Models ◽  
Service Providers ◽  
Free Access ◽  
Net Neutrality ◽  
Data Traffic ◽  
Mobile Data ◽  
Data Services ◽  
Mobile Operator ◽  
Two Sided Markets

Airtel, the leading mobile operator in India was going to launch the “Airtel Zero” platform that would charge service providers and OTT providers on the internet for mobile data traffic but would allow end consumers free access to the web sites that were signed up for the platform. The case revolves around the questions of pricing these data services to the service providers in a market where the price to one set of customers (the end consumer) was not independent of the price to another set of customers (the OTT service providers) - typical of two sided markets. Issues of net neutrality and competition have been considered alongside.

Measuring the impact of redirecting and offloading mobile data traffic

2013 ◽  
Vol 18 (1) ◽  
pp. 81-103 ◽  
Author(s):  
Robert A. Novo ◽  
Christopher J. Davolos ◽  
Z. John Zhao
Keyword(s):  
Data Traffic ◽  
Mobile Data ◽  
The Impact
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