A Demand Model for Mobile Data Traffic in the 5G Era

Author(s):  
Michail Katsigiannis

This chapter examines how to estimate and forecast the market demand of mobile data traffic in the 5G era. The research objective is to develop a demand model for forecasting the market price and quantity of traffic in the Finnish mobile data communications market for the period between 2016 and 2020. The market price of traffic unit (GB/month), quantity, revenue, and profits are empirically estimated and forecast. The results show that the improvements of network performance, reflected by the user experienced data rate, cause a drop in the price from 0.8 to 0.27 € per GB/month between 2016 and 2020 (tenfold traffic growth). Also, a more than threefold increase is shown in mobile data revenues, whereas the profitability remains at a high level for the minimum marginal cost of 0.08 €.

2004 ◽  
Vol 36 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Michael R. Reed ◽  
Sayed H. Saghaian

A residual demand model for beef exports to Japan is specified and estimated. The objective is to estimate the extent of market power. It is assumed that each exporting country faces a downward-sloping residual demand curve, which reflects the market demand minus the supplies of competitors, and that exporters maximize profit through their output decisions. The analysis is disaggregated by beef cut and form to capture the variation by beef market segments. The results indicate that the highest markup of price over marginal cost belongs to U.S. frozen ribs, the only indication of market power by U.S. exporters. Canada is found to have limited market power, whereas Australia and New Zealand enjoy some market power, including five chilled beef categories.


2017 ◽  
Vol 5 ◽  
pp. 300-306
Author(s):  
Irena Malolli

Mobile data traffic has dramatically increased during the recent years. The high demand for data communication increased the challenges for network operators. Communication Network operators are investing to provide more capacities and they are looking for innovative ways to cope with increased market demand for broadband data communication.The liberalization of the telecommunication market and the competition put the operators under pressure to keep high quality services with low cost. New pricing policies are introduced in order to maintain market share and keep their users in a competitive market. The battle with OTT makes the situation more critical.This article will analyze the situation in the field of data communication, compare different instruments which are used or are under development in different countries and in Albania. The article will analyze the pricing policies used for data communication as a solution to cope with the high demand of data traffic. The article will identify some critical issues on these practices, draw conclusions and give some recommendations on the proper ways to keep the right balance between technical and commercial solutions and user experience/satisfaction.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Liqiang Qiao

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.


2019 ◽  
Vol 8 (3) ◽  
pp. 890-897
Author(s):  
Y. J. I. A. Yaqoob ◽  
W. L. Pang ◽  
S. K. Wong ◽  
K. Y. Chan

The continuous growth in mobile data traffic and limited license wireless spectrum have led to dramatically increase the demand of the radio spectrum. It is widespread the concern about the coexistence of long term evolution (LTE) and Wi-Fi in the unlicensed band. There are several techniques have been proposed to enable the coexistence of LTE and Wi-Fi in the unlicensed band, but these works are targeted on the impact of the LTE to the Wi-Fi network performance. An experiment is carried out in this work to evaluate the impact of Wi-Fi signal on the video streaming in the LTE network. The experimental test comprised of the national instrument (NI) universal software radio peripheral (USRP) 2953R that is controlled by the LabVIEW Communication LTE application framework. Extensiveexperiments are carried out under two scenarios, i.e. (1) Coexistence of LTE and Wi-Fi signal, (2) LTE signal only. Performance evaluations are carried out with different Modulation and coding schemes (MCS) values and different mode of operations, i.e. frequency division duplex (FDD) and time division duplex (TDD) mode. The results illustrated that the interference from Wi-Fi signal caused the performance degradation of the LTE network in throughput and the power received by user equipment (UE).


2020 ◽  
Vol 17 (1) ◽  
pp. 51-70
Author(s):  
Jesús Calle-Cancho ◽  
José-Manuel Mendoza-Rubio ◽  
José-Luis González-Sánchez ◽  
David Cortés-Polo ◽  
Javier Carmona-Murillo

The number of mobile subscribers, as well as the data traffic generated by them, is increasing exponentially with the growth of wireless smart devices and the number of network services that they can support. This significant growth is pushing mobile network operators towards new solutions to improve their network performance and efficiency. Thus, the appearance of Software Defined Networking (SDN) can overcome the limitations of current deployments through decoupling the network control plane from the data plane, allowing higher flexibility and programmability to the network. In this context, the process of handling user mobility becomes an essential part of future mobile networks. Taking advantage of the benefits that SDN brings, in this article we present a novel mobility management solution. This proposal avoids the use of IP-IP tunnels and it adds the dynamic flow management capability provided by SDN. In order to analyse performance, an analytical model is developed to compare it with NB-DMM (Network-based DMM), one of the main DMM (Distributed Mobility Management) solutions. Additionally, performance is also evaluated with an experimental testbed. The results allow handover latency in real scenarios and numerical investigations to be measured, and also show that SR-DMM achieves better efficiency in terms of signaling and routing cost than NB-DMM solution.


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

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

2015 ◽  
Vol 7 (2) ◽  
pp. 113
Author(s):  
Markus Petri ◽  
Marcus Ehrig ◽  
Markus Günther

<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>


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