scholarly journals Mobility management: Deployment and adaptability aspects through mobile data traffic analysis

2016 ◽  
Vol 95 ◽  
pp. 3-14 ◽  
Author(s):  
M. Isabel Sanchez ◽  
Engin Zeydan ◽  
Antonio de la Oliva ◽  
A. Serdar Tan ◽  
Utku Yabas ◽  
...  
Keyword(s):  
Mobility Management ◽  
Traffic Analysis ◽  
Data Traffic ◽  
Mobile Data

A Proposal for Enhancing the Mobility Management in the Future 3GPP Architectures

2012 ◽  
pp. 190-209
Author(s):  
Joel Penhoat ◽  
Karine Guillouard ◽  
Servane Bonjour ◽  
Pierrick Seïté
Keyword(s):  
Mobility Management ◽  
Radio Networks ◽  
Data Traffic ◽  
Integrated Network ◽  
Mobile Data ◽  
The Future ◽  
Management Capabilities

The management of the mobility between radio networks composed of heterogeneous radio technologies, called inter-access mobility management, provides the capability to tie together heterogeneous radio networks into an integrated network. The 3GPP architectures with well-designed inter-access mobility management capabilities are a part of the solution to cope with the growth of the mobile data traffic. This paper reviews the 3GPP architectures to highlight those with these capabilities. In order to evaluate if the mobility management is well-designed into these architectures, the authors describe the phases making up the management of the mobility and design an evaluation grid to assess the integration of these phases into the highlighted architectures. Since the assessment shows the existence of loopholes in the design of the inter-access mobility management, this paper proposes to enhance the 3GPP architectures by implementing a method called Hierarchical and Distributed Handover.

A Proposal for Enhancing the Mobility Management in the Future 3GPP Architectures

2011 ◽  
Vol 3 (2) ◽  
pp. 62-81
Author(s):  
J. Penhoat ◽  
K. Guillouard ◽  
S. Bonjour ◽  
P. Seïté
Keyword(s):  
Mobility Management ◽  
Radio Networks ◽  
Data Traffic ◽  
Integrated Network ◽  
Mobile Data ◽  
The Future ◽  
Management Capabilities

The management of the mobility between radio networks composed of heterogeneous radio technologies, called inter-access mobility management, provides the capability to tie together heterogeneous radio networks into an integrated network. The 3GPP architectures with well-designed inter-access mobility management capabilities are a part of the solution to cope with the growth of the mobile data traffic. This paper reviews the 3GPP architectures to highlight those with these capabilities. In order to evaluate if the mobility management is well-designed into these architectures, the authors describe the phases making up the management of the mobility and design an evaluation grid to assess the integration of these phases into the highlighted architectures. Since the assessment shows the existence of loopholes in the design of the inter-access mobility management, this paper proposes to enhance the 3GPP architectures by implementing a method called Hierarchical and Distributed Handover.

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 Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

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
Keyword(s):  
Mobile Networks ◽  
Mobility Management ◽  
Network Performance ◽  
Mobile Network ◽  
Network Control ◽  
Network Services ◽  
Smart Devices ◽  
Network Architectures ◽  
Data Traffic ◽  
Management Capability

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.

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 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
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