Future mobile network: A framework for enabling SDN in mobile operator networks

2016 ◽  
pp. 35-42
Author(s):  
Xu Xia ◽  
Zhenqiang Sun ◽  
Huiling Zhao ◽  
Fan Shi ◽  
Congjie Mao ◽  
...  
Keyword(s):  
Mobile Network ◽  
Mobile Operator

scholarly journals Non-3GPP Access Security in 5G

2020 ◽  
pp. 41-56
Author(s):  
Andreas Kunz ◽  
Apostolis Salkintzis
Keyword(s):  
Business Models ◽  
Mobile Network ◽  
Access Point ◽  
Current Status ◽  
Core Network ◽  
Network Access ◽  
Mobile Operator ◽  
Access Security ◽  
Evolved Packet Core

Non-3GPP Access technologies such as WLAN technologies can be connected to the 3GPP core network like EPC (Evolved Packet Core) in various ways based on the operator’s business models and architectural preferences. The desire to provide this access to the 5G core network, currently defined in 3GPP, requires the design of new protocols and procedures in order to fulfill all requirements. This paper describes the current status of the specification in Release 15 of the untrusted non-3GPP access where the mobile operator does not trust the access point and tunnels all traffic to a trusted gateway in the mobile network. Further, the paper provides an outlook of the new Release 16 feature for trusted non-3GPP access, i.e. the mobile operator trusts the access point, as well as the feature for 5G core network access from WLAN devices with 3GPP credentials that do not support the Non Access Stratum protocol.

scholarly journals Guiding principles to maintain public trust in the use of mobile operator data for policy purposes

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Ronald Jansen ◽  
Karoly Kovacs ◽  
Siim Esko ◽  
Erki Saluveer ◽  
Kaja Sõstra ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Service Providers ◽  
Mobile Network ◽  
Public Trust ◽  
Sensitive Data ◽  
Mobile Operator ◽  
Citizen Support ◽  
Set Up ◽  
Professional Independence ◽  
Mobile Network Operators

Abstract The COVID-19 pandemic has accelerated the use of mobile operator data to support public policy, although without a universal governance framework for its application. This article describes five principles to guide and assist statistical agencies, mobile network operators and intermediary service providers, who are actively working on projects using mobile operator data to support governments in monitoring the effectiveness of its COVID-19 related interventions. These are principles of necessity and proportionality, of professional independence, of privacy protection, of commitment to quality, and of international comparability. Compliance with each of these principles can help maintain public trust in the handling of these sensitive data and their results, and therefore keep citizen support for government policies. Three projects (in Estonia, Ghana, and the Gambia) were described and reviewed with respect to the compliance and applicability of the five principles. Most attention was placed on privacy protection, somewhat at the expense of the quality of the compiled indicators. The necessity and proportionality in the choice of mobile operator data can be very well justified given the need for timely, frequent and granular indicators. Explicitly addressing the five principles in the preparation of a project should give confidence to the statistical agency and its partners, that enough care has been exercised in the set up and implementation of the project, and should convey trust to public and government in the use mobile operator data for policy purposes.

scholarly journals Classification of Mobile Customers Behavior and Usage Patterns using Self-Organizing Neural Networks

2015 ◽  
Vol 9 (4) ◽  
pp. 4 ◽  
Author(s):  
Rawan Ghnemat ◽  
Edward Jaser
Keyword(s):  
Mobile Network ◽  
Marketing Strategies ◽  
Self Organizing Maps ◽  
Mobile Operator ◽  
Customer Preferences ◽  
High Penetration ◽  
Usage Patterns ◽  
Self Organizing

Mobile usage is witnessing a booming growth attributed to advances in smartphone technologies, the extremely high penetration rate and the availability of popular mobile applications. Telecommunication markets have been injecting huge investments to fulfil the sheer demand on wireless network and mobile services as a result. Such potentials highlights the importance of behavioral segmentation of mobile network users to target different sectors of customers with efficient marketing strategies and ensure customer retention in light of the intense competition. A major hurdle in applying this approach is the number of dimensions underlying customer preferences which makes it hard to visualize similarities among customers and formulate behavioral segments correctly and efficiently. In this paper, we use self-organizing maps, to detect different usage patterns of mobile users. The proposed system is tested using a large sample of customers’ data provided by major mobile operator in Jordan. The study detected different behavioural segments in this market and highlights the role of data users in modern mobile markets. In this context, we give detailed analysis of our results on user behavioral segmentation.

scholarly journals Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
G. Koutitas ◽  
L. Chiaraviglio ◽  
Delia Ciullo ◽  
M. Meo ◽  
L. Tassiulas
Keyword(s):  
Energy Savings ◽  
Mobile Network ◽  
Basic Element ◽  
Base Station ◽  
Base Stations ◽  
Energy Aware ◽  
Urban District ◽  
Mobile Operator ◽  
Deterministic Algorithms ◽  
Management Scheme

We compare the performance of three base station management schemes on three different network topologies. In addition, we explore the effect of offloading traffic to heterogeneous femtocell layer upon energy savings taking into account the increase of base station switch-off time intervals. Fairness between mobile operator and femtocell owners is maintained since current femtocell technologies present flat power consumption curves with respect to served traffic. We model two different user-to-femtocell association rules in order to capture realistic and maximum gains from the heterogeneous network. To provide accurate findings and a holistic overview of the techniques, we explore a real urban district where channel estimations and power control are modeled using deterministic algorithms. Finally, we explore energy efficiency metrics that capture savings in the mobile network operator, the required watts per user and watts per bitrate. It is found that the newly established pseudo distributed management scheme is the most preferable solution for practical implementations and together with the femotcell layer the network can handle dynamic load control that is regarded as the basic element of future demand response programs.

scholarly journals Location–Price Competition in Mobile Operator Market

2019 ◽  
Vol 21 (03) ◽  
pp. 1850015
Author(s):  
Vladimir Mazalov ◽  
Andrey Lukyanenko ◽  
Andrei Gurtov
Keyword(s):  
Price Competition ◽  
Mobile Network ◽  
Logistic Function ◽  
Theoretic Model ◽  
Two Stage ◽  
Mobile Operator ◽  
Game Theoretic ◽  
Stage Game ◽  
Game Theoretic Model ◽  
Mobile Network Operators

In this paper, we propose a game-theoretic model of the mobile network market. The market is presented by three sides: primary mobile network operators (MNO), mobile virtual network operators (MVNO) and consumers of the services. MVNO are mobile operators without their own infrastructure. They buy resources from MNO and compete with other MVNO for the consumers selling a service in the mobile network market. We construct a two-stage game. In the first stage, MVNO (players) select the MNO, one or several, and then announce the price for their service for the consumers in this MNO. After the profile of prices is determined, the consumers are distributed among MVNOs following the logistic function. The equilibrium in this two-stage game is constructed. For identical consumers, the analytic formulas for the solution are derived.

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.

Adaptive Video Streaming Using Bandwidth Estimation for 3.5G Mobile Network

2009 ◽  
Vol E92-B (12) ◽  
pp. 3893-3902
Author(s):  
Hyeong-Min NAM ◽  
Chun-Su PARK ◽  
Seung-Won JUNG ◽  
Sung-Jea KO
Keyword(s):  
Video Streaming ◽  
Mobile Network ◽  
Bandwidth Estimation ◽  
Adaptive Video Streaming ◽  
Adaptive Video

Study of Ad hoc Networks with Reference to MANET, VANET, FANET

2017 ◽  
Vol 7 (7) ◽  
pp. 390 ◽  
Author(s):  
Bodhy Krishna .S
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc Network ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Network ◽  
Wireless Ad Hoc Network ◽  
Mobile Ad Hoc ◽  
Autonomous Nodes ◽  
Hoc Networks ◽  
Network Administration

A wireless ad hoc network is a decentralized type of wireless network. It is a type of temporary computer-to-computer connection. It is a spontaneous network which includes mobile ad-hoc networks (MANET), vehicular ad-hoc networks (VANET) and Flying ad-hoc networks (FANET). A MANET is a network that has many free or autonomous nodes often composed of mobile devices that can operate without strict top-down network administration [1]. A VANET is a sub form of MANET. It is a technology that uses vehicles as nodes in a network to create a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. This paper discusses the characteristics of these three ad-hoc networks.

Design a Cellular System with Different Cluster Size and Investigate the Co Channel Interference Assuming a Limited Geographical Area with Fixed Channel Assignment Strategy

2017 ◽  
Vol 3 (04) ◽  
Author(s):  
Md.Taz Uddin, Ahmed al Marzean, Md Rafiqul Islam, Shahjahan Ahmed
Keyword(s):  
Channel Assignment ◽  
Cluster Size ◽  
Geographical Area ◽  
Cellular System ◽  
Communication Industry ◽  
Mobile Operator ◽  
Channel Interference ◽  
Assignment Strategy ◽  
Fixed Channel Assignment ◽  
Mobile Communication Industry

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).

SIMULASI NEURAL NETWORK UNTUK PREDIKSI LOKASI USER PADA MOBILE NETWORK

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Alexander Driyarkoro ◽  
Nurain Silalahi ◽  
Joko Haryatno
Keyword(s):  
Neural Network ◽  
Mobile Station ◽  
Mobile Network ◽  
Learning Rate ◽  
Noise Factor ◽  
Optimal Learning ◽  
Air Interface ◽  
Location Area ◽  
Optimal Learning Rate

Prediksi lokasi user pada mobile network merupakan hal sangat penting, karena routing panggilan pada mobile station (MS) bergantung pada posisi MS saat itu. Mobilitas MS yang cukup tinggi, terutama di daerah perkotaan, menyebabkan pencarian (tracking) MS akan berpengaruh pada kinerja sistem mobile network, khususnya dalam hal efisiensi kanal kontrol pada air interface. Salah satu bentuk pencarian adalah dengan mengetahui perilaku gerakan yang menentukan posisi MS. Dari MSC/VLR dapat diketahui posisi MS pada waktu tertentu. Karena location area suatu MS selalu unik dari waktu ke waktu, dan hal itu merupakan perilaku (behaviour) MS, maka dapat dibuat profil pergerakannya. Dengan menggunakan Neural Network (NN) akan diperoleh location area MS pada masa yang akan datang. Model NN yang digunakan pada penelitian ini adalah Propagasi Balik. Beberapa parameter NN yang diteliti dalam mempengaruhi kinerja prediksi lokasi user meliputi noise factor, momentum dan learning rate. Pada penelitian ini diperoleh nilai optimal learning rate = 0,5 dan noise factor = 1.

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