scholarly journals Multihoming with Dynamic Mobile Network Selection

2018 ◽  
Vol 14 (2) ◽  
pp. 17-32
Author(s):  
Alexandr Vesselkov ◽  
Heikki Hämmäinen ◽  
Juuso Töyli
Keyword(s):  
Mobile Network ◽  
Business Interests ◽  
Dynamic Switching ◽  
Multiple Factors ◽  
High Diffusion ◽  
White Spots ◽  
Qualitative System Dynamics ◽  
Network Overload ◽  
Dynamics Models

This article describes how mobile operators occasionally fail to provide adequate service quality due to network overload, blackouts, or coverage white spots. Customers can increase the quality of connections by multihoming, i.e. using subscriptions of several operators. Multihoming is facilitated by an innovative reprogrammable embedded SIM (eSIM) that can enable dynamic switching between networks. Although eSIM multihoming is advantageous, its future is not definite, as it is affected by multiple factors and actors with conflicting business interests. This paper defines scenarios for the evolution of eSIM multihoming and its possible impact on competition by constructing qualitative system dynamics models based on expert interviews. The results show that depending on market conditions and actions of stakeholders, multihoming may reach high diffusion, find application in special use cases, or fail to take off. With high diffusion, competition between operators will become more dynamic, and market share will be defined by the number of served sessions.

scholarly journals A Survey on Client Throughput Prediction Algorithms in Wired and Wireless Networks

2022 ◽  
Vol 54 (9) ◽  
pp. 1-33
Author(s):  
Josef Schmid ◽  
Alfred Höss ◽  
Björn W. Schuller
Keyword(s):  
Transmission Control Protocol ◽  
Mobile Network ◽  
Transmission Control ◽  
Available Bandwidth ◽  
Smoothing Methods ◽  
White Spots ◽  
Modern Learning ◽  
Quality Of Service Parameters ◽  
Insight Into

Network communication has become a part of everyday life, and the interconnection among devices and people will increase even more in the future. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is quite a challenging task. In this survey, we provide an extensive insight into the literature on Transmission Control Protocol throughput prediction. The goal is to provide an overview of the used techniques and to elaborate on open aspects and white spots in this area. We assessed more than 35 approaches spanning from equation-based over various time smoothing to modern learning and location smoothing methods. In addition, different error functions for the evaluation of the approaches as well as publicly available recording tools and datasets are discussed. To conclude, we point out open challenges especially looking in the area of moving mobile network clients. The use of throughput prediction not only enables a more efficient use of the available bandwidth, the techniques shown in this work also result in more robust and stable communication.

scholarly journals Pathophysiology and Treatment of Pruritus in Elderly

2020 ◽  
Vol 22 (1) ◽  
pp. 174
Author(s):  
Bo Young Chung ◽  
Ji Young Um ◽  
Jin Cheol Kim ◽  
Seok Young Kang ◽  
Chun Wook Park ◽  
...  
Keyword(s):  
Skin Diseases ◽  
Unknown Origin ◽  
The Elderly ◽  
Common Symptom ◽  
Multiple Factors ◽  
Signaling Mechanisms ◽  
Novel Drugs ◽  
Neuropathic Pruritus ◽  
Chronic Pruritus

Pruritus is a relatively common symptom that anyone can experience at any point in their life and is more common in the elderly. Pruritus in elderly can be defined as chronic pruritus in a person over 65 years old. The pathophysiology of pruritus in elderly is still unclear, and the quality of life is reduced. Generally, itch can be clinically classified into six types: Itch caused by systemic diseases, itch caused by skin diseases, neuropathic pruritus, psychogenic pruritus, pruritus with multiple factors, and from unknown causes. Senile pruritus can be defined as a chronic pruritus of unknown origin in elderly people. Various neuronal mediators, signaling mechanisms at neuronal terminals, central and peripheral neurotransmission pathways, and neuronal sensitizations are included in the processes causing itch. A variety of therapies are used and several novel drugs are being developed to relieve itch, including systemic and topical treatments.

What is Best for the Learner?

2015 ◽  
pp. 142-157 ◽  
Author(s):  
Carole A. Bagley ◽  
Janet Weisenford
Keyword(s):  
Online Courses ◽  
Massive Open Online Courses ◽  
Training Design ◽  
Educational Training ◽  
Education Practice ◽  
Learner Performance ◽  
Multiple Factors ◽  
On Line ◽  
Instruction And Learning

Massive Open Online Courses or MOOCs are increasing in use by universities, corporations and other organizations. The quality of instruction and learning is an ongoing topic of debate as to whether MOOCs are effective for learning. What is best for the learner is determined by multiple factors. This chapter looks at what is best for the learner and whether MOOCs are the answer. The authors examine each of the factors that impact what is best for the learner. Each of the factors (accessibility, cost to the learner, quality of instructional design, learner performance, and acquiring on-line collaboration methods and resources) are described and are followed by a discussion of the issues, controversies and problems associated with each factor. This chapter takes up the discussion on the book section ‘RIA and education practice of MOOCs,' with the particular focus on the topic of ‘educational training design.'

Toward Mobile Web 2.0-Based Business Methods

2011 ◽  
pp. 1515-1535
Author(s):  
Katarzyna Wac ◽  
Richard Bults ◽  
Bert-Jan van Beijnum ◽  
Hong Chen
Keyword(s):  
Service Providers ◽  
Mobile Network ◽  
Mobile Service ◽  
Mobile Web ◽  
Service Deployment ◽  
Business Cases ◽  
Novel Method ◽  
Assurance Process ◽  
Mobile Network Operators

Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs’ customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP’s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions’ service, facilitating the WNP’s selection. The authors explore different business cases for the service deployment. Particularly, they introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. The authors argue that this service can improve the MoSP’s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.

scholarly journals An Updating Method for Structural Dynamics Models with Uncertainties

2008 ◽  
Vol 15 (3-4) ◽  
pp. 245-256 ◽  
Author(s):  
B. Faverjon ◽  
P. Ladevèze ◽  
F. Louf
Keyword(s):  
Structural Dynamics ◽  
Polynomial Chaos ◽  
Error Estimator ◽  
Chaos Expansion ◽  
Finite Element Analyses ◽  
Industrial Structures ◽  
Stochastic Problems ◽  
Constitutive Relation Error ◽  
Dynamics Models

One challenge in the numerical simulation of industrial structures is model validation based on experimental data. Among the indirect or parametric methods available, one is based on the “mechanical” concept of constitutive relation error estimator introduced in order to quantify the quality of finite element analyses. In the case of uncertain measurements obtained from a family of quasi-identical structures, parameters need to be modeled randomly. In this paper, we consider the case of a damped structure modeled with stochastic variables. Polynomial chaos expansion and reduced bases are used to solve the stochastic problems involved in the calculation of the error.

OpenMobileNetwork

2013 ◽  
Vol 9 (4) ◽  
pp. 46-64 ◽  
Author(s):  
Abdulbaki Uzun ◽  
Eric Neidhardt ◽  
Axel Küpper
Keyword(s):  
Network Topology ◽  
Linked Data ◽  
Service Providers ◽  
Open Data ◽  
Mobile Network ◽  
Base Station ◽  
Network Provisioning ◽  
Crowdsourced Data ◽  
Mobile Network Operators

Mobile network operators maintain data about their mobile network topology, which is mainly used for network provisioning and planning purposes restricting its full business potential. Utilizing this data in combination with the extensive pool of semantically modeled data in the Linking Open Data Cloud, innovative applications can be realized that would establish network operators as service providers and enablers in the highly competitive services market. In this article, the authors introduce the OpenMobileNetwork (available at http://www.openmobilenetwork.org/) as an open solution for providing approximated network topology data based on the principles of Linked Data along with a business concept for network operators to exploit their valuable asset. Since the quality of the estimated network topology is crucial when providing services on top of it, the authors further analyze and evaluate state-of-the-art approaches for estimating base station positions out of crowdsourced data and discuss the results in comparison to real base station locations.

scholarly journals A Multi-Agent Gamification System for Managing Smart Homes

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1249 ◽  
Author(s):  
Alicja Winnicka ◽  
Karolina Kęsik ◽  
Dawid Połap ◽  
Marcin Woźniak ◽  
Zbigniew Marszałek
Keyword(s):  
Rapid Development ◽  
Mobile Network ◽  
Smart Homes ◽  
Entire Solution ◽  
Additional Advantage ◽  
Fifth Generation ◽  
Multi Agent ◽  
The Individual ◽  
The Internet Of Things

Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system model for managing tasks in smart homes using multi-agent solutions. The proposed solution organizes work and distributes tasks to individual family members. An additional advantage is the introduction of gamification, not only between household members, but also between families. The solution was tested to simulate the entire solution as well as the individual components that make up the system. The proposal is described with regard to the possibility of implementing smart homes in future projects.

scholarly journals Online Supervisory Control and Resource Management for Energy Harvesting BS Sites Empowered with Computation Capabilities

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Thembelihle Dlamini ◽  
Ángel Fernández Gambín ◽  
Daniele Munaretto ◽  
Michele Rossi
Keyword(s):  
Energy Harvesting ◽  
Energy Savings ◽  
Virtual Machines ◽  
Mobile Network ◽  
Base Stations ◽  
Traffic Load ◽  
Short Term ◽  
Energy Aware ◽  
Multi Access

The convergence of communication and computing has led to the emergence of multi-access edge computing (MEC), where computing resources (supported by virtual machines (VMs)) are distributed at the edge of the mobile network (MN), i.e., in base stations (BSs), with the aim of ensuring reliable and ultra-low latency services. Moreover, BSs equipped with energy harvesting (EH) systems can decrease the amount of energy drained from the power grid resulting into energetically self-sufficient MNs. The combination of these paradigms is considered here. Specifically, we propose an online optimization algorithm, called Energy Aware and Adaptive Management (ENAAM), based on foresighted control policies exploiting (short-term) traffic load and harvested energy forecasts, where BSs and VMs are dynamically switched on/off towards energy savings and Quality of Service (QoS) provisioning. Our numerical results reveal that ENAAM achieves energy savings with respect to the case where no energy management is applied, ranging from 57% to 69%. Moreover, the extension of ENAAM within a cluster of BSs provides a further gain ranging from 9% to 16% in energy savings with respect to the optimization performed in isolation for each BS.

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