The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Seppo Yrjölä - One of the best experts on this subject based on the ideXlab platform.
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5g Network slicing strategies for a smart factory
Computers in Industry, 2019Co-Authors: Jaspreet Singh Walia, Heikki Hammainen, Kalevi Kilkki, Seppo YrjöläAbstract:Abstract Factories become increasingly dependent on Network connectivity. The next generation of Mobile communications, 5G, will enable better flexibility and service quality through Network slicing. Network slicing is a means of creating logically separated use case specific virtual Networks over the same physical Network. However, there is a lack of techno-economic research related to the management of Network slices. Network slice management needs to take into account the multiple Network domains, business actors and value Networks involved in a vertical such as smart factories. The key for Network slices to succeed where other resource reservation and quality of service technologies have previously failed is with well-defined feasible management models and strategies. In this paper, we focus on Network slice management, possible strategies and implications for a smart factory. We study a state-of-the-art electronics assembly factory in Finland to find existing need for Network slicing and missing capabilities to support smart factory use cases. Next, we define use case specific Network slices and develop a Network slice management model based on 5G specifications. The model allows for distribution of Network functions between business actors over multiple Network domains. The value Network analysis method is utilized to develop alternative configurations that constitute the Network slicing strategies facilitated by the model. Factory managers can decide on the most feasible strategy based on traditional factors such as make or buy, security, and level of automation. The strategies also differ in their technical applicability to different use cases. A feasibility study reveals the strategic differences from factory, local Network Operator and large Mobile Network Operator perspectives.
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description of finnish licensed shared access lsa field trial using td lte in 2 3 ghz band
IEEE International Symposium on Dynamic Spectrum Access Networks, 2014Co-Authors: Marko Palola, Seppo Yrjölä, Marja Matinmikko, Jarmo Prokkola, Miia Mustonen, Marjo Heikkila, Tero Kippola, Vesa Hartikainen, Lucia Tudose, Arto KivinenAbstract:This demonstration presents a live spectrum sharing trial of the new Licensed Shared Access (LSA)/ Authorised Shared Access (ASA) concept. The trial shows the feasibility of the LSA/ASA concept and demonstrates how a Mobile Network Operator (MNO) could take a new shared LSA/ASA band into use in a straight forward manner in response to the growing traffic demand while protecting the rights of the incumbent spectrum users. The trial uses a real TD-LTE Mobile communication Network in the 2.3–2.4 GHz band and shares spectrum with incumbent spectrum users, e.g. programme making and special events (PMSE) services in Finland, under the European LSA framework. In the trial the incumbent spectrum users' rights are protected by storing their spectrum usage and requests into an LSA/ASA Repository and evacuating the LSA/ASA band on-demand. When receiving the evacuation request from the incumbent via the LSA/ASA Repository, the MNO reconfigures its Network using an LSA/ASA Controller that commands its Network management tool to clear the requested parts of the LSA/ASA band and hands over its users to alternative Networks. The trial, located in Finland, implements the LSA/ASA concept with commercial end user equipment, TD-LTE Network, and Network management system, with a minimum number of new components, namely LSA/ASA Repository and LSA/ASA Controller which are developed for the trial. The LSA/ASA concept has significant business potential as it enables the use of globally identified IMT bands, such as 2.3–2.4 GHz band, for Mobile communications on a shared basis when they are available while protecting the rights of existing incumbent users.
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Feasibility assessment of Licensed Shared Access (LSA) concept - Case of a Finnish Mobile Network Operator (MNO)
1st International Conference on 5G for Ubiquitous Connectivity, 2014Co-Authors: Esko Luttinen, Petri Ahokangas, Marja Matinmikko, Marcos Katz, Seppo YrjöläAbstract:This paper examines the new Licensed Shared Access spectrum sharing case in Finland. Functionality of Mobile communication market and architecture define how Mobile subscribers behave both technically and economically. If the Mobile services fit together, interfaces between elements and services are the key. Definition of interfaces exists between new Mobile devices, Mobile and fixed Networks and content services. In wireless radio communication additional spectrum possibilities are researched and developed to optimize Mobile Network performance in various ways. While evaluating Mobile communication competition, MNOs try to make the best possible solutions in engineering, regulation and technology. The Mobile communication market status changes rapidly due to small cell market developments, Mobile device development, discussions and cooperation in standards and regulatory development. Additional spectrum usage and payment principles in spectrum sharing are also important. As the spectrum management regulation adapts prospect of widespread sharing there are issues to consider enhancing flexible usage rights.
Mario Pickavet - One of the best experts on this subject based on the ideXlab platform.
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Techno-economic analysis of software defined Networking as architecture for the virtualization of a Mobile Network
…Defined Networking …, 2012Co-Authors: Bram Naudts, Mario Kind, F.-j. Westphal, Sofie Verbrugge, Didier Colle, Mario PickavetAbstract:Worldwide Mobile Network Operators have to spend billions to upgrade their own Network to the latest standards for wireless communication of high-speed data for Mobile phones (e.g. Long Term Evolution, LTE). This is in contrast with the decline in average revenue per user and threatens: (1) their profitability and (2) the fast adaptation of new standards. Investigating new mechanisms that can decrease the capital expenditures (capex) and operational expenditures (opex) of a Mobile Network is therefore essential. Enabling multiple Mobile Network Operators on a common infrastructure is one such mechanism. Software defined Networks can overcome this problem and a solution based on exploring OpenFlow (OF) as architecture for Mobile Network virtualization has been proposed. We investigate two Network scenarios based on this OF solution in a techno-economic analysis: (scenario 1) software-defined, non-shared Networks and (scenario 2) virtualized, shared Networks and compare it against the current situation. By doing so, this paper provides insights on the relative cost savings that a Mobile Network Operator can reach through Software Defined Networking (SDN) and Network sharing. The techno-economic analysis indicates that SDN and virtualization of the first aggregation stage and second aggregation stage Network infrastructure leads to substantial capex cost reductions for the Mobile Network Operator. As a consequence, Mobile Network infrastructure virtualization through the use of OpenFlow could be one of the problem solvers to tackle the issue of rising costs and decreasing profitability. Still, we did not take into account the direct effect on operational expenditures and the indirect effect that Network sharing can adversely affect the ability of the Operators to differentiate themselves.
Fabio Ricciato - One of the best experts on this subject based on the ideXlab platform.
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towards a methodological framework for estimating present population density from Mobile Network Operator data
Pervasive and Mobile Computing, 2020Co-Authors: Fabio Ricciato, Giampaolo Lanzieri, Albrecht Wirthmann, Gerdy SeynaeveAbstract:Abstract The concept of present population is gaining increasing attention in official statistics. One possible approach to measure present population exploits data collected by Mobile Network Operators (MNO), from simple Call Detail Records (CDR) to more informative and complex signalling records. Such data, collected primarily for Network operation processes, can be repurposed to infer patterns of human mobility. Two decades of research literature have produced several case studies, mostly focused on to CDR data, and a variety of ad-hoc methodologies tailored to specific datasets. Moving beyond the stage of explorative research, the regular production of official statistics across different MNO requires a more systematic approach to methodological development. Towards this aim, Eurostat and other members of the European Statistical System are working towards the definition of a general Reference Methodological Framework for processing MNO data for official statistics. In this contribution we report on the methodological aspects related to the estimation of present population density, for which we present a general and modular methodological structure that generalises previous proposals found in the academic literature. Along the way, we define a number of specific research problems requiring further attention by the research community. We stress the importance of comparing different methodological options at various points in the data workflow, e.g. in the geolocation of individual observations and in the inference method. Finally, we present illustrative results from a case-study based on real signalling data from a European operational Network, complemented by numerical results from a simple simulation scenario.
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on the estimation of spatial density from Mobile Network Operator data
arXiv: Signal Processing, 2020Co-Authors: Fabio Ricciato, Angelo ColucciaAbstract:Mobile Network Operator (MNO) data are increasingly used to infer mobility and presence patterns of human population. Whether based on Cell Detail Records (CDR) or signalling events, MNO data can be leveraged to estimate the spatial distribution of Mobile devices at a given time, and from there extrapolate the distribution of humans. The process of transforming MNO data to a density map involves a chain of multiple processing blocks. A key block relates to \emph{geo-location} of individual radio cells or groups thereof, i.e., to methods for determining the spatial footprint of radio cells. Traditionally, researchers have resorted to geo-location methods based on Voronoi tessellations or variants thereof: with this approach, cell locations are mutually disjoint and the density estimation task reduces to a simple area-proportional computation. More recently, some pioneering work have started to consider more elaborated geo-location methods with partially overlapping (non-disjont) cell footprints. Estimating the spatial density from a set of overlapping cell locations is currently an open research problem, and it is the focus of this work. In this contribution we start by reviewing three different estimation methods proposed in the literature, for which we provide novel analytic results, based on formal proofs, unveiling some key aspects of their mutual relationships. Furthermore, we develop a novel estimator for which a closed-form solution can be given. Numerical results based on synthetic data are presented to assess the relative accuracy of each method.
Kenza Hamidouche - One of the best experts on this subject based on the ideXlab platform.
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contract based incentive mechanism for lte over unlicensed channels
IEEE Transactions on Communications, 2019Co-Authors: Kenza Hamidouche, Walid Saad, Merouane Debbah, My T ThaiAbstract:In this paper, a novel economic approach, based on the framework of contract theory, is proposed for providing incentives for LTE over unlicensed channels (LTE-U) in cellular Networks. In this model, a Mobile Network Operator (MNO) designs and offers a set of contracts to the users to motivate them to accept being served over the unlicensed bands. A practical model in which the information about the quality-of-service (QoS) required by every user is not known to the MNO and other users is considered. For this contractual model, the closed-form expression of the price charged by the MNO for every user is derived and the problem of spectrum allocation is formulated as a matching game with incomplete information. For the matching problem, a distributed algorithm is proposed to assign the users to the licensed and unlicensed spectra. The simulation results show that the proposed pricing mechanism can increase the fraction of users that achieve their QoS requirements by up to 45% compared to classical algorithms that do not account for users requirements. Moreover, the performance of the proposed algorithm in the case of incomplete information is shown to approach the performance of the same mechanism with complete information.
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contract based incentive mechanism for lte over unlicensed channels
arXiv: Information Theory, 2018Co-Authors: Kenza Hamidouche, Walid Saad, Merouane Debbah, My T ThaiAbstract:In this paper, a novel economic approach, based on the framework of contract theory, is proposed for providing incentives for LTE over unlicensed channels (LTE-U) in cellular-Networks. In this model, a Mobile Network Operator (MNO) designs and offers a set of contracts to the users to motivate them to accept being served over the unlicensed bands. A practical model in which the information about the quality-of-service (QoS) required by every user is not known to the MNO and other users, is considered. For this contractual model, the closed-form expression of the price charged by the MNO for every user is derived and the problem of spectrum allocation is formulated as a matching game with incomplete information. For the matching problem, a distributed algorithm is proposed to assign the users to the licensed and unlicensed spectra. Simulation results show that the proposed pricing mechanism can increase the fraction of users that achieve their QoS requirements by up to 45\% compared to classical algorithms that do not account for users requirements. Moreover, the performance of the proposed algorithm in the case of incomplete information is shown to approach the performance of the same mechanism with complete information.
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Breaking the economic barrier of caching in cellular Networks: Incentives and contracts
2016 IEEE Global Communications Conference GLOBECOM 2016 - Proceedings, 2016Co-Authors: Kenza Hamidouche, Walid Saad, Merouane DebbahAbstract:In this paper, a novel approach for providing incentives for caching in small cell Networks (SCNs) is proposed based on the economics framework of contract theory. In this model, a Mobile Network Operator (MNO) designs contracts that will be offered to a number of content providers (CPs) to motivate them to cache their content at the MNO's small base stations (SBSs). A practical model in which information about the traffic generated by the CPs' users is not known to the MNO is considered. Under such asymmetric information, the incentive contract between the MNO and each CP is properly designed so as to determine the amount of allocated storage to the CP and the charged price by the MNO. The contracts are derived by the MNO in a way to maximize the global benefit of the CPs and prevent them from using their private information to manipulate the outcome of the caching process. For this interdependent contract model, the closed-form expressions of the price and the allocated storage space to each CP are derived. This proposed mechanism is shown to satisfy the sufficient and necessary conditions for the feasibility of a contract. Moreover, it is shown that the proposed pricing model is budget balanced, enabling the MNO to cover all the caching expenses via the prices charged to the CPs. Simulation results show that none of the CPs will have an incentive to choose a contract designed for CPs with different traffic loads.
Angelo Coluccia - One of the best experts on this subject based on the ideXlab platform.
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on the estimation of spatial density from Mobile Network Operator data
arXiv: Signal Processing, 2020Co-Authors: Fabio Ricciato, Angelo ColucciaAbstract:Mobile Network Operator (MNO) data are increasingly used to infer mobility and presence patterns of human population. Whether based on Cell Detail Records (CDR) or signalling events, MNO data can be leveraged to estimate the spatial distribution of Mobile devices at a given time, and from there extrapolate the distribution of humans. The process of transforming MNO data to a density map involves a chain of multiple processing blocks. A key block relates to \emph{geo-location} of individual radio cells or groups thereof, i.e., to methods for determining the spatial footprint of radio cells. Traditionally, researchers have resorted to geo-location methods based on Voronoi tessellations or variants thereof: with this approach, cell locations are mutually disjoint and the density estimation task reduces to a simple area-proportional computation. More recently, some pioneering work have started to consider more elaborated geo-location methods with partially overlapping (non-disjont) cell footprints. Estimating the spatial density from a set of overlapping cell locations is currently an open research problem, and it is the focus of this work. In this contribution we start by reviewing three different estimation methods proposed in the literature, for which we provide novel analytic results, based on formal proofs, unveiling some key aspects of their mutual relationships. Furthermore, we develop a novel estimator for which a closed-form solution can be given. Numerical results based on synthetic data are presented to assess the relative accuracy of each method.