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 Networks & Telecommunications Laboratory

Mobile Computing Activity

Developing the Foundations for Modeling and Analysis of Spectrum Markets (CoRLAB)


Modeling and analysis of wireless access markets

cellular market modeling

    New paradigms in wireless access and spectrum markets are being formed. This is accelerated even further by the advances in the dynamic spectrum access. The cognitive radio network (CRN) technology empowers devices with new degrees of flexibility, enabling new network architectures, access methods, and services, enriching the roles of service providers, and opening new opportunities for businesses cases. Unlike the traditional cellular-based markets, these spectrum markets have larger sizes, are more heterogeneous, and can offer an improved set of services. As wireless access and use increase, users are differentiated even more by their usage and data-rate requirement profile. The main objective of this research is the development of a /modular multi-level modeling framework and simulation platform/, that enables the business-driven comparative analysis of various spectrum and access markets and services. The analysis will consider a diverse set of customer populations and QoE-based performance metrics from the perspective of providers, customers, and regulators.

Representative publications:

  • Georgios Fortetsanakis and Maria Papadopouli. On Multi-layer Modeling and Analysis of Wireless Access Markets. IEEE Transactions on Mobile Computing, April, 2014 [PDF]
  • Charalampos Meidanis, Ioannis Stiakogiannakis, and Maria Papadopouli. Pricing for Mobile Virtual Network Operators: The contribution of u-map. IEEE DySPAN, McLean, Virginia, USA, April 1-4, 2014 [PDF]
  • Georgios Fortetsanakis, Maria Papadopouli, Gunnar Karlsson, Manos Dramitinos, Emre A. Yavuz. To subscribe, or not to subscribe: Modeling and analysis of service paradigms in cellular markets. IEEE DySPAN, Bellevue, Washington, USA, October 16-19, 2012 [PDF]


u-map: a user-centric geo-database for wireless access markets

u-map-picture 3

    The u-map performs QoE estimations from cross-layer network measurements and user data to provide recommendations to users and feedback to mobile operators and service providers.

    A u-map client running on a smart-phone will upload in regular basis information about the user profile, the QoE feedback for services (as indicated explicitly by the user), traffic demand statistics, network/spectrum conditions, and the position of the device. This information is stored in a spatio-temporal geo-database, attached to a u-map server. A u-map client may query this database to obtain information about a service provider, its customers’ satisfaction, in order to enable a roaming user to make an educated selection of the appropriate provider, when visiting a new area. The term appropriate denotes the provider that best matches user’s criteria (e.g., it is the cheapest or the best, provides certain QoS characteristics, or supports specific features). Moreover, given that a smart-phone may have access to several network interfaces simultaneously, a u-map client may select the appropriate wireless or cellular operator and network interface for offloading its traffic.

    Providers access the u-map database to obtain network measurements about their infrastructure and user feedback about their coverage/services performance to potentially improve/adjust their deployment and services. u-map acts as an “early-warning” and churn-avoidance mechanism. It also allows them to gain a better knowledge about their customers and their QoE criteria and assess their strategic network planning, pricing decisions and service deployment strategies in a finer geo-spatial granularity. Finally, u-map can provide feedback about the “compatibility” of the device, OS, and service and their impact on the user experience, allowing the manufacturer, platform/OS developer and service provider to early identify potential problems and constantly improve their products. U-map can become a powerful tool to users, service providers, manufacturers, operators, and regulators, introducing a paradigm shift in wireless access markets.

Representative videos:

Representative publications:

  • Michalis Katsarakis, Paulos Charonyktakis, Georgios Fortetsanakis, Alexandros Kostopoulos, and Maria Papadopouli. On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets. IEEE Communications Magazine, September, 2014 [PDF]
  • Georgios Fortetsanakis, Michalis Katsarakis, Maria Plakia, Nick Syntychakis, and Maria Papadopouli. "Supporting Wireless Access Markets with a User-centric QoE-based Geo-database", ACM MobiArch 2012, Istanbul, Turkey, August 22, 2012.[PDF] [video]



This project was funded by a GSRT Research Excellent Grant (ΑΡΙΣΤΕΙΑ). The main objective of “ARISTEIA” is to support highly talented researchers, working in Greece, who have compiled an outstanding record in their respective fields and have the potential to advance the frontiers of scientific knowledge and scholarship. This will be accomplished by funding research projects of the highest quality, carried out by teams headed by a Principal Investigator (PI). For more information about this program can be found here.

Google Faculty Award that supports research excellence in academia, August 2013.