Collaboration with Forthnet for the measuring, analyzing, and modeling the Quality of Experience of users for the Nova Go service [More]
Overview
Modeling and analysis of wireless access markets (CorLAB)
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. More
u-map: a user-centric geo-database for wireless access markets (CorLAB)
The u-map is a novel user-centric geo-database that supports wireless access markets. It enables clients to upload information about their profile, their quality-of-experience (QoE) feedback for a service, traffic demand, network/spectrum conditions (e.g., interference, coverage), providers, and their position (e.g., GPS-based measurements) in a spatio-temporal geo-database. To evaluate the impact of the u-map on wireless access markets and study the evolution of such markets, we have developed an economic-driven modeling framework. The framework integrates models of the channel, clients and network operators, wireless infrastructures, types of interaction, and price adaptation in a modular manner. The u-map was analyzed by simulating the evolution of a cellular-based duopoly, with various cellular users. The analysis demonstrates that the u-map can be beneficial to users in their network operator selection process. In addition, a proof-of-concept implementation of the u-map has been developed. Evaluation studies using this testbed is an on-going activity. More
QoWater: a user-centric geo-database for water quality
QoWater is a novel user-centric crowd- sourcing system that enables mobile users to evaluate the quality of drinking water, recreational water and irrigation water. Via QoWater, users upload their feedback about the water quality, together with their position and a timestamp in the spatio-temporal database of QoWater. At the same time, a wireless sensor network monitors the water distribution network (WDN) and uploads the measurements to the database of QoWater. We have developed a proof-of-concept implementation of QoWater and performed a preliminary analysis. More
MLQoE: a user-centric framework for quality prediction (CorLAB)
New paradigms in wireless access and telecommunication markets are being formed. The advances in the dynamic spectrum access and in networking, in general, empower devices with new degrees of flexibility, enable new network architectures and services, enrich the roles of service providers, and open new opportunities for businesses cases. Unlike the traditional cellular-based markets, these new markets have larger sizes, are more diverse, 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 markets and services. It employs game-theory, network economics, and machine-learning. It considers a diverse set of customer populations and QoE-based performance metrics from the perspective of providers, customers, and regulators. More
Wireless network measurements, statistical analysis & modeling
Current wireless networks are extremely complex. The interaction of different layers and technologies creates many situations that cannot be foreseen during the design and testing stages of technology development. Empirical studies in production environments enable researchers and engineers to uncover deficiencies and identify possible optimizations and extensions. Furthermore, accurate and scalable models are critical aspects in performance analysis studies. The objective of this research is to analyze, characterize and model the traffic demand, access and roaming patterns based on empirical measurements collected from large scale wireless networks. More
Maria Papadopouli and Henning Schulzrinne.
Peer-to-Peer Computing for Mobile Networks: Information Discovery and
Dissemination, Springer Ed. 2009 
