Semantic Resource Management for effective Mobile Services
The "App" Model
Predictions for future needs for wireless communication vary widely from 1 to 3 orders of magnitude increase in the next 10 years, with an almost exponential increase in the growth of mobile services and applications (apps) for the same period. Solutions such as adding more base stations, instituting data caps or limiting access to some mobile services are not the only answer to this challenge. There is a clear need for novel and disruptive end-to-end considerations of the wireless ecosystem which will enable and sustain the next generation of mobile services and user experience.
Wireless networks are currently non-convergent and have no knowledge of the types and characteristics of the specific mobile services they are providing. Although QoE depends in large measure on the end-to-end QoS, the knowledge separation among the service designers/builders, service providers, delivery networks, terminals OSs and wireless networks, are producing substantial resource optimization deficiencies and discontinuities in both spectrum use and energy consumption.
Mobile service models are getting more app-oriented, and that in itself represents a relevant expansion of the mobile service model. There is also an expectation for the proliferation of continuous mobile services and connected devices with very specific models of real time wireless connectivity requirements.
This project explores the concept of utilizing semantic knowledge, which is describing the models of resource utilization related to a desired QoE for a class of mobile services/apps, with the goal to optimize wireless communication spectrum, cost and energy. Part of the project activities will be targeting novel QoE monitoring and testing mechanisms with typical services in different network conditions. This will make it possible to create models for mapping the perceived QoE with associated QoS for various services and different devices.