Using Ambient Intelligence to Infer Availability and Meta-status in a Picocell Environment

Abstract

Pervasive mobile communication is set to be greatly enhanced by the development and deployment of miniature mobile base stations, suitable for workplace or home. These base stations, known as Femtocells and Picocells, connect to traditional broadband connections, to offer greatly improved 3G communications to mobile handsets. Developing an architecture that allows for targeted applications to be developed for end users of these enhanced mobile networks is of great importance. Examining how contextual data, extracted from these mobile networks, can be used to make inference and provide benefit to end users is both a technical and sophisticated challenge to be discussed in this paper.