LEXNET project and TTI involvement

LEXNET Project Text

The LEXNET (http://www.lexnet-project.eu) project addresses key factors of human exposure to electromagnetic fields (EMF) induced by wireless telecommunication networks and “low exposure” technologies. The wireless communication systems that are nowadays intensively used have induced fears to the general population about possible health impact. To date no adverse health effect has been established but recently the International Agency for Research on Cancer has classified radio frequency electromagnetic fields as possibly carcinogenic to humans. Such context may curb the general public from using innovative wireless systems. The goal of the LEXNET project is to investigate technologies and architectures to reduce the total human exposure without compromising the user’s perceived quality.

EMF exposure is often assessed with access points and devices considered separately. The real exposure induced by a network requires assessing the averaged exposure encountered during human activities and must consider jointly the different systems. The project will define a suitable index of exposure (Iexp), which will consider exposure as a composition of situations encountered in various scenarios. To reduce the Iexp of existing and future networks, the LEXNET project will analyse different options (e.g. radio components, interference management, power control, cell discontinuous transmission, network selection and network nodes reconfiguration). The findings will be demonstrated through a deployment in a smart city and validation platforms for proof of concept.

TTI role:
TTI tasks are mainly focused on activities related to RF evaluations and developments. TTI will collaborate in the design and development of a wideband dosimeter to assess the EMF exposure by relevant and `in situ’ real time EMF measurements. Furthermore TTI will study and propose novel hardware solutions that could lead to efficient compromise in terms of index of exposure. This task will encompass the trade-off between complexity and efficiency to reduce exposure index.
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