Ricerc@Sapienza

Existing group mobility models were not designed to meet the requirements for accurate simulation of current and future wireless networks scenarios, that need, in particular, accurate, up-to-date information on the position of each node in the network, combined with a simple and flexible approach to group mobility modeling. This issue is particularly relevant for 5G and beyond 5G mobile wireless networks, where small scale variations in relative distance between terminals may have a severe impact on the radio communication channel: existing group mobility models are inadequate under such conditions, since they do not
model the individual mobility patterns of each node.
The goal of the GMOMO project is address this issue by first defining a new framework for defining the properties of group mobility models in terms of relationship between network nodes; this framework will be then used to introduce a model for group mobility in wireless networks that is capable of accurately describing all mobility scenarios, from individual mobility, in which nodes move independently one from the other, to tight group mobility, where mobility patterns of different nodes are strictly correlated.
The project will also define a new set of performance indicators for group mobility models, that will allow a quantitative analysis and comparison of the proposed model with preexisting models. The comparison will consider realistic scenarios for 5G and beyond 5G networks, e.g. massive mmWave and Terahertz networks, as for example a set of mobile nodes cooperating in the realization of a distributed MIMO link.
The final result of the GMOMO project will be the definition of a new accurate, robust and flexible model for micromobility of groups of nodes in the wide range of network scenarios expected to characterize 5G and beyond 5G networks. The source code of the model, suitable for adoption in existing discrete event simulators, will be also made available under an open source license.