%Aigaion2 BibTeX export from HES SO Valais Publications
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@ARTICLE{,
    author = {Finarelli, Laura and Dressler, Falko and Marsan, Marco G Ajmone and Rizzo, Gianluca},
  keywords = {Moving network paradigm},
     title = {Mobile Networks on the Move: Optimizing Moving Base Stations Dynamics in Urban Scenarios},
   journal = {VNC},
      year = {2024},
  abstract = {Base station densification is one of the key approaches for delivering high capacity in radio access networks.
However, current static deployments are often impractical and
financially unsustainable, as they increase both capital and
operational expenditures of the network. An alternative paradigm
is the moving base stations (MBSs) approach, by which part of
base stations are installed on vehicles. However, to the best of
our knowledge, it is still unclear if and up to which point MBSs
allow decreasing the number of static base stations (BSs) deployed
in urban settings. In this work, we start tackling this issue by
proposing a modeling approach for a first-order evaluation of
potential infrastructure savings enabled by the MBSs paradigm.
Starting from a set of stochastic geometry results, and a traffic
demand profile over time, we formulate an optimization problem
for the derivation of the optimal combination of moving and static
BSs which minimizes the overall amount of BSs deployed, while
guaranteeing a target mean QoS for users. Initial results on a two-
district scenario with measurement-based network traffic profiles
suggest that substantial infrastructure savings are achievable. We
show that these results are robust against different values of user
density.}
}