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@ARTICLE{IEEE WIOPT 2022,
    author = {Rizzo, Gianluca and Marsan, Marco G Ajmone and Esposito, Christian},
  keywords = {6G, energy efficiency, IoT, SWIPT},
     month = sep,
     title = {Energy-Optimal RAN Configurations for SWIPT IoT},
   journal = {IEEE WIOPT 2022},
      year = {2022},
       url = {https://www.wi-opt.org/proceedings/paper.php?id=1570811624},
  abstract = {Internet of Things (IoT) devices often have batteries
of limited capacity, which are not easily replaced or recharged.
This implies very short device lifetimes, and calls for a very
careful device configuration to achieve the optimal trade-off between
performance and power consumption. SWIPT (Simultaneous
Wireless Information and Power Transfer) deals with this problem
by harvesting energy at IoT devices from the received RF signals.
Studying the efficiency of SWIPT in dealing with the energy and
data transfer demands of IoT nodes leads to a number of open
issues. In this paper, we devise an analytical model based on
stochastic geometry for a SWIPT radio access network with a dense
population of IoT users. With our model, it is possible to accurately
study the impact of the system parameters on the key system
performance indicators, while accounting in a realistic manner
for device performance, and for the statistics of time scheduling
at base stations. This allows us to understand (not without some
surprise) what are the most effective strategies to minimize energy
consumption in a SWIPT network, and what is their potential for
energy savings.}
}