In order to meet the unceasing demand for greater data-rates, future cellular network will be deployed according to heterogeneous layouts, with traditional macro-cellular sites acting as umbrella for a multitude of underlain micro-cells. Backhauling communications will likely rely on point-to-point wireless links not always in clear line of sight. A path loss model for urban backhauling at mmfrequencies is presented in this work, based on a Monte Carlo approach applied to a proper statistical description of the environment.
F. Fuschini, M. Barbiroli, A. Perikleous, M. Zoli, V. Petrini, C. Carciofi (2016). Path-Loss Statistical Model for Urban Mobile Backhauling at mm-frequencies.
Path-Loss Statistical Model for Urban Mobile Backhauling at mm-frequencies
F. Fuschini
;M. Barbiroli;M. Zoli;V. Petrini;C. Carciofi
2016
Abstract
In order to meet the unceasing demand for greater data-rates, future cellular network will be deployed according to heterogeneous layouts, with traditional macro-cellular sites acting as umbrella for a multitude of underlain micro-cells. Backhauling communications will likely rely on point-to-point wireless links not always in clear line of sight. A path loss model for urban backhauling at mmfrequencies is presented in this work, based on a Monte Carlo approach applied to a proper statistical description of the environment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.