| 000 | 01582cam a2200169 4500 | ||
|---|---|---|---|
| 100 | 1 | _aALBANESE Antonio | |
| 700 | _aSCIANCALEPORE Vincenzo | ||
| 700 | _aPÉREZ Xavier Costa | ||
| 245 |
_aFirst responders got wings: _bUAVs to the rescue of localization operations in beyond 5G systems/ _cAntonio Albanese, Vincenzo Sciancalepore and Xavier Costa-Pérez |
||
| 260 | _c2021 | ||
| 520 | _aNatural and human-made disasters have dramatically increased in recent decades. Given the strong relationship between first responders' localization time and the final number of deaths, the modernization of search and rescue operations has become imperative. In this context, unmanned-aerial-vehicle-based solutions are the most promising candidates to take on the localization challenge by leveraging emerging technologies such as artificial Intelligence, reconfigurable intelligent surfaces, and orthogonal time-frequency space modulations. In this article, we capitalize on such recently available techniques by shedding light on the main challenges and future opportunities to boost the localization performance of state-of-the-art techniques to give birth to unprecedentedly effective missing victims localization solutions. | ||
| 650 |
_aARTIFICIAL INTELLIGENCE _xAI _xCELLULAR NETWORK TECHNOLOGY _xLOCATION AWARENESS _xB5G _xUNMANNED AERIAL VEHICLES _xUAV |
||
| 773 |
_aIEEE Communications Magazine : _gVol 59, No 11, November 2021. pp.28-34 (147) |
||
| 598 | _aIT, TECHNOLOGY | ||
| 856 |
_uhttps://ieeexplore.ieee.org/document/9665421 _zClick here for full text |
||
| 945 |
_i67043.1001 _rY _sY |
||
| 999 |
_c41139 _d41139 |
||