Impact of CFO on low latency-enabled uav using better than nyquist pulse shaping in GFDM

Navuday Sharma, Atul Kumar, Maurizio Magarini, Stefano Bregni, Dushantha Nalin K. Jayakody

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

2 Цитирования (Scopus)


Low altitude aerial base stations onboard unmanned aerial vehicles (UAVs) have recently gained a lot of attention to provide cellular coverage to mobile ground users. In this paper we evaluate the effect of carrier frequency offset (CFO) on the symbol error rate in the downlink of such systems, where a long-term evolution (LTE) compatible time-frequency grid based on generalized frequency division multiplexing (GFDM) is considered. The choice of GFDM as multi-carrier modulation scheme is motivated by its widely proposed application in fifth generation cellular systems and its backward compatibility with LTE. Simulation results are shown for Better than the Nyquist (BTN) pulse shaping filters in three different environments: Suburban, Urban and Urban High Rise. The use of BTN pulse shaping filters allows for higher robustness to CFO as compared to base line pulse shaping filer know as root-raised cosine filters for different environments conditions. Simulation results are presented considering realistic air-to-ground propagation conditions generated from the commercial Wireless InSite ray-tracing radio propagation software.

Язык оригиналаАнглийский
Название основной публикации2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728112176
СостояниеОпубликовано - 1 апр 2019
Событие89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Малайзия
Продолжительность: 28 апр 20191 мая 2019

Серия публикаций

НазваниеIEEE Vehicular Technology Conference
ISSN (печатное издание)1550-2252


Конференция89th IEEE Vehicular Technology Conference, VTC Spring 2019
ГородKuala Lumpur

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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