RT Conference Proceedings
T1 Superimposed Training for Channel Estimation in FBMC-OQAM
A1 Chen Hu, Kun
A1 Estrada Jiménez, Juan Carlos
A1 Fernández-Getino García, María Julia
A1 García-Armada, Ana
AB Wireless broadband communication systems are always requiring higher data rates. In order to achieve this goal, we should provide advanced schemes which are capable of improving the spectral efficiency and reusing, in a better way, the available radio spectrum resources. Filter Bank Multi-Carrier Offset Quadrature Amplitude Modulation (FBMC-OQAM) combined with Superimposed Training (ST) is a promising technique with a very high spectral efficiency. This improvement is due to the low out-of-band emissions of FBMC-OQAM, because it uses a well-designed prototype filter, and the lack of dedicated pilot tones owing to ST scheme. However, this combination is not straightforward due to the appearance of the self-interference at receiver side in FBMC-OQAM. In this paper, we provide a novel channel estimation which is capable of dealing with this self-interference in the context of combining these two techniques.
PB IEEE
SN 9781509059355
YR 2017
FD 2017-09-24
LK https://hdl.handle.net/10016/33273
UL https://hdl.handle.net/10016/33273
LA eng
NO Proceedings of: 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
NO This work has been partly supported by Spanish National Projects ELISA (TEC2014-59255-C3-3-R) and MACHINE (TSI-100102-2015-17); and also by National Secretary of Science, Technology and Innovation SENESCYT Ecuador.
DS e-Archivo
RD 27 jul. 2024