Grant-free random access protocols are among the enabling techniques for mMTC, where a large number of devices activate sporadically and transmit short packets, typically containing a preamble (or a pilot sequence), without any resource allocation from the BS. One of the critical tasks to be accomplished by the BS is thus the preamble-based detection of the transmitted packets. This letter proposes a DL-based solution for detecting preambles in an asynchronous grant-free random access uplink scenario, assuming multiple antennas at the BS. The DL-based approach outperforms the classical correlator-based approach.

Khan M.U., Testi E., Paolini E., Chiani M. (2023). Preamble Detection in Asynchronous Random Access Using Deep Learning. IEEE WIRELESS COMMUNICATIONS LETTERS, 13(2), 279-283 [10.1109/LWC.2023.3325918].

Preamble Detection in Asynchronous Random Access Using Deep Learning

Khan M. U.;Testi E.;Paolini E.;Chiani M.
2023

Abstract

Grant-free random access protocols are among the enabling techniques for mMTC, where a large number of devices activate sporadically and transmit short packets, typically containing a preamble (or a pilot sequence), without any resource allocation from the BS. One of the critical tasks to be accomplished by the BS is thus the preamble-based detection of the transmitted packets. This letter proposes a DL-based solution for detecting preambles in an asynchronous grant-free random access uplink scenario, assuming multiple antennas at the BS. The DL-based approach outperforms the classical correlator-based approach.
2023
Khan M.U., Testi E., Paolini E., Chiani M. (2023). Preamble Detection in Asynchronous Random Access Using Deep Learning. IEEE WIRELESS COMMUNICATIONS LETTERS, 13(2), 279-283 [10.1109/LWC.2023.3325918].
Khan M.U.; Testi E.; Paolini E.; Chiani M.
File in questo prodotto:
File Dimensione Formato  
Preamble_Detection_in_Asynchronous_Random_Access_Using_Deep_Learning_.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Creative commons
Dimensione 592.54 kB
Formato Adobe PDF
592.54 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/963671
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact