A time-domain control signal detection technique for OFDM

Saheed A. Adegbite, Scott G. McMeekin, Brian G. Stewart

Research output: Contribution to journalArticle

1 Citation (Scopus)
43 Downloads (Pure)

Abstract

Transmission of system-critical control information plays a key role in efficient management of limited wireless network resources and successful reception of payload data information. This paper uses an orthogonal frequency division multiplexing (OFDM) architecture to investigate the detection performance of a time-domain approach used to detect deterministic control signalling information. It considers a type of control information chosen from a finite set of information, which is known at both transmitting and receiving wireless terminals. Unlike the maximum likelihood (ML) estimation method, which is often used, the time-domain detection technique requires no channel estimation and no pilots as it uses a form of time-domain correlation as the means of detection. Results show that when compared with the ML method, the time-domain approach improves detection performance even in the presence of synchronisation error caused by carrier frequency offset.
Original languageEnglish
Article number171
Number of pages10
JournalEURASIP Journal on Wireless Communications and Networking
Volume2016
Early online date19 Jul 2016
DOIs
Publication statusE-pub ahead of print - 19 Jul 2016

Keywords

  • carrier frequency offset (CFO)
  • channel estimation
  • maximum likelihood (ML)
  • orthogonal frequency division multiplexing (OFDM)
  • selective control information
  • time-domain correlation
  • frequency allocation
  • frequency division multiplexing
  • frequency estimation
  • Information management
  • maximum likelihood
  • maximum likelihood estimation
  • multiplexing
  • orthogonal frequency division multiplexing
  • signal encoding
  • carrier frequency offsets
  • control information
  • detection performance
  • efficient managements
  • selective control
  • time-domain approach
  • time-domain control
  • time domain analysis

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