Improved PCFICH decoding in LTE systems

Saheed Adegbite, Scott McMeekin, Brian Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication systems. CFI is an essential control signal in LTE, and must be correctly detected at the receiver to avoid degraded system performance. The standard method of CFI detection involves the use of the Maximum Likelihood (ML) estimation criterion. Unfortunately, ML decoding performance relies on accurate channel estimation, and as a consequence may result in poor CFI decoding when channel estimates are poor. To improve CFI detection in severe fading channel conditions, a time-domain decision rule that requires no channel estimation, is proposed. Results show that when compared with the ML approach, the proposed method reduces the probability of CFI estimation error in the form of reduced block error rate.
Original languageEnglish
Title of host publication2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks, LANMAN 2015
Number of pages6
ISBN (Electronic)9781467367615
ISBN (Print)9781467367622
Publication statusPublished - 1 Jun 2015

Publication series

NameIEEE Workshop on Local and Metropolitan Area Networks
ISSN (Print)1944-0367
ISSN (Electronic)1944-0375


  • control format indicator
  • 4G-LTE communication system
  • Maximum Liklihood
  • ML decoding performance


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