Improved PCFICH decoding in LTE systems

S.A. Adegbite, S.G. McMeekin, B.G. Stewart

Research output: Contribution to conferenceOther

3 Citations (Scopus)

Abstract

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. © 2015 IEEE.
Original languageEnglish
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2015
Event21st IEEE International Workshop on Local and Metropolitan Area Networks - Beijing, China
Duration: 22 Apr 201524 Apr 2015

Conference

Conference21st IEEE International Workshop on Local and Metropolitan Area Networks
Abbreviated titleLANMAN 2015
Country/TerritoryChina
CityBeijing
Period22/04/1524/04/15

Keywords

  • channel estimation
  • decoding
  • estimation
  • fading channels
  • frequency division multiplexing
  • local area networks
  • maximum likelihood
  • maximum likelihood estimation
  • metropolitan area networks
  • orthogonal frequency division multiplexing
  • signal receivers
  • time domain analysis
  • wireless telecommunication systems
  • block error rates
  • channel conditions
  • channel estimate
  • estimation errors
  • estimation methods
  • lte communication systems

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  • Selective control information detection in 5G frame transmissions

    Adegbite, S. A. & Stewart, B. G., 14 Dec 2016, Towards 5G Wireless Networks - A Physical Layer Perspective. Bizaki, H. K. (ed.). Rijeka, Croatia, p. 215-232 19 p. Chapter 10

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