Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 21st IEEE International Workshop on Local and Wide Area Networks (LANMAN 2015) |
| Publisher | IEEE |
| Pages | 1-6 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Apr 2015 |
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Keywords
- control format indicator
- 4G-LTE communication system
- Maximum Liklihood
- ML decoding performance
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Improved PCFICH decoding in LTE systems. / Adegbite, Saheed; McMeekin, Scott; Stewart, Brian.
Proceedings of the 21st IEEE International Workshop on Local and Wide Area Networks (LANMAN 2015). IEEE, 2015. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
TY - CHAP
T1 - Improved PCFICH decoding in LTE systems
AU - Adegbite, Saheed
AU - McMeekin, Scott
AU - Stewart, Brian
PY - 2015/4
Y1 - 2015/4
N2 - 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.
AB - 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.
KW - control format indicator
KW - 4G-LTE communication system
KW - Maximum Liklihood
KW - ML decoding performance
U2 - 10.1109/LANMAN.2015.7114739
DO - 10.1109/LANMAN.2015.7114739
M3 - Chapter (peer-reviewed)
SP - 1
EP - 6
BT - Proceedings of the 21st IEEE International Workshop on Local and Wide Area Networks (LANMAN 2015)
PB - IEEE
ER -