PMID- 32635448
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200807
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 20
IP  - 13
DP  - 2020 Jul 4
TI  - Efficient Estimation of CFO-Affected OFDM BER Floor in Small Cells with 
      Resource-Limited IoT End-Points.
LID - 10.3390/s20133747 [doi]
LID - 3747
AB  - Contemporary wireless networks dramatically enhance data rates and latency to 
      become a key enabler of massive communication among various low-cost devices of 
      limited computational power, standardized by the Long-Term Evolution (LTE) 
      downscaled derivations LTE-M or narrowband Internet of Things (NB IoT), in 
      particular. Specifically, assessment of the physical-layer transmission 
      performance is important for higher-layer protocols determining the extent of the 
      potential error recovery escalation upwards the protocol stack. Thereby, it is 
      needed that the end-points of low processing capacity most efficiently estimate 
      the residual bit error rate (BER) solely determined by the main orthogonal 
      frequency-division multiplexing (OFDM) impairment-carrier frequency offset (CFO), 
      specifically in small cells, where the signal-to-noise ratio is large enough, as 
      well as the OFDM symbol cyclic prefix, preventing inter-symbol interference. 
      However, in contrast to earlier analytical models with computationally demanding 
      estimation of BER from the phase deviation caused by CFO, in this paper, after 
      identifying the optimal sample instant in a power delay profile, we abstract the 
      CFO by equivalent time dispersion (i.e., by additional spreading of the power 
      delay profile that would produce the same BER degradation as the CFO). The 
      proposed BER estimation is verified by means of the industry-standard LTE 
      software simulator.
FAU - Lipovac, Adriana
AU  - Lipovac A
AD  - Department of Electrical Engineering and Computing, University of Dubrovnik, 
      20000 Dubrovnik, Croatia.
FAU - Lipovac, Vlatko
AU  - Lipovac V
AD  - Department of Electrical Engineering and Computing, University of Dubrovnik, 
      20000 Dubrovnik, Croatia.
FAU - Modlic, Borivoj
AU  - Modlic B
AD  - Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 
      Zagreb, Croatia.
LA  - eng
PT  - Letter
DEP - 20200704
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC7374347
OTO - NOTNLM
OT  - BER abstraction
OT  - BER estimation
OT  - IoT
OT  - LTE
OT  - end-point
OT  - time-sampling
COIS- The authors declare no conflicts of interest.
EDAT- 2020/07/09 06:00
MHDA- 2020/07/09 06:01
PMCR- 2020/07/01
CRDT- 2020/07/09 06:00
PHST- 2020/05/28 00:00 [received]
PHST- 2020/06/30 00:00 [revised]
PHST- 2020/07/01 00:00 [accepted]
PHST- 2020/07/09 06:00 [entrez]
PHST- 2020/07/09 06:00 [pubmed]
PHST- 2020/07/09 06:01 [medline]
PHST- 2020/07/01 00:00 [pmc-release]
AID - s20133747 [pii]
AID - sensors-20-03747 [pii]
AID - 10.3390/s20133747 [doi]
PST - epublish
SO  - Sensors (Basel). 2020 Jul 4;20(13):3747. doi: 10.3390/s20133747.