Error Recovery in Parallel Systems of Pipelined Processors with Caches

1994 ◽  
Author(s):  
Jeng-ping Lin ◽  
Shih-chang Wang ◽  
Sy-yen Kuo
Keyword(s):  
Parallel Systems ◽  
Error Recovery ◽  
Pipelined Processors

fMRI of Implicit and Explicit Sequence Learning: Evidence for Parallel Systems

2000 ◽  
Author(s):  
Joanna Salidas ◽  
Daniel B. Willingham ◽  
John D. E. Gabrieli
Keyword(s):  
Sequence Learning ◽  
Parallel Systems ◽  
Implicit And Explicit

Compiling Scientific Programs for Scalable Parallel Systems

2001 ◽  
Author(s):  
Ken Kennedy ◽  
John Mellor-Crummey ◽  
Guohua Jin ◽  
Vikram Adve ◽  
Robert J. Fowler
Keyword(s):  
Parallel Systems

scholarly journals Efficient Estimation of CFO-Affected OFDM BER Floor in Small Cells with Resource-Limited IoT End-Points

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3747
Author(s):  
Adriana Lipovac ◽  
Vlatko Lipovac ◽  
Borivoj Modlic
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Carrier Frequency Offset ◽  
Signal To Noise Ratio ◽  
Low Cost ◽  
Error Recovery ◽  
Efficient Estimation ◽  
Analytical Models ◽  
Small Cells ◽  
End Points ◽  
Power Delay Profile

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.

Sign in / Sign up

Export Citation Format

Share Document