Cooperative power delay profile estimation for vehicle-to-infrastructure communications

2016 ◽  
Author(s):  
Yan Yang ◽  
Yejun He
Keyword(s):  
Power Delay Profile ◽  
Vehicle To Infrastructure ◽  
Cooperative Power ◽  
Profile Estimation

scholarly journals Pilot-Symbol Assisted Power Delay Profile Estimation for MIMO-OFDM Systems

2014 ◽  
Vol 9 (5) ◽  
pp. 32-36
Author(s):  
D.Srinivasa Rao ◽  
◽  
S.Venkata Swamy ◽  
B.Praveen Chakravarthy
Keyword(s):  
Ofdm Systems ◽  
Pilot Symbol ◽  
Power Delay Profile ◽  
Mimo Ofdm ◽  
Profile Estimation

Time of arrival and power delay profile estimation for IR-UWB systems

2013 ◽  
Vol 93 (5) ◽  
pp. 1317-1327 ◽  
Author(s):  
Fang Shang ◽  
Benoit Champagne ◽  
Ioannis Psaromiligkos
Keyword(s):  
Time Of Arrival ◽  
Power Delay Profile ◽  
Profile Estimation

HRR profile estimation using SLIM

2019 ◽  
Vol 13 (4) ◽  
pp. 512-521 ◽  
Author(s):  
Pia Addabbo ◽  
Augusto Aubry ◽  
Antonio De Maio ◽  
Luca Pallotta ◽  
Silvia Liberata Ullo
Keyword(s):  
Profile Estimation

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.

Growth of single crystals of copper and their thermal profile estimation

Pramana ◽  
1986 ◽  
Vol 26 (2) ◽  
pp. 151-159 ◽  
Author(s):  
S K Khanna ◽  
M Sekar ◽  
A Michael David ◽  
K Govinda Rajan ◽  
P Bhaskar Rao
Keyword(s):  
Single Crystals ◽  
Thermal Profile ◽  
Profile Estimation
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