Title
Overlap FDE with Signal Extraction Based on SIR Considering Time/Frequency Selectivity of Fading Channels
Abstract
Single carrier block transmission (SCBT) with overlap frequency-domain equalization (OFDE) can improve the spectral efficiency because the insertion of a guard interval (GI) is not required. With OFDE, the transmission performance and computational complexity depend on the number of extracted symbols following FDE. Therefore, this parameter should be determined adaptively, based on time-and-frequency-selective fading channels. Recently, an adaptive OFDE (AOFDE) based on a signal-to-interference power ratio (SIR) function that takes into account inter-block interference (IBI) was proposed. The conventional scheme can determine the adequate length for signal extraction in the case of frequency-selective fading channels. However, since the conventional scheme does not consider the time-selectivity of the channels, the transmission performance degrades. Therefore, in this paper, we propose an AOFDE which uses the SIR function to take into account both the time and frequency selectivity fading of the channels (TFS-AOFDE). By computer simulation, it is shown that the proposed scheme can provide better transmission performance than the conventional scheme.
Year
DOI
Venue
2019
10.1109/VTCFall.2019.8891188
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Keywords
Field
DocType
adaptive OFDE,AOFDE,signal-to-interference power ratio function,inter-block interference,signal extraction,SIR function,frequency selectivity fading,overlap FDE,single carrier block transmission,overlap frequency-domain equalization,computational complexity,time-and-frequency-selective fading channels
Equalization (audio),Noise measurement,Fading,Computer science,Communication channel,Algorithm,Electronic engineering,Guard interval,Interference (wave propagation),Spectral efficiency,Time–frequency analysis
Conference
ISSN
ISBN
Citations 
1090-3038
978-1-7281-1221-3
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Akinori Nakajiama100.34
Hiroyasu Sano262.46
Atsushi Okamura3558.06