DocumentCode :
3004884
Title :
Error probability analysis of OFDM systems with ICI self-cancellation over AWGN and Rayleigh flat-fading channels
Author :
Wang, Yin ; Huang, Zhiyu
Author_Institution :
Dept. of EE, Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
8-10 Oct. 2009
Firstpage :
798
Lastpage :
802
Abstract :
Self-cancellation schemes have received a lot of attention due to their simple implementation and high efficiency to suppress intercarrier interference (ICI) in Orthogonal Frequency Division Multiplexing (OFDM) systems. Among those ICI self-cancellation methods, Symmetric Conjugate Symbol Repetition (SCSR) has been proven to have the best bit error ratio (BER) performance for phase noise suppression. In this paper, we investigate the performance of OFDM systems with SCSR ICI self-cancellation in the presence of both phase noise (PHN) and carrier frequency offset (CFO), and derive analytical expressions to calculate error probability evaluated by symbol error ratio (SER) over AWGN and Rayleigh flat fading channels. An approach of second order approximation of PHN/CFO has been performed to estimate the residual ICI, which could provide more accurate results. Simulation results show perfect agreement with those obtained by theoretical analysis, which could be used to estimate MQAM-OFDM system error probability, facilitating the design of the overall system.
Keywords :
AWGN channels; OFDM modulation; Rayleigh channels; error statistics; interference suppression; phase noise; quadrature amplitude modulation; AWGN channels; BER; CFO; ICI self-cancellation; MQAM-OFDM system error probability; OFDM systems; Rayleigh flat-fading channels; SCSR; SER; bit error ratio; carrier frequency offset; error probability; intercarrier interference; orthogonal frequency division multiplexing; phase noise; second order approximation; symbol error ratio; symmetric conjugate symbol repetition; AWGN; Analytical models; Bit error rate; Error analysis; Error probability; Fading; Interference suppression; OFDM; Performance analysis; Phase noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4784-8
Electronic_ISBN :
978-1-4244-4785-5
Type :
conf
DOI :
10.1109/APCC.2009.5375483
Filename :
5375483
Link To Document :
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