DocumentCode
3293678
Title
Optimization of guard interval for OFDM performance over fading and AWGN channels using genetic algorithm
Author
Bakir, M. ; Belhachat, M. ; Liu, J.G. ; Zhu, S.Z.
Author_Institution
Dept. of Electron. Sci. & Technol., East China Normal Univ., Shanghai, China
Volume
2
fYear
2004
fDate
31 May-2 June 2004
Firstpage
457
Abstract
Orthogonal frequency division multiplexing (OFDM) is an attractive modulation technique for high data rata wireless local area network (WLAN) because of its good performance in fading channels. In this paper, we employ genetic algorithm (GA) to achieve a minimum degradation of OFDM system over multipath fading and additive white Gaussian noise (AWGN) channels. GA is used to extract the optimum value of the guard interval (GI) parameter, which is introduced to solve the problem of interferences that occur at the receiver. The results show that the optimum value of GI is strongly depends on the maximum delay spread. A series of simulations for the bit error rate (BER) performance as a function of subcarrier L with QPSK as modulation scheme for an optimal GI are presented.
Keywords
AWGN channels; OFDM modulation; delays; error statistics; fading channels; genetic algorithms; interference; multipath channels; optimisation; quadrature phase shift keying; wireless LAN; AWGN channels; OFDM; QPSK; WLAN; additive white Gaussian noise; bit error rate; genetic algorithm; guard interval; interference; maximum delay spread; multipath fading channel; optimization; optimum value; orthogonal frequency division multiplexing; wireless local area network; AWGN channels; Additive white noise; Bit error rate; Data mining; Degradation; Fading; Genetic algorithms; Interference; OFDM modulation; Wireless LAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN
0-7803-7938-1
Type
conf
DOI
10.1109/CASSET.2004.1321922
Filename
1321922
Link To Document