BER Estimation: Mitigation Methods

Several transmission modes are defined in IEEE 802.11 a/b/g WLAN standards. A very few transmission modes are considering for IEEE 802.11 a/b/g in physical layer parameters and wireless channel characteristics. In this paper, a MATLAB based approach for is used for BER estimation of AWGN channel using MonteCarlo method. Further BER estimation of AWGN channel is compared with that of Rayleigh fading channel. MATLAB based Monte Carlo simulation example is presented, which comprises performance estimation of Binary phase shift keying (BPSK) signaling over a Rayleigh fading channel [13].Also various mitigation effects are studied and their effects are shown[11]. General Terms Digital Modulation, Fading, BER (Bit Error Ratio), Mitigation Methods

[1]  Nikolay KOSTOV,et al.  Mobile Radio Channels Modeling in MATLAB , 2003 .

[2]  P. Mohana Shankar,et al.  Simulation of flat fading using MATLAB for classroom instruction , 2002, IEEE Trans. Educ..

[3]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[4]  Yahong Rosa Zheng,et al.  Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms , 2002, IEEE Communications Letters.

[5]  F. Gagnon,et al.  On Accuracy and Efficiency of Monte-Carlo BER Simulations for Fading Channels , 2007, 2007 International Symposium on Signals, Systems and Electronics.

[6]  B. Sklar,et al.  Rayleigh Fading Channels in Mobile Digital Communication Systems Part II: Mitigation , 1997, IEEE Communications Magazine.

[7]  G. Black,et al.  Probabilities , 1875, The American journal of dental science.