Performance Improvement of Wi-MAX System using QAM Modulation and Moving Average Filter

WiMAX is introduced by the Institute of Electrical and Electronic Engineers (IEEE). Wireless provides a worldwide interoperability for microwave access. Now-adays telecommunication industries are highly concerned with the wireless transmission of data, which can employ many transmission types, from point to multipoint links. It contains full mobile internet access. several applications have already been applied so far using Wi-MAX, as alternative to 3G mobile systems in developing countries, Wireless Digital Subscriber Line (WDSL), Wireless Local Loop (WLL). IEEE 802.16e-2005 has been developed for mobile wireless communication which is based on OFDM technology and this enables going towards the 4G mobile in the future. In this paper , we built a simulation model based on moving average filter implementation and demonstrated in different simulation scenarios with different modulation techniques such as BPSK, QPSK and QAM (Both 16 and 64) to find out the best performance of physical layer for WiMAX Mobile. All the essential conditions were implemented in the simulation according to the 802.16e OFDMA-PHY specification. The noise channel AWGN, Rayleigh fading, data randomization methods, FFT, IFFT, and Adaptive modulation is used for the whole simulation method. The performance has been concluded based on BER, SNR and Pe outcome through MATLAB Simulation. Keywords-Wi-Max, BPSK, QPSK, QAM, and Moving Average Filter.