Journal of Theoretical and Applied Information Technology 30 th June 2018. Vol.96. No 12 © 2005 – ongoing JATIT & LLS ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 3791 SENDING IMAGE IN NOISY CHANNEL USING ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SCHEME 1* GHASSAN MUSLIM HASSAN, 2 KHAIRUL AZMI ABU BAKAR, 3 MOHD ROSMADI MOKHTAR 1, 2, 3 Faculty of Information Science & Technology, University Kebangsaan Malaysia (UKM), Malaysia * Computer Dep., College of Science, Al-Mustansiriyah University, Baghdad, Iraq E-mail: 1 gmhalsaddi@siswa.ukm.edu.my, 1 gmhalsaddi@yahoo.com, 2 khairul.azmi@ukm.edu.my, 3 mrm@ukm.edu.my ABSTRACT Orthogonal frequency division multiplexing (OFDM) is dependable in data transmission with high speed by the benefit of its robustness to multi-path fading, high data rate, and high spectral efficiency. OFDM is a multi-carrier modulation scheme. Synchronization is the major problems of the OFDM system. In this research, the power consumption was considering through a noisy channel when an image was transmitted in the OFDM system. To support the work, many features were tested such as minimizing the complexity with fast Fourier transforms/inverse fast Fourier transform (FFT/IFFT). The size of bandwidth (BW) play the main role and how its effect on the transmission and how its related to the FFT size (Nfft). The modulation type was also tested to see which one is the best for image transmitted. These types are phase shift keying (PSK) and quadrature amplitude modulation (QAM). In addition, signal to noise ratio (SNR) is one of the performances in OFDM system and consider one of the factors which wireless communication depends on related with bit error rate (BER). Another drawback of the OFDM system was Peak-to- average power ratio (PAPR), therefore, the effect of Nfft on the PAPR has been tested with simulation results in which additive white Gaussian noise (AWGN) had been used in the MATLAB simulation. Keywords: Bit Error Rate, Fast Fourier Transform, Orthogonal frequency division multiplexing, Peak-to- Average power ratio, Signal-to-Noise Ratio. 1. INTRODUCTION This By the improvement of the hardware, digital signal processing made orthogonal frequency division multiplexing (OFDM) an accurate decision for wireless systems [1]. Latterly, OFDM emerged as a key candidate for high-data- rate applications. Now, it's used for digital video broadcasting (DVB), digital audio broadcasting (DAB), wireless local area networks, fourth- generation cellular systems, and WiMAX [2]. The principle of OFDM system is as follows; The transmitted signal (data) is divided into many smaller sub-signals, transmit these sub- signal to receiver in a simultaneous manner with various frequencies. The main bandwidth (BW) is also divided into many subbabnds, therefore, the signal crosstalk was reduced using OFDM. Due to the channel transmission errors, the data are either missing or incorrect when an image had been transmitted [3]. It’s a challenging task when an image was transmitted over a fading channels without despised the perceptual quality and while mitigating the power consumption in many fields. Re-sending the lost packets every time in numerous applications, such as VB [9], is likewise impractical. Many of OFDM’s benefits are its facility to deal with severe channel conditions with no need for a complex equalization filter. In OFDM, a huge number of orthogonal, overlapping, and narrow band subcarriers are transmitted in parallel and used in digital communication [5], in which the spectra of these sub-carriers are closely spaced and overlapped to achieve high BW efficiency, therefore, the sub-carriers BW became small when compared with the coherence BW of the channel [4]. OFDM allows digital data, including image data, to be efficient and reliably transmitted in multipath environments by lowering