Fast mobile broadband is becoming a reality. It is estimated that almost 3.4 billion people will have broadband by 2014 (about 80 percent will be mobile broadband subscribers). LTE is one of the lastest technology for delevering services to those huge amount of subscribers. This project focuses on the channel estimation for uplink of the UMTS LTE where single carrier-frequency division multiple access (SC-FDMA) technique is utilized as multiple access air interfaces. Based on working assumptions of 3GPP, this project estimates and predicts time-varying nature (Doppler effects) of the channel for the UMTS LTE (uplink) by different low-complexity methods. The channel estimation is done in both the temporal-and-frequency-domain. The estimation of channel in frequency-domain is based on Interpolation method, Least Square (LS) method and Wiener filtering or Linear Minimum Mean Square Error (LMMSE) method. The estimation of channel in temporal-domain is done using linear Interpolation. The performance of all these schemes are compared by measuring bit-error-rate (BER) for different signal-to-noise ratio (SNR) with QAM-16 modulation on Rayleigh fading channel based on Jakes’ model.