BER Evaluation in LTE SC-FDMA under Multipath Channels
Sahar Ebadinezhad1, Saddam Hasan2
1Sahar Ebadinezhad*, Department of Computer Information System, Near East University, Nicosia TRNC, Mersin 10, Turkey.
2Saddam Hasan, Department of Electronic and Electrical Engineering, Cyprus International University, Lefkoşa, via Mersin 10, Turkey. 

Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3539-3547 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7767118419/2019©BEIESP | DOI: 10.35940/ijrte.D7767.118419

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Abstract: Channel equalization is very essential step in Single Carrier Frequency Division Multiple Access (SC-FDMA) transmission for overcoming the inter-symbol interference (ISI). Also, to evaluate the data-link and network scheduling of LTE technique, a particular channel modelling is crucial. Due to the techniques’ complexity and requirement of high bandwidth for data transmission in literature, we motivated to perform a comparative analysis for BER reduction in SCFDMA scheme with and without equalizer. Therefor, in order to enhance efficiency of performance and functionality of network application, due to huge demand for lower delay, latency and higher speed by the modern users, BER reduction is a significant factor for enhancing signal quality. The substantial focus of this research is to improve the uplink signal of LTE technology by using two type of linear equalization methods such as zero forcing (ZF) and minimum mean square error (MMSE) at receiver part. Moreover, analysis of BER and SNR for SC-FDMA systems are obtained under several channel models and two different sub-mapping. This evaluation is performed for SC-FDMA in uplink by aid of adaptive modulation techniques like QPSK. Finally, for evaluating the channel equalization efficiency with SC-FDMA and for investigating the response of an uplink transmitter, MATLAB framework, is applied in this study. The results reveal that PAPR reduction does not have significant impact on BER performance.
Keywords: Channel Equalization, Channel models, Long Term Evolution, Sub-mapping.
Scope of the Article: Software Maintenance and Evolution.