Top image

Editorial board

Darius Andriukaitis
Kaunas University of Technology, Lithuania

Alexander Argyros
The University of Sydney, Australia

Radu Arsinte
Technical University of Cluj Napoca, Romania

Ivan Baronak
Slovak University of Technology, Slovakia

Khosrow Behbehani
The University of Texas at Arlington, United States

Mohamed El Hachemi Benbouzid
University of Brest, France

Dalibor Biolek
University of Defence, Czech Republic

Klara Capova
University of Zilina, Slovakia

Erik Chromy
UPC Broadband Slovakia, Slovakia

Milan Dado
University of Zilina, Slovakia

Petr Drexler
Brno University of Technology, Czech Republic

Eva Gescheidtova
Brno University of Technology, Czech Republic

Ray-Guang Cheng
National Taiwan University of Science and Technology, Taiwan, Province of China

Gokhan Hakki Ilk
Ankara University, Turkey

Janusz Jezewski
Institute of Medical Technology and Equipment, Poland

Rene Kalus
VSB - Technical University of Ostrava, Czech Republic

Ivan Kasik
Academy of Sciences of the Czech Republic, Czech Republic

Jan Kohout
University of Defence, Czech Republic

Ondrej Krejcar
University of Hradec Kralove, Czech Republic

Miroslaw Luft
Technical University of Radom, Poland

Stanislav Marchevsky
Technical University of Kosice, Slovakia

Byung-Seo Kim
Hongik University, Korea

Valeriy Arkhin
Buryat State University, Russia

Nguyen Truong Khang
Van Lang University, Vietnam

Rupak Kharel
University of Huddersfield, United Kingdom

Fayaz Hussain
Ton Duc Thang University, Vietnam

Peppino Fazio
Ca’ Foscari University of Venice, Italy

Fazel Mohammadi
University of New Haven, United States of America

Thang Trung Nguyen
Ton Duc Thang University, Vietnam

Le Anh Vu
Ton Duc Thang University, Vietnam

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

Nguyen Huu Khanh Nhan
Ton Duc Thang University, Vietnam

Zbigniew Leonowicz
Wroclaw University of Science and Technology, Poland

Wasiu Oyewole Popoola
The University of Edinburgh, United Kingdom

Yuriy S. Shmaliy
Guanajuato University, Mexico

Lorand Szabo
Technical University of Cluj Napoca, Romania

Tran Trung Duy
Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam

Xingwang Li
Henan Polytechnic University, China

Huynh Van Van
Ton Duc Thang University, Vietnam

Lubos Rejfek
University of Pardubice, Czech Republic

Neeta Pandey
Delhi Technological University, India

Huynh The Thien
Ho Chi Minh City University of Technology and Education, Vietnam

Mauro Tropea
DIMES Department of University of Calabria, Italy

Gaojian Huang
Henan Polytechnic University, China

Nguyen Quang Sang
Ho Chi Minh City University of Transport, Vietnam

Anh-Tu Le
Ho Chi Minh City University of Transport, Vietnam

Phu Tran Tin
Ton Duc Thang University, Vietnam

Home Search Mail RSS


Subhra Surochita MISHRA, Jibendu Sekhar Roy

DOI: 10.15598/aeee.v21i3.4987


These Single carrier frequency division multiple access (SC-FDMA) has very low power consumption at the sender’s side, and this is one of the potential candidates for uplink in long-term evolution (LTE). The objective of this work is to explore the error probability of SC-FDMA system under sub-carrier mapping in heavily faded areas where the signal-to-noise ratios (SNRs) are very low. Wireless environment with heavily faded areas includes military radio systems; direct sequence spread spectrum system (DS-SS), global positioning system (GPS) etc. The localized FDMA (LFDMA) and distributed FDMA (DFDMA) are used to compare the performances of SC-FDMA in heavily faded areas. In heavily faded area with negative signal-to-noise ratio (SNR), the SC-FDMA system is implemented using modulation and encoding methods to receive a very weak signal. Here, binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), 16-PSK, quadrature amplitude modulation (QAM) and 16-QAM modulation techniques are used to calculate the bit error rate (BER) performances. The results show the BER performances of SC-FDMA using mapping schemes for different channels, like, AWGN channel, Rayleigh channel, COST207TU, and COST207RA channel models for heavily faded areas. In AWGN channel, BER at -15dB is about 10 times more than BER at 15dB. The COST207 model shows that the BER is less in typical urban (TU) area compared to the rural area (RA).The performance of BPSK modulation in SC-FDMA system is better in heavily faded areas than other modulation schemes.


Channel models, heavily faded areas, quadrature amplitude modulation, SC-FDMA, sub-carrier mapping.


CHO, Y. S., J. KIM, W.Y. YANG and C.G. KANG.MIMO-OFDM Wireless Communications with MATLAB. John Wiley & Sons (Asia) Pte Ltd, 2010.ISBN 978-0-470-82561-7.

MYUNG, H. G. Introduction to single carrier FDMA. In: 15th European Signal Processing Conference (EUSIPCO). 2007, pp. 2144-2148. ISBN 978-83-921340-2-2.

JAWHAR, Y. A., Improving PAPR performance of filtered OFDM for 5G communications using PTS.ETRI Journal Wiley. 2021, vol. 43, iss. 2, pp. 209-220.ISSN 2233-7326. DOI:

KAMATHAM,Y. and S. POLLAMONI. Implementation of OFDM System with Companding for PAPR Reduction using NI-USRP and LabVIEW. In:2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). 2019, pp. 1-4.ISBN 978-1-7281-4499-3. DOI: 10.1109/WIECON-ECE48653.2019.9019946.

KHAN, M., S. IQBAL and W. ASGHAR. A Review paper on: The PAPR analysis of OFDM systems. International journal of Mobile Network Communications & Telematics (IJMNCT).2014, vol. 04, iss. 1, pp. 1-13.ISSN 1839-5678. DOI: 10.5121/ijmnct.2014.4101.

NAIDU, G. R.and V. M. RAO. Performance evaluation of companded localized FDMA for LTE uplink communications.SN Applied Sciences, A Springer Nature Journal.2020, vol. 2, iss. 7, pp. 1291.ISSN 2523-3971. DOI: 10.1007/s42452-020-3092-6.

CABRIC, D. Addressing the Feasibilityof Cognitive Radios.IEEE Signal Processing Magazine. 2008, vol. 25, iss. 6, pp. 85-93.ISSN 1053-5888. DOI: 10.1109/MSP.2008.929367.

CHUNG, K. H.On Negative Correlation Bit-to-Symbol(B2S) Mapping for NOMA with CorrelatedInformation Sources in 5G Systems.Journal of the KIECS. 2020, vol. 15, iss, 5, pp. 881-888.ISSN 1975-8170.DOI:

MYUNG, H. G., J. LIM and D. J. GOODMAN. Single carrier FDMA for uplink wireless transmission. IEEE Vehicular Technology Magazine. 2006,vol. 11, iss. 1, pp. 30-38.ISSN 1556-6072. DOI:10.1109/MVT.2006.307304.

CHISAB, R. F. and C. K. SHUKLA. Comparative study in performance for subcarrier mapping in uplink 4G-LTE under different channel cases. International Journal of Advanced Computer Science and Applications.2014, vol. 05, pp. 46-54.ISSN 2156-5570. DOI:10.14569/IJACSA.2014.050107.

MAHIND, U. and M. KADAM. BER Performance of OFDM System in Noise and Fading Channel for Modified SL0 Sparse Algorithm. Journal of Telecommunications System & Management. 2016,vol. 5, iss. 3, pp-363-368.ISSN 2167-0919. DOI:10.1109/ICGTSPICC.2016.7955329.

BANDOPADHAYA,S. and J. S. ROY. Spectral efficiency in wireless networks through MIMO-OFDM system, Chapter-10, Handbook of Research on Advanced Wireless Sensor Network Applications, Protocols and Architectures, IGI Global, 2017, pp. 249-277.ISSN 2327-3313.

FALCONER,D., S. L. ARIYAVISITAKUL, A. B. SEEYAR and B. EIDSON. Frequency domain equalization for single-carrier broadband wireless systems. IEEE Communications Magazine. 2002,vol. 40, pp. 58-66.ISSN 0163-6804. DOI:10.1109/35.995852.

CIMINI, L. J. J. Peak-to-average power ratio reduction of an OFDM signal using partial transmit sequences. IEEE Communications Letters.2000, vol. 4, iss. 3,pp. 86-88.ISSN 1089-7798. DOI:10.1109/4234.831033.

NOUNE, M. and A. NIX. Frequency-Domain Precoding for Single Carrier Frequency-Division Multiple Access. IEEE Communications Magazine. 2009, vol. 47, iss. 6,pp. 68-74.ISSN 0163-6804. DOI:10.1109/MCOM.2009.5116802.

RAMTEJ,S. and S. ANURADHA. On Companding Techniques to mitigate PAPR in SC-FDMA systems. International Journal of Wireless and Mobile Computing. 2020,vol. 18, iss. 3, pp. 295-302.ISSN 1741-1092. DOI:10.1504/IJWMC.2020.10028074.

CHAFII, M., F. BADER and J. PALICOT. SC-FDMA with Index Modulation for M2M and IoT Uplink Applications. IEEE Wireless Communications and Networking Conference (WCNC). 2018, pp. 1-5.ISBN 978-1-5386-1734-2. DOI:10.1109/WCNC.2018.8377028.

KASEM, E. and R. MARŠALEK. The Performance of LTE Advanced Uplink in Flat Rayleigh and Pedestrian Channels. Elektro Revue.2013, vol.4, iss. 3, pp.45-50.ISSN 1213-1539.

EBADINEZHAD,S. and S. HASAN. BER Evaluation in LTE SC-FDMA under Multipath Channels. International Journal of Recent Technology and Engineering (IJRTE).2019, vol.8, iss. 4, pp. 3539-3547.ISSN 2277-3878. DOI:10.35940/ijrte.D7767.118419.

MUSA, A. M., et. al., Distributed SC-FDMA sub-carrier assignment for digital mobile satellite. Alexandria Engineering Journal, Elsevier. 2021,vol. 60, iss. 6, pp. 4973-4980.ISSN 1110-0168. DOI:

RAWI, M. Al. Performance Analysis of OFDMA and SC-FDMA. Int. Rev. Appl. Sci. Eng.2017, vol. 08, iss. 02, pp. 113–116.ISSN 2062-0810. DOI:10.1556/1848.2017.8.2.2.

Full Text: