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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

On the PAPR reduction: A novel filtering based hadamard transform precoded uplink MC-NOMA scheme for 5G cellular networks

Baig, Imran, Farooq, Umer, Hasan, N Ul, Zghaibeh, M, Rana, U Mukhtar, Imran, Muhammad and Ayaz, M (2018) On the PAPR reduction: A novel filtering based hadamard transform precoded uplink MC-NOMA scheme for 5G cellular networks. In: 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), 04-06 Apr 2018, Riyadh, Saudi Arabia.

Item Type: Conference or Workshop Item (Paper)


Multicarrier Non-Orthogonal Multiple Access (MC-NOMA) is a variant of hybrid NOMA, where, Orthogonal Frequency Division Multiple Access (OFDMA) may be employed due to its technical maturity. The MC-NOMA is one of the attractive schemes and likely to be employed in the forthcoming 5G Cellular Networks due to its massive connectivity, spectral efficiency, better cell coverage capability and higher data rate. However, all OFDMA based schemes suffer from the problem of high Peak-to-Average Power Ratio (PAPR). Therefore, in this paper, a novel Finite Impulse Response (FIR) filter based Hadamard Transform (HT) precoded uplink MC-NOMA scheme is presented for high PAPR reduction. MATLAB® simulations demonstrate that, the proposed FIR filter based HT precoded uplink MC-NOMA scheme outperform the HT precoded uplink MC-NOMA schemes without any filtering and conventional uplink MC-NOMA schemes available in literature.

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More Information

Uncontrolled Keywords: component MC-NOMA OFDMA 5G Cellular Networks PAPR Hadamard Transform
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Depositing User: Umer Farooq


Item ID: 16385
Official URL:

Users with ORCIDS

ORCID for Umer Farooq: ORCID iD

Catalogue record

Date Deposited: 15 Aug 2023 11:01
Last Modified: 15 Aug 2023 11:01


Author: Umer Farooq ORCID iD
Author: Imran Baig
Author: N Ul Hasan
Author: M Zghaibeh
Author: U Mukhtar Rana
Author: Muhammad Imran
Author: M Ayaz

University Divisions

Faculty of Technology > School of Engineering


Engineering > Electrical Engineering

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