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

A Joint Filtering and Precoding Based Uplink MC-NOMA

Baig, Imran, Farooq, Umer, Hasan, N UI, Zghaibeh, Manaf, Rana, U Mukhtar, Imran, Muhammad and Ayaz, Muhammad (2018) A Joint Filtering and Precoding Based Uplink MC-NOMA. In: 2018 International Symposium on Networks, Computers and Communications (ISNCC), 19-21 Jun 2018, Rome, Italy.

Item Type: Conference or Workshop Item (Paper)

Abstract

Non Orthogonal Multiple Access (NOMA) has become one of the prospective candidates for upcoming 5 th generation Cellular network standard. Multicarrier NOMA (MC-NOMA) is a kind of hybrid NOMA, where, Orthogonal Frequency Division Multiple Access (OFDMA) may be employed to achieve higher capacity. However, MC-NOMA scheme based on OFDMA face the problem of higher Peak-to-Average Power Ratio (PAPR). The high PAPR reduces both energy and spectral efficiency of the MC-NOMA scheme. Therefore, in this paper, a new Finite Impulse Response (FIR) filtering based Zadoff-Chu Matrix Transform (ZCMT) precoded uplink MC-NOMA scheme is presented to reduce higher PAPR. MATLAB® simulations demonstrate that, the proposed filter based ZCMT precoded uplink MC-NOMA scheme outperform the ZCMT precoded uplink MC-NOMA schemes without filtering, uplink Single Carrier NOMA (SC-NOMA) schemes and conventional uplink MC-NOMA schemes available in the literature.

Full text not available from this repository.

More Information

Uncontrolled Keywords: Uplink Peak to average power ratio NOMA Finite impulse response filters Precoding Bandwidth
Related URLs:
Depositing User: Umer Farooq

Identifiers

Item ID: 16388
URI: http://sure.sunderland.ac.uk/id/eprint/16388
Official URL: https://ieeexplore.ieee.org/abstract/document/8531...

Users with ORCIDS

ORCID for Umer Farooq: ORCID iD orcid.org/0000-0002-5220-4908

Catalogue record

Date Deposited: 15 Aug 2023 08:54
Last Modified: 15 Aug 2023 08:54

Contributors

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

University Divisions

Faculty of Technology > School of Engineering

Subjects

Engineering > Electrical Engineering

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