- Title
- A hybrid precoding- and filtering-based uplink MC-LNOMA scheme for 5G cellular networks with reduced PAPR
- Creator
- Baig, Imran; Farooq, Umer; Ahmed, Ejaz; Imran, Muhammad; Shoaib, Muhammad
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181849
- Identifier
- vital:15999
- Identifier
-
https://doi.org/10.1002/ett.3501
- Identifier
- ISBN:2161-5748 (ISSN)
- Abstract
- Uplink multicarrier localized nonorthogonal multiple access (MC-LNOMA) is a variant of hybrid nonorthogonal multiple access, where subcarrier mapping is performed in localized mode. MC-LNOMA is one of the most prominent emerging schemes and likely to be employed in the forthcoming fifth-generation cellular networks due to its massive connectivity, spectral efficiency, better cell coverage capability, and higher data rate. It may employ orthogonal frequency-division multiple access due to the technical ripeness. However, schemes based on orthogonal frequency-division multiple access all suffer from the high peak-to-average power ratio problem. Therefore, in this paper, a new finite impulse response filter–based discrete cosine transform–precoded uplink MC-LNOMA scheme is presented for peak-to-average power ratio reduction. MATLAB simulations demonstrate the performance supremacy of the proposed scheme compared to contemporary schemes such as discrete cosine transform–precoded uplink MC-LNOMA and nonprecoded uplink MC-LNOMA. © 2018 John Wiley & Sons, Ltd.
- Publisher
- Wiley Blackwell
- Relation
- Transactions on Emerging Telecommunications Technologies Vol. 29, no. 10 (2018), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2018 John Wiley & Sons, Ltd
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software
- Reviewed
- Funder
- M. Imran's and M. Shoaib's work was supported by the Deanship of Scientific Research, King Saud University through Research Group No. RG-1439-036.
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