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A Precoding Based PAPR Minimization Schemes for NOMA in 5G Network

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Abstract

Fundamental issue exists in a wireless communication system is how to allocate a number of users within a limited spectrum resource. This leads to the development of promising technology known as Non-Orthogonal Multiple Access (NOMA). NOMA offers high spectral efficiency, massive connectivity, low latency and improved throughput. In this paper, we considered Peak to Average Power Ratio (PAPR) minimization and bit error rate performance (BER) for multiuser NOMA. In the present work, precoded NOMA system is intended to overtake the PAPR issues in downlink NOMA. Diverse unitary transforms like Walsh Hadamard Transform (WHT), Zadoff Chu Transform (ZCT), and Discrete Cosine Transform (DCT) are employed as linear precoding schemes to address the PAPR difficulties in NOMA system. Simulation outcomes presents, a linear precoding schemes that improve the performance of conventional NOMA at the expense of slight gain in complications.

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Authors and Affiliations

  1. Faculty of Engineering and Technology Exclusively for Women, Sharnbasva University, Kalaburagi, India

    Vanita B. Kaba

  2. GSSS Institute of Engineering and Technology for Women, Mysuru, India

    Rajendra R. Patil

Authors
  1. Vanita B. Kaba
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  2. Rajendra R. Patil
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Correspondence to Vanita B. Kaba.

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This article is part of the topical collection “Data Science and Communication” guest edited by Kamesh Namudri, Naveen Chilamkurti, Sushma S J and S. Padmashree.

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Kaba, V.B., Patil, R.R. A Precoding Based PAPR Minimization Schemes for NOMA in 5G Network. SN COMPUT. SCI. 2, 262 (2021). https://doi.org/10.1007/s42979-021-00639-z

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