Power domain multiplexing waveform for 5G wireless networks

Korhan Cengiz, Trakya Üniversitesi
Imran Baig, Dhofar University
Sumit Chakravarty, Kennesaw State University
Arun Kumar, JECRC University
Mahmoud A. Albreem, A’Sharqiyah University
Mohammed H. Alsharif, Sejong University
Peerapong Uthansakul, Suranaree University of Technology
Jamel Nebhen, Prince Sattam Bin Abdulaziz University
Ayman A. Aly, Taif University

Abstract

Power domain non-orthogonal multiple access combined with a universal filtered multi-carrier (NOMA-UFMC) has the potential to cope with fifth generation (5G) unprecedented challenges. NOMA employs power-domain multiplexing to support several users, whereas UFMC is robust to timing and frequency misalignments. Unfortunately, NOMA-UFMC waveform has a high peak-to-average power (PAPR) issue that creates a negative affect due to multicarrier modulations, rendering it is inefficient for the impending 5G mobile and wireless networks. Therefore, this article seeks to presents a discrete Hartley transform (DHT) pre-coding-based NOMA enabled universal filter multicarrier (UFMC) (DHT-NOMA-UFMC) waveform design for lowering the high PAPR. Additionally, DHT precoding also takes frequency advantage variations in the multipath wireless channel to get significant bit error rate (BER) gain. In the recommended arrangement, the throughput of the system is improved by multiplexing the users in the power domain and permitting the users with good and bad channel conditions to concurrently access the apportioned resources. The simulation outcomes divulge that the projected algorithm accomplished a gain of 5.8 dB as related to the conventional framework. Hence, it is established that the proposed DHT-NOMA-UFMC outperforms the existing NOMA-UFMC waveform. The key benefit of the proposed method over the other waveforms proposed for 5G is content gain due to the power domain multiplexing at the transmitting side. Thus, a huge count of mobile devices could be supported under specific restrictions. DHT-NOMA-UFMC can be regarded as the most effective applications for 5G Mobile and Wireless Networks. However, the main drawback of the proposed method is that the Fourier peak and phase signal is not easily estimated.