Open Access
ARTICLE
An Adaptive Power Allocation Scheme for Performance Improvement of Cooperative SWIPT NOMA Wireless Networks
Manimekalai Thirunavukkarasu1, Romera Joan Sparjan1, *, Laxmikandan Thangavelu1
1 College of Engineering Guindy, Anna University, Chennai, 600025, India.
* Corresponding Author: Romera Joan Sparjan. Email: .
Computers, Materials & Continua 2020, 63(2), 1043-1064. https://doi.org/10.32604/cmc.2020.09819
Received 20 January 2020; Accepted 23 February 2020; Issue published 01 May 2020
Abstract
Future wireless networks demand high spectral efficiency, energy efficiency
and reliability. Cooperative non-orthogonal multiple access (NOMA) with simultaneous
wireless information and power transfer (SWIPT) is considered as one of the novel
techniques to meet this demand. In this work, an adaptive power allocation scheme called
SWIPT based adaptive power allocation (SWIPT-APA-NOMA) is proposed for a power
domain NOMA network. The proposed scheme considers the receiver sensitivity of the
end users while calculating the power allocation coefficients in order to prevent wastage
of power allocated to user in outage and by offering priority to any one of the users to use
maximum harvested power. A detailed analysis on the bit error rate (BER) performance
of the proposed scheme is done and closed form expression is obtained. Simulations have
been carried out with various parameters that influence the receiver sensitivity and the
results show that the network achieves better outage and BER performance using the
proposed scheme. It is found that the proposed scheme leads to a ten-fold decrease in
transmit power for the same error performance of a fixed power allocation scheme.
Further, it offers 96.06% improvement in the capacity for a cumulative noise figure and
fading margin of 10 dB.
Keywords
Cite This Article
M. Thirunavukkarasu, R. Joan Sparjan and L. Thangavelu, "An adaptive power allocation scheme for performance improvement of cooperative swipt noma wireless networks,"
Computers, Materials & Continua, vol. 63, no.2, pp. 1043–1064, 2020. https://doi.org/10.32604/cmc.2020.09819