Title: An energy efficient NOMA-based spectrum sharing techniques for cell-free massive MIMO

Authors: Ch. Gangadhar; K. Chanthirasekaran; K. Ramesh Chandra; Aditi Sharma; M. Thangamani; Ponnusamy Siva Kumar

Addresses: Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, India ' Institute of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India ' Department of ECE, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India ' Department of Computer Science and Engineering, Parul University, Vadodara, India ' Department of Information Technology, Kongu Engineering College, Tamil Nadu, India ' Department of Computer Science and Engineering, SRM Institute of Science & Technology, Delhi NCR Campus, Uttar Pradesh, India

Abstract: In this paper, a hybrid spectrum optimisation strategy is introduced to enhance resource sharing capability concerning variable sum rate and minimum interference ratio of the secondary users (SUs) for cell-free massive multiple input multiple output (CF-MIMO) system and induce energy using non-orthogonal multiple access (NOMA) resource allocation-based algorithm. The proposed optimistic clustering method includes the secondary users (SUs) placed in different radical coverage with fixed distance forming irregular cluster group size depend upon their interference degree and converges dynamic stability. The NOMA-RA algorithm enhances the variable sum rate by assigning different cluster groups, conquering with suitable sub-channels. The simulation parameters are normalised interference ratio, pilot insertion, received signal strength (RSS), successive interference cancellation (SIC) and uplink and downlink transmission power. As the results show, significant improvement is achieved by the available amount of SUs in terms of variable sum rate and minimum interference ratio as compared with CF-MIMO and NOMA, respectively.

Keywords: hybrid optimum spectrum sharing; CF-MIMO; cell-free; CF; NOMA-RA-based CF-MIMO.

DOI: 10.1504/IJESMS.2022.126300

International Journal of Engineering Systems Modelling and Simulation, 2022 Vol.13 No.4, pp.284 - 288

Received: 31 Jul 2021
Accepted: 02 Sep 2021
Published online: 19 Oct 2022 *

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