Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network
Mohamed Hassan,
Manwinder Singh (),
Khalid Hamid,
Rashid Saeed,
Maha Abdelhaq and
Raed Alsaqour
Additional contact information
Mohamed Hassan: Department of Wireless Communication, Lovely Professional University, Phagwara 144001, Punjab, India
Manwinder Singh: Department of Wireless Communication, Lovely Professional University, Phagwara 144001, Punjab, India
Khalid Hamid: Department of Communication Systems Engineering, University of Science & Technology, Khartoum P.O. Box 30, Sudan
Rashid Saeed: Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Maha Abdelhaq: Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Raed Alsaqour: Department of Information Technology, College of Computing and Informatics, Saudi Electronic University, P.O. Box 93499, Riyadh 93499, Saudi Arabia
Energies, 2022, vol. 15, issue 19, 1-11
Abstract:
Cooperative non-orthogonal multiple access (NOMA) is a technology that addresses many challenges in future wireless generation networks by delivering a large amount of connectivity and huge system capacity. The aim of this paper is to design the varied distances and power location coefficients for far users. In addition, this paper aims to evaluate the outage probability (OP) performance against a signal-to-noise ratio (SNR) for a 6G downlink (DL) NOMA power domain (PD) and DL cooperative NOMA PD networks. We combine a DL cooperative NOMA with a 16 × 16, a 32 × 23, and a 64 × 64 multiple-input multiple-output (MIMO) and a 128 × 128, a 256 × 256, and a 512 × 512 massive MIMO in an innovative method to enhance OP performance rate and mitigate the power location coefficient’s effect for remote users. The results were obtained from Rayleigh fading channels using the MATLAB simulation software program. According to the outcomes, increasing the power location coefficients for the far user from 0.6 to 0.8 reduces the OP rate because increasing the power location coefficient for the far user decreases the power location coefficient for the near user, which results in less interference between them. In terms of the OP performance rate, the DL cooperative NOMA outperforms the NOMA. According to the findings, the DL cooperative NOMA OP rate outperforms the DL NOMA by a rate of 10 −0.5 . Whereas the 16 × 16 MIMO enhances the OP for the far user by 78.0 × 10 −4 , the 32 × 32 MIMO increases the OP for the far user by 19.0 × 10 −4 , and the 64 × 64 MIMO decreases the OP rate for the far user by 5.0 × 10 −5 . At a SNR of 10 dB, the 128 × 128 massive MIMO improves the OP for the far user by 1.0 × 10 −5 . The 256 × 256 massive MIMO decreases the OP for the far user by 43.0 × 10 −5 , and the 512 × 512 massive MIMO enhances the OP for the far user by 8.0 × 10 −6 . The MIMO techniques improve the OP performance, while the massive MIMO technology enhances the OP performance dramatically.
Keywords: non-orthogonal multiple access (NOMA); outage probability (OP); power domain (PD); multiple-input multiple-output (MIMO); 6G network; massive multiple-input multiple-output (MIMO) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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