Application of GSVD‐based precoding in MIMO‐NOMA relaying systems. Issue 21 (16th February 2021)

• Record Type: Journal Article
• Authors: Rao, Chenguang; Ding, Zhiguo; Dai, Xuchu
• Is Part Of: IET communications. Volume 14:Issue 21(2020)
• Page Start: 3802
• Page End: 3812
• Publication Date: 2021-02-16
• Subjects: probability -- MIMO communication -- singular value decomposition -- eigenvalues and eigenfunctions -- matrix algebra -- precoding -- nonorthogonal multiple access -- telecommunication network reliability -- relay networks (telecommunication) -- wireless channels; GSVD‐based precoding -- nonorthogonal multiple access -- multiple channels -- squared generalised singular values -- outage probabilities -- multiple‐input multiple‐output relaying -- MIMO‐NOMA relaying systems -- generalised singular value decomposition based precoding -- several parallel single channels -- two users channel matrices -- relay channel matrix -- asymptotic case; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2020.0555
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In this study, a simple two‐user multiple‐input multiple‐output (MIMO) relaying scenario is considered. To efficiently exploit the spectrum resources, a generalised singular value decomposition (GSVD) based precoding scheme with non‐orthogonal multiple access (NOMA) is proposed, which converts the multiple channels into several parallel single channels. The performance of the proposed GSVD‐MIMO relaying scheme is evaluated by using the distribution characteristics of squared generalised singular values of two users' channel matrices and the eigenvalues of the relay's channel matrix to obtain the expressions of the average data rate and outage probabilities. Both the asymptotic case and a practical scenario with nodes equipped with finite numbers of antennas are analysed because the distribution characteristics of squared generalised singular values in the two cases are different. Two special cases, single‐input multiple‐output and multiple‐input single‐output are considered. Simulation experiments are carried out to verify the effectiveness and accuracy of the obtained analytical results.