TY - JOUR
T1 - The distribution characteristics of ordered gsvd singular values and its applications in mimo-noma
AU - Rao, Chenguang
AU - Ding, Zhiguo
AU - Dai, Xuchu
N1 - Funding Information:
Manuscript received July 28, 2020; accepted August 16, 2020. Date of publication August 19, 2020; date of current version December 10, 2020. The work is supported by the National Natural Science Foundation of China (No. 61971391). The associate editor coordinating the review of this letter and approving it for publication was H. Tabassum. (Corresponding author: Chenguang Rao.) Chenguang Rao and Xuchu Dai are with the CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei 230026, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Generalized singular value decomposition (GSVD) has been recently regarded as a competitive candidate among linear precoding schemes for multiple-input multiple-output (MIMO) non-orthogonal multiple-access (NOMA) systems. In this letter, an expression of the distribution of ordered GSVD singular values is presented as a tool of the analysis for the GSVD-based MIMO-NOMA scheme. Facilitated by this probability density function (PDF) result, approximated results for the outage probabilities at high signal-noise ratio (SNR) are obtained for the insightful performance evaluation. Simulation results are developed to verify the analytical results and the superior performance of the GSVD-based MIMO-NOMA scheme.
AB - Generalized singular value decomposition (GSVD) has been recently regarded as a competitive candidate among linear precoding schemes for multiple-input multiple-output (MIMO) non-orthogonal multiple-access (NOMA) systems. In this letter, an expression of the distribution of ordered GSVD singular values is presented as a tool of the analysis for the GSVD-based MIMO-NOMA scheme. Facilitated by this probability density function (PDF) result, approximated results for the outage probabilities at high signal-noise ratio (SNR) are obtained for the insightful performance evaluation. Simulation results are developed to verify the analytical results and the superior performance of the GSVD-based MIMO-NOMA scheme.
KW - Generalized singular value decomposition (GSVD)
KW - multiple-input multiple-output (MIMO)
KW - non-orthogonal multiple access (NOMA)
UR - http://www.scopus.com/inward/record.url?scp=85097756033&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2020.3017796
DO - 10.1109/LCOMM.2020.3017796
M3 - Article
AN - SCOPUS:85097756033
SN - 1089-7798
VL - 24
SP - 2719
EP - 2722
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 12
M1 - 9171284
ER -