TY - GEN
T1 - Downlink precoder design for two-user power-domain MIMO-noma with excess degrees of freedom
AU - Krishnamoorthy, Aravindh
AU - Schober, Robert
AU - Ding, Zhiguo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In this paper, we consider downlink precoder design for two-user power-domain multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) for the scenario where the receivers have fewer antennas than the transmitter. We propose a novel precoding scheme which takes advantage of the excess degrees of freedom (DoFs) at the transmitter to enhance MIMO-NOMA performance. The proposed precoder achieves simultaneous diagonalization of the MIMO channels of both users, assuming self-interference cancellation at one of the receivers, thereby lowering the overall decoding complexity. The performance of the proposed scheme is analyzed in terms of the ergodic rate using results from non-asymptotic random matrix theory. Our results show that the proposed scheme significantly outperforms orthogonal multiple access (OMA) and a benchmark precoder performing simultaneous diagonalization via generalized singular value decomposition (GSVD).
AB - In this paper, we consider downlink precoder design for two-user power-domain multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) for the scenario where the receivers have fewer antennas than the transmitter. We propose a novel precoding scheme which takes advantage of the excess degrees of freedom (DoFs) at the transmitter to enhance MIMO-NOMA performance. The proposed precoder achieves simultaneous diagonalization of the MIMO channels of both users, assuming self-interference cancellation at one of the receivers, thereby lowering the overall decoding complexity. The performance of the proposed scheme is analyzed in terms of the ergodic rate using results from non-asymptotic random matrix theory. Our results show that the proposed scheme significantly outperforms orthogonal multiple access (OMA) and a benchmark precoder performing simultaneous diagonalization via generalized singular value decomposition (GSVD).
UR - http://www.scopus.com/inward/record.url?scp=85070314894&partnerID=8YFLogxK
U2 - 10.1109/ICCW.2019.8756729
DO - 10.1109/ICCW.2019.8756729
M3 - Conference contribution
AN - SCOPUS:85070314894
T3 - 2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019 - Proceedings
BT - 2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019
Y2 - 20 May 2019 through 24 May 2019
ER -