Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137251
Title: Capacity-achieving MIMO-NOMA : iterative LMMSE detection
Authors: Liu, Lei
Chi, Yuhao
Yuen, Chau
Guan, Yong Liang
Li, Ying
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Liu, L., Chi, Y., Yuen, C., Guan, Y. L., & Li, Y. (2019). Capacity-achieving MIMO-NOMA : iterative LMMSE detection. IEEE Transactions on Signal Processing, 67(7), 1758–1773. doi:10.1109/TSP.2019.2896242
Journal: IEEE Transactions on Signal Processing
Abstract: This paper considers a low-complexity iterative Linear Minimum Mean Square Error (LMMSE) multi-user detector for the Multiple-Input and Multiple-Output system with Non-Orthogonal Multiple Access (MIMO-NOMA), where multiple single-antenna users simultaneously communicate with a multiple-antenna base station (BS). While LMMSE being a linear detector has a low complexity, it has suboptimal performance in multi-user detection scenario due to the mismatch between LMMSE detection and multi-user decoding. Therefore, in this paper, we provide the matching conditions between the detector and decoders for MIMO-NOMA, which are then used to derive the achievable rate of the iterative detection. We prove that a matched iterative LMMSE detector can achieve (i) the optimal capacity of symmetric MIMO-NOMA with any number of users, (ii) the optimal sum capacity of asymmetric MIMO-NOMA with any number of users, (iii) all the maximal extreme points in the capacity region of asymmetric MIMO-NOMA with any number of users, (iv) all points in the capacity region of two-user and three-user asymmetric MIMO-NOMA systems. In addition, a kind of practical low-complexity error-correcting multiuser code, called irregular repeat-accumulate code, is designed to match the LMMSE detector. Numerical results shows that the bit error rate performance of the proposed iterative LMMSE detection outperforms the state-of-art methods and is within 0.8dB from the associated capacity limit.
URI: https://hdl.handle.net/10356/137251
ISSN: 1053-587X
DOI: 10.1109/TSP.2019.2896242
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TSP.2019.2896242.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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