On Optimal Beamforming Design for Downlink MISO NOMA Systems

Navaie, Keivan (2020) On Optimal Beamforming Design for Downlink MISO NOMA Systems. IEEE Transactions on Vehicular Technology. ISSN 0018-9545

[thumbnail of 08959161]
Text (08959161)
08959161.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (3MB)


This work focuses on the beamforming design for downlink multiple-input single-output (MISO) nonorthogonal multiple access (NOMA) systems. The beamforming vectors are designed by solving a total transmission power minimization (TPM) problem with quality-of-service (QoS) constraints. In order to solve the proposed nonconvex optimization problem, we provide an efficient method using semidefinite relaxation. Moreover, for the first time, we characterize the optimal beam- forming in a closed form with quasi-degradation condition, which is proven to achieve the same performance as dirty- paper coding (DPC). For the special case with two users, we further show that the original nonconvex TPM problem can be equivalently transferred into a convex optimization problem and easily solved via standard optimization tools. In addition, the optimal beamforming is also characterized in a closed form and we show that it achieves the same performance as the DPC. In the simulation, we show that our proposed optimal NOMA beamforming outperforms OMA schemes and can even achieve the same performance as DPC. Our solutions dramatically simplifies the problem of beamforming design in the downlink MISO NOMA systems and improve the system performance.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Vehicular Technology
Additional Information:
©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
?? automotive engineeringapplied mathematicscomputer networks and communicationselectrical and electronic engineeringaerospace engineering ??
ID Code:
Deposited By:
Deposited On:
06 Feb 2020 15:45
Last Modified:
09 Jan 2024 00:25