Optimizing Transmission Rate in NOMA via Block Diagonalization Beamforming and Power Allocation

In this paper, we propose a new transmission scheme, relying on user clustering, transmit beamforming and power allocation, for non-orthogonal multiple access (NOMA) in a downlink cellular framework. Assuming that channel state information is available at the base station, the users are first partit...

Full description

Saved in:
Bibliographic Details
Published in2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) pp. 1 - 5
Main Authors Norouzi, Sara, Morsali, Alireza, Champagne, Benoit
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Array signal processing
block diagonalization beamforming
Downlink
maximum ratio transmission (MRT) beamforming
multi-objective optimization
NOMA
non-orthogonal multiple access (NOMA)
Numerical analysis
Optimization
Reactive power
Resource management
Signal to noise ratio
Spectral efficiency
Vectors
Online AccessGet full text
DOI10.1109/PACRIM47961.2019.8985113

Cover

More Information
Summary:In this paper, we propose a new transmission scheme, relying on user clustering, transmit beamforming and power allocation, for non-orthogonal multiple access (NOMA) in a downlink cellular framework. Assuming that channel state information is available at the base station, the users are first partitioned into small clusters based on a weighted multi-objective optimization, so that each cluster may be served by a single beamforming vector. The complete set of beamforming vectors is jointly designed to remove inter-cluster interference by taking advantage of block diagonalization along with maximum ratio transmission. Subsequently, the NOMA power allocation factors for the users in each cluster are determined by solving an optimization problem, where the aim is to maximize the transmission sum rate subject to power and SINR constraints. The performance of the proposed NOMA scheme is validated by means of numerical analysis. Compared to the benchmark approaches, the results show significant improvements in terms of spectral efficiency and interference cancellation.
DOI:10.1109/PACRIM47961.2019.8985113