Joint MU-mMIMO-OFDM with Hybrid Beamforming System Spectral Efficiency Improvement based NOMA Technique
Abstract
Due to the increasing number of users and high data rate requirements for multimedia applications in fifth-generation (5G) and beyond wireless systems, it’s necessary to incorporate spectral efficient techniques to overcome the limited available re-sources. The proposal of this paper is to employ a technique that improves the performance of a multi-user-massive multiple input multiple output orthogonal frequency division multiplexing (MU-mMIMO-OFDM) system with hybrid beamforming (HBF). The spectral efficiency (SE) is enhanced by incorporating the non-or-thogonal multiple access (NOMA) technique within each group of users. Multiple streams of users in a group are served with typical beams that could serve a single stream in existing MU-mMIMO-OFDM systems. Two different scenarios are considered for per-formance analysis. The SE reaches about 60 bits/s/HZ at 5dB sig-nal-to-noise ratio (SNR) when the base station (BS) is equipped with 64 antennas. The simulation results proved that the proposed MU-mMIMO-NOMA-OFDM system outperforms the existing models, where the user’s SE is enhanced by 117% when 128 an-tennas are deployed at the BS.
Keywords
NOMA, Spectral Efficiency (SE), Hybrid Beam-forming, Massive MIMO, mmWaveThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
R. Mohammed and N. Khamiss, "Joint MU-mMIMO-OFDM with Hybrid Beamforming System Spectral Efficiency Improvement based NOMA Technique," in Journal of Communications Software and Systems, vol. 20, no. 2, pp. 165-172, April 2024, doi: https://doi.org/10.24138/jcomss-2023-0181
@article{mohammed2024jointmmimo, author = {Raya K. Mohammed and Nasser N. Khamiss}, title = {Joint MU-mMIMO-OFDM with Hybrid Beamforming System Spectral Efficiency Improvement based NOMA Technique}, journal = {Journal of Communications Software and Systems}, month = {4}, year = {2024}, volume = {20}, number = {2}, pages = {165--172}, doi = {https://doi.org/10.24138/jcomss-2023-0181}, url = {https://doi.org/https://doi.org/10.24138/jcomss-2023-0181} }