Non-orthogonal multiple access (NOMA) is a rapidly emerging paradigm with the capability to improve the spectral efficiency of data-driven, intelligence inspired, and highly digitized …
WU Khan, Z Yu, S Yu, GAS Sidhu, J Liu - IET Communications, 2019 - Wiley Online Library
Recently, non‐orthogonal multiple access (NOMA) has been considered as a promising radio access technique for the upcoming fifth generation networks. In this study, the authors …
In this paper, we propose a joint channel allocation and power control algorithm by using cognitive radio non-orthogonal multiple access (CR-NOMA) for femtocell users (FUs). The …
H Tran, VH Dang, D Niyato, DN Cuong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper considers a multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) cognitive radio (CR) system with an unmanned aerial vehicle relay (UR). In …
Z Ali, GAS Sidhu, F Gao, J Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The future generation of wireless communication networks demands for high spectral efficiency to accommodate a large number of devices over the limited available frequency …
J Ding, J Cai, C Yi - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
The multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) has been considered as a promising multiple access technology for the fifth generation (5G) networks …
Y Xu, RQ Hu, G Li - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Resource allocation (RA) is a key technique to guarantee the quality of service of users and maximize the system capacity in cognitive nonorthogonal multiple access (NOMA) networks …
To support the massive connectivity in Internet of Things (IoT), several promising techniques like cognitive radio (CR) and non-orthogonal multiple access (NOMA) enables the user to …
In the last few years, we have witnessed an exponential increase in the popularity of Internet- enabled smart devices. In this era, various smart devices generate a huge amount of data …