… NOMA-based applications are analyzed. Finally, a comparative … these based on various
performance evaluation metrics. But, … inference method used in the machine learning era [51]. …

… In [15], the authors study an underlay cognitive NOMA-based coordinated direct and relay
transmit network with imperfect CSI. Paper [16] studies the design of a transmit precoder for an …

… design, where OPS also attains outstanding performance … and resources, we propose a
deep learning (DL) approach to … match the analytical derivations and the deep neural network (…

… transfer (SWIPT) [7], [8] into a common design paradigm, referred to as an energyharvesting …
outage performance for a cooperative NOMA-based EH network. In [30], the analysis of …

… the throughput by involving underlay NOMA with Chained Fog … is designed to ensure the
cognitive radio (CR) networks receive … analysis is closely related to energy efficiency analysis. …

… Vu et al., “Performance analysis and deep learning design of underlay cognitive NOMA-based
CDRT networks with imperfect SIC and co-channel interference,” IEEE Trans. Commun., …

… -form expressions of the performance analysis will no longer be … Recently, machine learning
(ML) has been realized as a … a MIMO underlay CR multihop relay IoT network with multiple …

… as a design guideline. Obtained results reveal that overlay … The underlay model countenances
UTs to utilize licensed … demonstrated that NOMA-based overlay networks are more …

… In this paper, we propose a two-way relaying scheme using digital network coding in an
underlay cognitive radio network. In the proposed scheme, the transmit antenna selection and …

… single-hop underlay CR networks subject to imperfect CSI (… a comprehensive performance
analysis of USNOMA networks … to designing a better channel estimation approach for UAV …