… the NOMA users by optimizing power allocation coefficients. In addition, a novel multi-output deeplearning (DL) framework is designed to … Furthermore, our designed multioutput DL also …
TH Vu, TV Nguyen, S Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
… Also, it is clear that cooperative NOMA in cognitive … propose a novel cognitiveNOMA-based IoT-relay (C-NOMA-IoT) … To tackle this challenge, we design a deep learning framework for …
… Moreover, the key challenges are outlined to provide guidelines for the domain researchers and designers to realize CRNs with NOMA. Finally, open issues are discussed. …
… To tackle this problem, we design a general DLF as a new alternative DLFs towards real-time configurations for practical performance evaluation, especially in EC and ESC predictions, …
… Section III outlines the architecture of NOMA, CR, and CR-based NOMA networks and their operating environments. In Section IV, we point out the main design challenges related to the …
Z Shi, X Xie, H Lu, H Yang, J Cai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… In addition, in order to prolong the battery life and improve the learning efficiency of the DRL-based algorithm, we design an action adjuster, the principle of which is shown in Algorithm 1…
M Liu, T Song, G Gui - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
… Therefore, designing effective UP and RA schemes are significantly important to optimize … it on the perspective of the cognitive radio network (CRN) [22]. Previously, CRNOMA was only …
… analysis of cognitive-inspired wireless-powered non-orthogonal multiple access (NOMA) systems… For the second scheme, SS’ operation is considered with two relaying-encoding NOMA …
A Kumar, K Kumar - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
… -NOMA system design for maintaining beam alignment and enhancing system fairness. [23] Grant free-NOMA exploits … [24] Deep multi task learning of NOMAdesign and examined. [25] …