GS-QRNN: A high-efficiency automatic modulation classifier for cognitive radio IoT

P Ghasemzadeh, M Hempel… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Cognitive radio (CR) has been introduced into the Internet of Things (IoT) domain as a
potential solution to the critical spectrum resource shortage caused by a dramatic increase …

Hybrid NOMA/OMA-based dynamic power allocation scheme using deep reinforcement learning in 5G networks

HTH Giang, TNK Hoan, PD Thanh, I Koo - Applied Sciences, 2020 - mdpi.com
Non-orthogonal multiple access (NOMA) is considered a potential technique in fifth-
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …

Optimal Channel Selection and Switching Using Q-Learning in Cognitive Radio Ad Hoc Networks

A Srivastava, R Pal, A Prakash… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the rising demand for spectrum and the emergence of advanced communication
systems, there is a critical requirement for more efficient and streamlined approaches to …

Energy Efficiency and Throughput Analysis of Cognitive based Internet of Things

V Nallarasan, K Kottursamy - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
IoT and CRNs are becoming more popular in recent analysis and new technologies.
However, we suggest that until the Internet of things objects have cognitive radio …

[PDF][PDF] 인지무선망을위한기계학습기반무선자원관리기법연구

황티, 흐엉, 지앙 - 2021 - oak.ulsan.ac.kr
Spectrum scarcity is one of the essential issues in fifth-generation (5G) and beyond
communication systems. Moreover, in the last few decades, the number of dramatically …