[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

Integration of cognitive radio technology in NOMA-based B5G networks: State of the art, challenges, and enabling technologies

HB Salameh, S Abdel-Razeq, H Al-Obiedollah - IEEE Access, 2023 - ieeexplore.ieee.org
The integration of cognitive radio (CR) technology and non-orthogonal multiple access
(NOMA) techniques, referred to as CR-based NOMA systems, has been recently configured …

Joint impacts of imperfect CSI and imperfect SIC in cognitive radio-assisted NOMA-V2X communications

DT Do, TA Le, TN Nguyen, X Li, KM Rabie - IEEE Access, 2020 - ieeexplore.ieee.org
In this study, the performance of a secondary network in cognitive radio (CR) is studied in
the context of vehicle-to-everything (V2X). The non-orthogonal multiple access (NOMA) is …

Outage performance analysis of reconfigurable intelligent surfaces-aided NOMA under presence of hardware impairment

A Hemanth, K Umamaheswari, AC Pogaku… - IEEE …, 2020 - ieeexplore.ieee.org
The future of wireless communications looks exciting with the potential new use cases and
challenging requirements of future 6th generation (6G) wireless networks. Since the …

User grouping and energy harvesting in UAV-NOMA system with AF/DF relaying

DT Do, AT Le, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The development of unmanned aerial vehicles (UAVs) is one of the driving forces for
revolutionizing wireless communications in the modern era. Although there are many unique …

Optimal resource allocation for RF-powered underlay cognitive radio networks with ambient backscatter communication

Y Zhuang, X Li, H Ji, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study radio frequency (RF)-powered underlay cognitive radio networks
(CRNs) with power-domain non-orthogonal multiple access (NOMA). In these networks, by …

Performance of adaptive multi-user underlay NOMA transmission with simple user selection

A Jee, K Janghel, S Prakriya - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
In this paper, we demonstrate that despite the power constraints on all transmit nodes
caused by the interference temperature limit (ITL) imposed by the primary user, power …

Performance analysis of NOMA-based underlay cognitive radio networks with partial<? brk?> relay selection

V Aswathi, AV Babu - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
This paper investigates outage and throughput performance of non-orthogonal multiple
access (NOMA) based underlay cognitive radio (ie, CR-NOMA) network under partial relay …

Wireless powered cognitive NOMA-based IoT relay networks: Performance analysis and deep learning evaluation

TH Vu, TV Nguyen, S Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In this article, we study novel wireless powered cognitive nonorthogonal multiple access
(NOMA)-based Internet-of-Things (IoT) relay networks to improve the performance of a cell …

Performance analysis of clustering car-following V2X system with wireless power transfer and massive connections

DT Do, MS Van Nguyen, M Voznak… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the rapid growth of vehicles, the vehicular networks meet main challenges such as
dynamic, heterogeneous, and large scaled. In addition, the cellular-based vehicular …