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
Internet of Things (IoT) relay networks to … networks, a source node communicates with a
cell-center user via direct link and with a cell-edge user through the assistance of a master IoT

A deep-neural-network-based relay selection scheme in wireless-powered cognitive IoT networks

TV Nguyen, TN Tran, K Shim… - … Internet of Things …, 2020 - ieeexplore.ieee.org
relaying (IR) protocol was an efficient approach to improve the throughput of cooperative
relaying networks [8]… Motivated by these limitations, we propose a DNS scheme to evaluate and …

Relaying in the Internet of Things (IoT): A survey

U Uyoata, J Mwangama, R Adeogun - IEEE Access, 2021 - ieeexplore.ieee.org
… To accomplish this, we review current literature in the subject area while … relay networks.
Particularly, the approaches are classified as relay selection, secure relay-assisted IoT networks

Short-packet communications in wireless-powered cognitive IoT networks: Performance analysis and deep learning evaluation

CD Ho, TV Nguyen, T Huynh-The… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… , it has enabled a wide variety of applications such as relay … SPC relaying networks without
cognitive radio and relay selec… not provide practical applications in IoT networks with SPCs, …

Deep learning based relay selection and precoders design for IoT cognitive relay networks

D Sahu, S Maurya, M Bansal, D Kumar - Physical Communication, 2023 - Elsevier
… was considered during the relay selection while battery life of IoT relays and other … IoT-based
MIMO-cognitive multi-relay network (CMRN) to maximize end-to-end (E2E)-EE of the S S . It

[HTML][HTML] Evaluation of Full-Duplex SWIPT Cooperative NOMA-Based IoT Relay Networks over Nakagami-m Fading Channels

TT Nguyen, SQ Nguyen, PX Nguyen, YH Kim - Sensors, 2022 - mdpi.com
… -based IoT relay network over Nakagami-… a relay selection scheme to evaluate the outage
probability and average achievable rate of a multi-user system without EH. A machine learning

Distributed Q-learning based joint relay selection and access control scheme for IoT-oriented satellite terrestrial relay networks

B Zhao, G Ren, X Dong, H Zhang - IEEE Communications …, 2021 - ieeexplore.ieee.org
… The associate editor coordinating the review of this letter and approving it for … an IoT-oriented
STRN, where K active IoT devices are expected to access a satellite via J terrestrial relays

Cooperative NOMA-enabled SWIPT IoT networks with imperfect SIC: Performance analysis and deep learning evaluation

TH Vu, TV Nguyen, S Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
… two IoT users via the help of multiple energy-limited relay … far IoT user, we propose reactive
and proactive relay selection … in IoT networks, we design a deep learning framework for the …

Optimal relay node selection in time-varying IoT networks using apriori contact pattern information

S Redhu, RM Hegde - Ad hoc networks, 2020 - Elsevier
… selects a relay node based on joint optimization of two network parameters … relay node is
chosen at every instant in time. During performance evaluation, network contact patterns of IoT

[HTML][HTML] Machine learning-based relay selection for secure transmission in multi-hop DF relay networks

TT Nguyen, JH Lee, MT Nguyen, YH Kim - Electronics, 2019 - mdpi.com
… -stay combining schemes have been evaluated for opportunistic relay selection systems [9]. …
for the proposed relay selection by a machine learning method. In this study, it was assumed …