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 …

Throughput Analysis of SWIPT-Enabled Multiuser IoT Networks With Hardware Imperfections Over Nakagami-m Fading Channels

P Kharwar, S Yadav, N Purohit… - … and Signal Processing …, 2021 - ieeexplore.ieee.org
This paper examines the throughput performance of multiuser Internet of Things (IoT) relay
networks in the presence of transceiver hardware impairments, where K IoT users …

[HTML][HTML] Spectrally efficient cognitive relaying for IoT networks

JB Vishnu, S Lavanya, MA Bhagyaveni - Wireless Personal …, 2022 - Springer
Current research emphasis on IoT (Internet-of-Things) to enable physical objects to connect,
co-ordinate among themselves in a ubiquitous manner. Specifically, for this type of …

Resource allocation for URLLC in 5G mission-critical IoT networks

H Ren, C Pan, Y Deng, M Elkashlan… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Ultra-reliable and low-latency communication (URLLC) is one of three pillar applications that
should be supported by the fifth generation (5G) communications. The research on this topic …

Performance analysis and deep learning design of wireless powered cognitive NOMA IoT short-packet communications with imperfect CSI and SIC

TH Vu, TV Nguyen, TT Nguyen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, we study wireless-powered cognitive nonorthogonal multiple access (NOMA)
Internet of Things (IoT) networks with short-packet communications to improve spectrum …

An efficient deep CNN design for EH short-packet communications in multihop cognitive IoT networks

TV Nguyen, T Huynh-The, VD Nguyen… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we design an efficient deep convolutional neural network (CNN) to improve
and predict the performance of energy harvesting (EH) short-packet communications in multi …

Meta distribution of SIR in dual-hop Internet-of-Things (IoT) networks

H Ibrahim, H Tabassum… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
This paper characterizes the meta distribution of the downlink signal-to-interference ratio
(SIR) attained at a typical Internet-of-Things (IoT) device in a dual-hop IoT network. The IoT …

Interference suppression and energy efficiency improvement with massive MIMO and relay selection in cognitive two-way relay networks

S Silva, M Ardakani… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We analyze a relay assisted wireless communication link between two underlay massive
multiple-input multiple-output (MIMO) terminals. Specifically, an amplify and forwarding (AF) …

Ergodic capacity performance of NOMA-SWIPT aided iot relay systems with direct link

A Rauniyar, P Engelstad… - 2020 18th International …, 2020 - ieeexplore.ieee.org
For the delay-tolerant transmission mode, ergodic capacity (EC) is an appropriate measure
for the performance analysis of the system. In this paper, we investigate the EC and ergodic …

[PDF][PDF] An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks

DB da Costa, RQ Hu, B An - academia.edu
In this paper, we design an efficient deep convolutional neural network (CNN) to improve
and predict the performance of energy harvesting (EH) short-packet communications in multi …