Coding techniques for backscatter communications—A contemporary survey

F Rezaei, D Galappaththige… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Backscatter communication (BackCom) networks enable passive/battery-free Internet-of-
Thing devices, providing reliable, massive connectivity while ensuring self-sustainability, low …

A comprehensive survey on full-duplex communication: Current solutions, future trends, and open issues

M Mohammadi, Z Mobini… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Full-duplex (FD) communication is a potential game changer for future wireless networks. It
allows for simultaneous transmit and receive operations over the same frequency band, a …

Deep learning for spectrum sensing

J Gao, X Yi, C Zhong, X Chen… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
In cognitive radio systems, the ability to accurately detect primary user's signal is essential to
secondary user in order to utilize idle licensed spectrum. Conventional energy detector is a …

RF impairments in wireless transceivers: Phase noise, CFO, and IQ imbalance–A survey

A Mohammadian, C Tellambura - IEEE access, 2021 - ieeexplore.ieee.org
Wireless transceivers for mass-market applications must be cost effective. We may achieve
this goal by deploying non-ideal low-cost radio frequency (RF) analog components …

Link budget analysis for backscatter-based passive IoT

DAL Galappaththige, F Rezaei, C Tellambura… - IEEE …, 2022 - ieeexplore.ieee.org
Massive connectivity of billions of communicating devices for fifth-generation (5G) and
beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost …

Energy-harvesting-aided spectrum sensing and data transmission in heterogeneous cognitive radio sensor network

D Zhang, Z Chen, J Ren, N Zhang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
The incorporation of cognitive radio (CR) and energy harvesting (EH) capabilities in wireless
sensor networks enables spectrum and energy-efficient heterogeneous CR sensor networks …

Large-scale wireless-powered networks with backscatter communications—A comprehensive survey

F Rezaei, C Tellambura… - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Massive and ubiquitous deployment of devices in networks of fifth generation (5G) and
beyond wireless has necessitated the development of ultra-low-power wireless …

Deep learning classification of 3.5-GHz band spectrograms with applications to spectrum sensing

WM Lees, A Wunderlich, PJ Jeavons… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In the United States, the Federal Communications Commission has adopted rules permitting
commercial wireless networks to share spectrum with federal incumbents in the 3.5-GHz …

Hybrid matched filter detection spectrum sensing

A Brito, P Sebastião, FJ Velez - IEEE Access, 2021 - ieeexplore.ieee.org
The radio frequency spectrum is getting more congested day by day due to the growth of
wireless devices, applications, and the arrival of fifth generation (5G) mobile …

An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks

F Obite, AD Usman, E Okafor - Digital Signal Processing, 2021 - Elsevier
Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …