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An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks
Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …
areas of artificial intelligence: pattern recognition, robotics, object segmentation …
An overview of cognitive radio technology and its applications in civil aviation
R Zheng, X Li, Y Chen - Sensors, 2023 - mdpi.com
This paper provides an overview of cognitive radio technology and its applications in the
field of civil aviation. Cognitive radio technology is a relatively new and emerging field that …
field of civil aviation. Cognitive radio technology is a relatively new and emerging field that …
Stochastic geometry study on device-to-device communication as a disaster relief solution
With the unprecedented new capabilities introduced by modern broadband wireless
networks, public safety (PS) agencies are increasingly depending on such networks for their …
networks, public safety (PS) agencies are increasingly depending on such networks for their …
Digital spectrum twins for enhanced spectrum sharing and other radio applications
This paper outlines the components of a digital spectrum twin (DST) and potential
application maps that can inform automated or enhanced spectrum management decisions …
application maps that can inform automated or enhanced spectrum management decisions …
Location privacy in cognitive radio networks: A survey
Cognitive radio networks (CRNs) have emerged as an essential technology to enable
dynamic and opportunistic spectrum access which aims to exploit underutilized licensed …
dynamic and opportunistic spectrum access which aims to exploit underutilized licensed …
Path loss study for millimeter wave device-to-device communications in urban environment
In the recent years the millimeter wave spectrum is being explored as a prospective band for
the next generation (5G) cellular communications. In this paper we study the propagation of …
the next generation (5G) cellular communications. In this paper we study the propagation of …
Blind wireless network topology inference
This work proposes a framework to discover the topology of a non-collaborative packet-
based wireless network using radio-frequency (RF) sensors. The methodology developed is …
based wireless network using radio-frequency (RF) sensors. The methodology developed is …
Statistical spectrum occupancy prediction for dynamic spectrum access: a classification
Spectrum scarcity due to inefficient utilisation has ignited a plethora of dynamic spectrum
access solutions to accommodate the expanding demand for future wireless networks …
access solutions to accommodate the expanding demand for future wireless networks …
Multiple radio transmitter localization via UAV-based map**
The widespread use of unmanned aerial vehicles (UAVs) has opened a novel perspective
on spectrum awareness and localization because of their ability to overcome spatial limits …
on spectrum awareness and localization because of their ability to overcome spatial limits …
Cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network
PS Yawada, AJ Wei - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
Cognitive radio is an innovative technology which seeks to provide a new way to extend
utilization of available spectrum. The spectrum detection is an essential problem for …
utilization of available spectrum. The spectrum detection is an essential problem for …