Selecting the sensing method in cognitive radio and future networks: A QoS-aware fuzzy scheme

N Giweli, S Shahrestani… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Scarcity of the radio frequency spectrum available for use by the vast number of wireless
devices is already a challenge faced by ubiquitous communication networks, including the …

Joint cooperative spectrum sensing and resource scheduling for cognitive radio networks with soft sensing information

G Ding, Q Wu, J Wang, X Zhang - 2010 IEEE Youth Conference …, 2010 - ieeexplore.ieee.org
In this paper, a joint cooperative spectrum sensing (CSS) and resource scheduling scheme
for cognitive radio networks (CRN) is investigated. The soft sensing information instead of 1 …

Performance analysis and optimization schemes for cooperative spectrum sensing and information fusion for cognitive radio: a survey

C Bhatnagar, A Potnis, P Dwivedy… - 2017 1st International …, 2017 - ieeexplore.ieee.org
Accurate spectrum sensing plays a decisive role in determining the performance of any
cognitive radio network (CRN). Spectrum sensing enables the unlicensed secondary users …

Cooperative spectrum sensing algorithm based on date fusion under bandwidth constraints

B Li, Z Qi - 2009 Fifth International Conference on Natural …, 2009 - ieeexplore.ieee.org
Cooperative spectrum sensing enables a Cognitive Radio (CR) networks to reliably detect
primary users and avoid causing interference to primary user's communications, and data …

Optimization for cooperative spectrum sensing in cognitive radio networks

S Xia, L Zhang - 2009 Third International Symposium on …, 2009 - ieeexplore.ieee.org
In cognitive radio systems, secondary users can be coordinated to perform cooperative
spectrum sensing to overcome the hidden terminal problem. However, when the number of …

Adaptive spectrum selection for cognitive radio networks

X Yang, Z Yang, D Liao - 2008 International Conference on …, 2008 - ieeexplore.ieee.org
While essentially all the frequency is allocated to different wireless applications,
observations provide evidence that usage of the spectrum is actually quite limited …

Deep reinforcement learning-based spectrum allocation algorithm in Internet of vehicles discriminating services

Z Guan, Y Wang, M He - Applied Sciences, 2022 - mdpi.com
With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …

Towards a large-scale cognitive radio network: Testbed, intensive computing, frequency agility and security

Z Chen, C Zhang, F Lin, J Yu, X Li… - 2012 International …, 2012 - ieeexplore.ieee.org
Cognitive radio (CR) is a promising technique for improving the efficiency of utilizing the
precious radio spectrum. A cognitive radio network (CRN) testbed not only can verify …

Multi-agent reinforcement learning for spectrum sharing in vehicular networks

L Liang, H Ye, GY Li - 2019 IEEE 20th International Workshop …, 2019 - ieeexplore.ieee.org
This paper investigates the spectrum sharing problem in vehicular networks, where multiple
vehicle-to-vehicle (V2V) links reuse the frequency spectrum preoccupied by vehicle-to …

Accurate knowledge of radio channel and network conditions—When does it matter?

N An, J Mittag, F Schmidt-Eisenlohr… - … on Wireless On …, 2011 - ieeexplore.ieee.org
One of the main motivations of wireless communication between vehicles is to establish a
mutual awareness among vehicles. Such awareness is achieved through the periodic …