Deep reinforcement learning for dynamic spectrum sensing and aggregation in multi-channel wireless networks

Y Li, W Zhang, CX Wang, J Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, the problem of dynamic spectrum sensing and aggregation is investigated in a
wireless network containing N correlated channels, where these channels are occupied or …

SACRP: A spectrum aggregation-based cooperative routing protocol for cognitive radio ad-hoc networks

S Ping, A Aijaz, O Holland… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Cooperative routing and spectrum aggregation are two promising techniques for Cognitive
Radio Ad-Hoc Networks (CRAHNs). In this paper, we propose a spectrum aggregation …

Channel aggregation in cognitive radio networks with practical considerations

B Gao, Y Yang, JM Park - 2011 IEEE International Conference …, 2011 - ieeexplore.ieee.org
In cognitive radio (CR) networks, spectrum resource that can be shared by secondary users
(SUs) is always restricted by primary users (PUs). Although channel aggregation (CA) …

Learning-aided sub-band selection algorithms for spectrum sensing in wide-band cognitive radios

Y Li, SK Jayaweera, M Bkassiny… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
We propose wide-band spectrum sensing scheduling solutions for cognitive radios that are
equipped with reconfigurable RF front-ends. The wide frequency spectrum of interest is …

Channel characteristic aware spectrum aggregation algorithm in cognitive radio networks

J Lin, L Shen, N Bao, B Su, Z Deng… - 2011 IEEE 36th …, 2011 - ieeexplore.ieee.org
In Cognitive Radio (CR) networks, it is common that the spectrum holes are too narrow to
support high-speed communications. Discontinuous Orthogonal Frequency Division …

[PDF][PDF] Deep recurrent neural network for multiple time slot frequency spectrum predictions of cognitive radio

Z Tang, S Li - KSII Transactions on Internet and Information …, 2017 - koreascience.kr
The main processes of a cognitive radio system include spectrum sensing, spectrum
decision, spectrum sharing, and spectrum conversion. Experimental results show that these …

[HTML][HTML] SACRB-MAC: A high-capacity MAC protocol for cognitive radio sensor networks in smart grid

Z Yang, Z Shi, C Jin - Sensors, 2016 - mdpi.com
The Cognitive Radio Sensor Network (CRSN) is considered as a viable solution to enhance
various aspects of the electric power grid and to realize a smart grid. However, several …

[HTML][HTML] Cognitive radio frequency assignment with interference weighting and categorization

Z Tabakovic, M Grgic - EURASIP journal on wireless communications and …, 2016 - Springer
Cognitive radio is one of the technologies promoting flexible and efficient use of radio
frequency spectrum, thus solving spectrum scarcity problem. Frequency assignment is an …

Cross-layer optimization for spectrum aggregation-based cognitive radio ad-hoc networks

J Chen, S Ping, J Jia, Y Deng, M Dohler… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
Spectrum aggregation provides a promising approach to improve the network capacity for
Cognitive Radio Ad-Hoc Networks (CRAHNs). Resource allocation for spectrum …

Spectrum aggregation based spectrum allocation for cognitive radio networks

C Li, W Liu, Q Liu, C Li - 2014 IEEE Wireless Communications …, 2014 - ieeexplore.ieee.org
In cognitive radio networks, the available spectrum holes are usually discontinuous. Hence,
it is hard to exploit these spectrum holes because the bandwidth of an individual one may …