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Prediction based cognitive spectrum access
2012
2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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A prediction-based spectrum access for cognitive radio (CR) is considered. ...
The prediction based policies show a significant improvement in the performance measures of throughput and delay compared to the reactive behavior. ...
The prediction based cognitive spectrum access provides a solution to these problems. ...
doi:10.1109/wowmom.2012.6263763
dblp:conf/wowmom/OklanderS12
fatcat:zeavme3afncmnmoql3ocz774ry
Spectrum prediction in cognitive radio networks
2013
IEEE wireless communications
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Spectrum sensing is utilized to identify primary users' spectrum occupancy status, based on which CR users can dynamically access the available channels through the regulation processes of spectrum decision ...
Spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility are four major functions of cognitive radio (CR) systems. ...
NECESSITY OF PREDICTION IN COGNITIVE RADIO NETWORKS Cognitive radio is a technology that enables secondary users to discover and access the spectrum holes in the licensed bands. ...
doi:10.1109/mwc.2013.6507399
fatcat:kjxsfxhqdvfupj2gx4r22xidam
Predictive and Recommendatory Spectrum Decision for Cognitive Radio
[article]
2017
arXiv
pre-print
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spectrum bands based on secondary user's previous experiences of accessing the available spectrum bands. ...
As a benchmark, a method based on extreme learning machine (ELM) for single-user spectrum prediction and a method based on Q-learning for multiple-user spectrum prediction are proposed. ...
With intelligence and cognitive abilities, cognitive radio is able to find out spectrum holes and make use of the spectrum holes through spectrum sensing and dynamic spectrum access technologies. ...
arXiv:1703.03102v1
fatcat:35ikvqyqizfxtcbwsud3pn57gy
Machine Learning Based Energy-Spectrum Two-Dimensional Cognition in Energy Harvesting CRNs
2020
IEEE Access
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The proposed ML-based 2D cognition is evaluated via extensive simulations in terms of sensing accuracy, prediction accuracy, and network throughput, and simulation results indicate that our proposed scheme ...
In this paper, we propose a novel machine learning (ML)-based energy-spectrum two-dimensional (2D) cognition technology to improve the sensing accuracy as well as the network throughput in EH-CRNs, which ...
Citation information: DOI 10.1109/ACCESS.2020.3019310, IEEE Access Yongjian Fan et al.: Machine Learning Based Energy-Spectrum Two-Dimensional Cognition in Energy Harvesting CRNs 1) 2D PREDICTION ALGORITHM ...
doi:10.1109/access.2020.3019310
fatcat:uv36afepgvfqfb5yo34i4or7iq
A Survey on Cognitive Radio Network using Artificial Neural Network
2017
International Journal of Future Generation Communication and Networking
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To deal with this critical issue we use machine learning techniques, which predict spectrum holes in an available frequency band. ...
The solution of all these issues is Cognitive Radio. The fundamental theory of cognitive radio deals with the issues mentioned above and provides efficient utilization of available spectrum. ...
Asif Khan1,
Ranjan Gangopadhyay
and Soumitra Debnat
Learning
Based
Primary User Activity
Prediction in Cognitive
Radio Networks for
Efficient
Dynamic
Spectrum Access
2016 IEEE
To provide ...
doi:10.14257/ijfgcn.2017.10.11.02
fatcat:v6eupumnnrgnnojpsxnu4w3hiq
Comparative Analysis of ANN Techniques for Predicting Channel Frequencies in Cognitive Radio
2017
International Journal of Advanced Computer Science and Applications
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Demand of larger bandwidth increases the spectrum scarcity problem. By using the concepts of Cognitive radio we can achieve an efficient spectrum utilization. ...
It is based on certain factors (such as Power, Bandwidth, antenna parameters, etc.). ...
In the third step the access policy decides, based on the output of the spectrum senses, whether to access the spectrum or not and which SUs get the access. ...
doi:10.14569/ijacsa.2017.081238
fatcat:pspifbunuzhmjgv3qgs6ns7xne
Probability Density Function Estimation in OFDM Transmitter and Receiver in Radio Cognitive Networks based on Recurrent Neural Network
[article]
2018
arXiv
pre-print
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In this article, spectrum opportunities prediction based on Recurrent Neural Network for bandwidth optimization and reducing the amount of energy by predicting spectrum holes discovery for quality of services ...
optimization proposed in OFDM-based cognitive radio network based on probability density function. ...
Spectrum sensors detect primary user signals by channel sensing. Spectrum sensors report channel information of OFDM-based cognitive radio network that try to decide channel access. ...
arXiv:1807.07009v1
fatcat:i7f5hmqwlvcx3ipturq26qge54
Intelligent Radio: When Artificial Intelligence Meets the Radio Network
2020
IEEE wireless communications
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It then addresses two classical problems (i.e., spectrum sensing and spectrum access) in cognitive radio. The generative ...
These articles cover topics on spectrum access, mobile edge computing, radio network modeling, mobility prediction, and new wireless applications. ...
In the article
Tao Chen Hsiao-Hwa Chen Zheng Chang Shiwen Mao "Machine-Learning-Based Opportunistic Spectrum Access in Cognitive Radio Networks," Zhu et al. propose a machinelearning-based OSA framework ...
doi:10.1109/mwc.2020.9023916
fatcat:5o2yvxnb3zhy5hd6af7g7kb3ly
Predicting Spectral Opportunities in Cognitive Radio Network based on Neuro-Fuzzy for Bandwidth Optimization
2020
Acta Universitatis Danubius: Communicatio
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In this article, spectrum opportunities prediction based on neuro-fuzzy network for bandwidth optimization and reducing the amount of energy by predicting spectrum holes discovery for quality of services ...
Deploying dynamic spectrum access techniques is one of the procedures provided for efficient use of bandwidth. ...
In this article, an analytically framework for random access to developed spectrum that is based on Markov Chains Decision Making. ...
doaj:6ce669c4b3e14e439560af1d3359cb3d
fatcat:v23baqibw5fdvfjaptljxcgz4u
Spectrum_Allocation_policy_for_Opportunistic_Radio (1).pdf
2022
figshare.com
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A new spectrum allocation scheme Predictive Pre-emptive priority PPP is proposed in which spectrum decision is based on the available spectrum characteristics and on the QoS requirement of the secondary ...
Spectrum sensing and Spectrum allocation plays an important role in cognitive radio communication. ...
The channel selection is based on Predictive Pre-emptive Priority based spectrum allocation scheme for optimized channel allocation. ...
doi:10.6084/m9.figshare.19820455.v1
fatcat:yw4hf2regndtvonzdni7tlczsu
Cognitive Medium Access in WLAN Bands: A Real-Time Testbed
2007
Asilomar Conference on Signals, Systems and Computers. Conference Record
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In this paper we present the Cognitive Medium Access Prototype (CMAP), an experimental test bed for dyanamic spectrum access in WLAN bands. ...
The spectrum sensor, the medium access control, and the cognitive transmitter are discussed in detail. ...
Cognitive radio and dynamic spectrum access are emerging research areas that improve spectrum utilization by dynamically accessing spectrum. ...
doi:10.1109/acssc.2007.4487599
fatcat:6p6z6rbs7bftllkbsejgsb5ps4
Cognitive Radios: A Survey of Methods for Channel State Prediction
[article]
2013
arXiv
pre-print
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This paper discusses the need for Cognitive Radio ability in view of the physical scarcity of wireless spectrum for communication. ...
A background of the Cognitive Radio technology is presented and the aspect of 'channel state prediction' is focused upon. ...
The spectrum access is then organised by the users in the network. Cognitive radio, inclusive of the software-defined radio, was proposed by Joseph Mitola et al. ...
arXiv:1311.2869v1
fatcat:f55fjps7tvcgnny34xxvszupjm
A Survey on Dynamic Spectrum Access Techniques in Cognitive Radio Networks
2013
International Journal of Communication Networks and Information Security
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Dynamic Spectrum Access (DSA) is a new spectrum sharing paradigm in cognitive radio that allows secondary users to access the abundant spectrum holes in the licensed spectrum bands. ...
While DSA has attracted many research efforts recently, in this paper, a survey of spectrum access techniques using cooperation and competition to solve the problem of spectrum allocation in cognitive ...
The authors propose a simple algorithm, called the Markov-based channel prediction algorithm (MCPA), for dynamic spectrum allocation in cognitive radio networks. ...
dblp:journals/ijcnis/BenmammarAK13
fatcat:bjeduqtkwra5nn3vb5mfdoa3ku
Towards Faster Spectrum Sensing Techniques in Cognitive Radio Architectures
2015
Procedia Computer Science
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Especially, we attempt to reduce the time taken for spectrum sensing based on adaptive FFT approach employing statistical analysis. ...
But in practice, given the complexity of proposed spectrum sensing techniques, the implementation of cognitive radio has become a tedious task. ...
SS techniques can be broadly classified into two approaches: data base centric approach and dynamic spectrum access approach. ...
doi:10.1016/j.procs.2015.01.028
fatcat:47hxu3lqlvhdrmajeqmti7fk3m
Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio
2015
Electronics
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Using this dataset, we present and test a series of predictive algorithms that show an improvement in wireless channel utilization over traditional collision-detection algorithms. ...
To date, the application of information other than wireless channel data in cognitive radios has not been significantly studied. ...
Prior research has explored cognitive radio aspects, such as spectrum access, truthful spectrum auctions [1] [2] [3] [4] and dynamic spectrum rental. ...
doi:10.3390/electronics4020221
fatcat:3kpg6pplhjekpbv5xtf7zkpmx4
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