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Prediction based cognitive spectrum access

Boris Oklander, Moshe Sidi
2012 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)  
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

Xiaoshuang Xing, Tao Jing, Wei Cheng, Yan Huo, Xiuzhen Cheng
2013 IEEE wireless communications  
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]

Xinran Chen, Zhe Chen, Sai Xie, Yongshuai Shao
2017 arXiv   pre-print
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

Yongjian Fan, Wenjun Xu, Chia-han Lee, Silei Wu, Fan Yang, Ping Zhang
2020 IEEE Access  
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

Adnan Waqar, Saima Khadim, Aamir Zeb, Samreen Amir, Imran Khan
2017 International Journal of Future Generation Communication and Networking  
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

Imran Khan, Shaukat Wasi, Adnan Waqar, Saima Khadim
2017 International Journal of Advanced Computer Science and Applications  
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]

Mahdi Mir
2018 arXiv   pre-print
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

Tao Chen, Hsiao-Hwa Chen, Zheng Chang, Shiwen Mao
2020 IEEE wireless communications  
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

Nima Aberomand
2020 Acta Universitatis Danubius: Communicatio  
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

ganesh E N
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

Stefan Geirhofer, John Z. Sun, Lang Tong, Brian M. Sadler
2007 Asilomar Conference on Signals, Systems and Computers. Conference Record  
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]

Ashish Kumar, Lakshay Narula, S. P. Singh
2013 arXiv   pre-print
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

Badr Benmammar, Asma Amraoui, Francine Krief
2013 International Journal of Communication Networks and Information Security  
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

Srikanth Munjuluri, Rama Murthy Garimella
2015 Procedia Computer Science  
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

Khashayar Kotobi, Philip Mainwaring, Conrad Tucker, Sven Bilén
2015 Electronics  
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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