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Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System

Md Amin, Md Rahman, Mohammad Hossain, Md Islam, Kazi Ahmed, Bikash Miah
2018 Big Data and Cognitive Computing  
In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system—in this proposed scheme  ...  Simulation results show that the proposed scheme achieved better detection gain than the conventional schemes like an equal gain combining (EGC) based soft fusion rule and a Kalman filter (KL) based soft  ...  Figure 4 . 4 The proposed unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) in a cognitive radio network (CRN) using an adaptive fuzzy system.  ... 
doi:10.3390/bdcc2040039 fatcat:2jm4h4n72vbl3mcx7eddvu32k4

Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks

Olusegun Peter Awe, Daniel Adebowale Babatunde, Sangarapillai Lambotharan, Basil AsSadhan
2021 Wireless networks  
AbstractWe address the problem of spectrum sensing in decentralized cognitive radio networks using a parametric machine learning method.  ...  second order Kalman filter tracker for estimating the slowly varying channel gain between the primary user (PU) transmitter and the mobile SUs.  ...  The authors extend their appreciation to the Engineering and Physical Sciences Research Council for the support of this work through grant EP/R006385/1 and the International Scientific Partnership Program  ... 
doi:10.1007/s11276-021-02627-w fatcat:pydnjnuu7rbqblrs7mvxhbu2fq

Statistical spectrum occupancy prediction for dynamic spectrum access: a classification

Hamid Eltom, Sithamparanathan Kandeepan, Robin J. Evans, Ying Chang Liang, Branko Ristic
2018 EURASIP Journal on Wireless Communications and Networking  
This statistical background is used to analyse current techniques for spectrum occupancy prediction. This review also extends spectrum occupancy prediction to include cooperative prediction.  ...  Spectrum scarcity due to inefficient utilisation has ignited a plethora of dynamic spectrum access solutions to accommodate the expanding demand for future wireless networks.  ...  Akram Al-Hourani for Melbourne spectrum measurement campaign data.  ... 
doi:10.1186/s13638-017-1019-8 fatcat:lxdlw3lvtnfe3brsqrs5e4prem

Different Spectrum Sensing Technique in Cognitive Radio Environment

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The cognitive radio has spectrum sensing (SS) problem in opportunistic spectrum access process.  ...  Thus; this paper providing the comprehensive survey with the brief explanation of cognitive radio along with SS methods to reduce the issues appear in CR.  ...  COGNITIVE RADIOS CR has the capability to change the parameter to work in real time mode to adjust the nonstable radio environment. A.  ... 
doi:10.35940/ijitee.h6282.069820 fatcat:puhkkmff5ffklot5d7vfxi2hze

2010 Index IEEE Transactions on Signal Processing Vol. 58

2010 IEEE Transactions on Signal Processing  
., +, TSP Jan. 2010 38-52 Sequential and Cooperative Sensing for Multi-Channel Cognitive Radios. Kim, S.-J., +, TSP Aug. 2010 4239-4253 Spectrum Sensing in Wideband OFDM Cognitive Radios. Hwang, C.  ...  H., +, TSP Jan. 2010 97-107 Spectrum Sensing in Wideband OFDM Cognitive Radios. Hwang, C.  ...  Global Positioning System A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation.  ... 
doi:10.1109/tsp.2010.2092533 fatcat:4y66ezuo7zf6doe6nwjqwtc42i

2013 Index IEEE Signal Processing Letters Vol. 20

2013 IEEE Signal Processing Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  ., +, LSP May 2013 479-482 Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks.  ... 
doi:10.1109/lsp.2013.2291126 fatcat:pe3e4vel6bhjze7qeapf7eml5e

A Hidden Markov Model based scheme for efficient and fast dissemination of safety messages in VANETs

Imane Horiya Brahmi, Soufiene Djahel, Yacine Ghamri-Doudane
2012 2012 IEEE Global Communications Conference (GLOBECOM)  
To this end, the Cognitive Radio (CR) principle has been applied to assist the vehicles to gain extra bandwidth through an opportunistic use of the unused spectrums in their surrounding.  ...  This improvement is due to the use of a Hidden Markov Model that enables the prediction of the available channels for the subsequent time slots, leading to faster channel allocation for the vehicles.  ...  This scheme uses Kalman Filter to predict the channel state for the subsequent time slot in order to accelerate its allocation to the requesting vehicles, thus the dissemination delay of emergency messages  ... 
doi:10.1109/glocom.2012.6503109 dblp:conf/globecom/BrahmiDG12 fatcat:zwbf74e7pvcnxi26kpvnta6sj4

Large-scale cognitive cellular systems: resource management overview

Mohsen Guizani, Bassem Khalfi, Mahdi Ben Ghorbel, Bechir Hamdaoui
2015 IEEE Communications Magazine  
This is the core idea of Cognitive Radio (CR) which has emerged as a potential candidate for enabling Dynamic Spectrum Access (DSA) [1].  ...  This was supported by a common belief that the spectrum has become overcrowded or even running out of space.  ...  In [14] , Extended Kalman Filtering (EKF), which is a derivative of the Kalman filtering adapted to non-linear scenarios, have been applied for the tracking of the transmission power and the channel variations  ... 
doi:10.1109/mcom.2015.7105640 fatcat:3cvgmbrhdrhphhkpxdyz2uqkqi

Differentiated Statistical QoS Guarantees for Real-Time CBR Services in Broadband Wireless Access Networks

Hong Zhou, Zhongwei Zhang
2010 2010 International Conference on Computational Intelligence and Software Engineering  
Hole Distribution for Cognitive Radio Systems Zhigang Wen 31641 Reference level Optimization for AGC In OFDM system Liye Zhao 31661 GLRT based Active Spectrum Sensing for Cognitive Radio Systems  ...  30888 A Method of Signaling Precoder Information for Dynamical Spectrum Shaping Guolin Sun Huawei Tech., China 31660 Cooperative Proactive Spectrum Sensing for Cognitive Radio Networks Mostafa  ... 
doi:10.1109/wicom.2010.5601439 fatcat:kaereulmjzhbdpknj727a4vuri

2013 Index

2014 IEEE Wireless Communications Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  Hwang, Duckdong, +, LWC October 2013 531-534 Cognitive radio Adaptive Spectrum Sensing for Time-Varying Channels in Cognitive Radios.  ... 
doi:10.1109/twc.2011.09.097-wcl1402-index fatcat:uvzn7diievgtzaevj7eosb4zom

Cognitive radio: brain-empowered wireless communications

S. Haykin
2005 IEEE Journal on Selected Areas in Communications  
Cognitive radio is viewed as a novel approach for improving the utilization of a precious natural resource: the radio electromagnetic spectrum.  ...  feedback, spectrum analysis, spectrum holes, spectrum management, stochastic games, transmit-power control, water filling. 4 The idea of a cognitive cycle for cognitive radio was first described by Mitola  ...  ACKNOWLEDGMENT First and foremost, the author expresses his gratitude to the Natural Sciences and Engineering Research Council (NSERC) of Canada for supporting this work on cognitive radio.  ... 
doi:10.1109/jsac.2004.839380 fatcat:vfapoum4ifd5flp7xomcmpz3sm

A Joint Tensor Completion and Prediction Scheme for Multi-Dimensional Spectrum Map Construction

Mengyun Tang, Guoru Ding, Qihui Wu, Zhen Xue, Theodoros A. Tsiftsis
2016 IEEE Access  
INDEX TERMS Spectrum tensor, tensor completion, tensor prediction, cognitive radio. 8044 2169-3536  ...  In practice, a portion of spectrum data entries may be unavailable due to the interference during the acquisition process or compression during the sensing process.  ...  ACKNOWLEDGMENT The authors would like to thank the Editor and Reviewers for their precious time and efforts in reviewing our paper. They also thank Prof. Xiaofei Zhang for his helpful discussions.  ... 
doi:10.1109/access.2016.2627243 fatcat:v56drvtamvghfkumnqoz4smdzu

Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications

Guoru Ding, Yutao Jiao, Jinlong Wang, Yulong Zou, Qihui Wu, Yu-Dong Yao, Lajos Hanzo
2018 IEEE Communications Surveys and Tutorials  
In the past few years, spectrum inference has gained increasing attention owing to its wide applications in cognitive radio networks (CRNs), ranging from adaptive spectrum sensing, and predictive spectrum  ...  By introducing the taxonomy of spectrum inference from a time-frequency-space perspective, we offer an in-depth tutorial on the existing algorithms.  ...  Guangming Nie in collecting and formatting parts of the references.  ... 
doi:10.1109/comst.2017.2751058 fatcat:lv5z5bq4dneutpnctifj4v2tny

2013 Index

2014 IEEE Transactions on Wireless Communications  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2013, and items from previous years that were commented upon or corrected in 2013.  ...  F-Test Based Approach for Spectrum Sensing in Cognitive Radio.  ... 
doi:10.1109/twc.2011.09.499-tw1401-index fatcat:w5ya5mg3sbcodb2crtuaoyk3su

Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering

Seung-Jun Kim, Emiliano Dall'Anese, Georgios B. Giannakis
2011 IEEE Journal on Selected Topics in Signal Processing  
They are updated in real-time using Kriged Kalman filtering (KKF), a tool with well-appreciated merits in geostatistics.  ...  A cooperative cognitive radio (CR) sensing problem is considered, where a number of CRs collaboratively detect the presence of primary users (PUs) by exploiting the novel notion of channel gain (CG) maps  ...  Kriged Kalman filtering (KKF) [13] (a.k.a. space-time Kalman filtering [14] ) is a tool with well-appreciated merits in geostatistics and environmental science.  ... 
doi:10.1109/jstsp.2010.2053016 fatcat:ukommffybjbejnlbsuwoj6rcmu
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