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ISSN (Online): 2666-2566

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Systematic Review Article

Cooperative Spectrum Sensing in Cognitive Radio Networks: A Systematic Review

Author(s): Sharad Jain, Ashwani Kumar Yadav, Raj Kumar and Vaishali Yadav*

Volume 16, Issue 4, 2023

Published on: 07 November, 2022

Article ID: e051022209596 Pages: 31

DOI: 10.2174/2666255816666221005095538

Price: $65

Abstract

Background: Spectrum is the backbone for wireless communications, including internet services. Nowadays, the business of industries providing wired communication is constant while the business of industries dealing with wireless communications is growing very fast. There is a large demand for radio spectrum for new wireless multimedia services. Although the present fixed spectrum allotment schemes do not cause any interference between users, but this fixed scheme of spectrum allocation does not allow accommodating the spectrum required for new wireless services. Cognitive radio (CR) relies on spectrum sensing to discover available frequency bands so that the spectrum can be used to its full potential, thus avoiding interference to the primary users (PU).

Objective: The purpose of this work is to present an in-depth overview of traditional as well as advanced artificial intelligence and machine learning-based cooperative spectrum sensing (CSS) in cognitive radio networks.

Methods: Using the principles of artificial intelligence (AI), systems are able to solve issues by mimicking the function of human brains. Moreover, since its inception, machine learning has demonstrated that it is capable of solving a wide range of computational issues. Recent advancements in artificial intelligence techniques and machine learning (ML) have made it an emergent technology in spectrum sensing.

Results: The result shows that more than 80% of papers are on traditional spectrum sensing, while less than 20% deals with artificial intelligence and machine learning approaches. More than 75% of papers address the limitation of local spectrum sensing. The study presents the various methods implemented in spectrum sensing along with their merits and challenges.

Conclusion: Spectrum sensing techniques are hampered by various issues, including fading, shadowing, and receiver unpredictability. Challenges, benefits, drawbacks, and scope of cooperative sensing are examined and summarized. With this survey article, academics may clearly know the numerous conventional artificial intelligence and machine learning methodologies used and can connect sharp audiences to contemporary research done in cognitive radio networks, which is now underway.

Keywords: Cognitive radio, Spectrum sensing, Machine learning, Cooperative spectrum sensing, Artificial intelligence, Systematic review, Energy detection, Wireless communication, Cyclostationary detection, Sensing methods

Graphical Abstract

[1]
N. Kaabouch, Handbook of research on software-defined and cognitive radio technologies for dynamic spectrum management., IGI global, 2014.
[2]
U. Cisco, "Cisco annual internet report (2018–2023) white paper", Available from: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/whitepaper-c11-741490.html (Accessed on: March 26, 2021).
[3]
Spectrum policy task force,Spectrum policy task force report et docket no. 02-135.US Federal Communications Commission 2002: Spectrum Policy Task Force | Federal Communications Commission., . Available from: fcc.gov
[4]
CiteSeer, "Docket No 03-222 Notice of proposed rule making and order", 2003. CiteSeerX — Citation Query Docket No 03-222 Notice of proposed rule making and order Available from: psu.edu
[5]
D. Cabric, S.M. Mishra, and R.W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios", Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Nov 07-10, 2004, vol. 1, Pacific Grove, CA, USA, pp. 772-776, 2004.
[http://dx.doi.org/10.1109/ACSSC.2004.1399240]
[6]
I.F. Akyildiz, W.Y. Lee, M.C. Vuran, and S. Mohanty, "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey", Comput. Netw., vol. 50, no. 13, pp. 2127-2159, 2006.
[http://dx.doi.org/10.1016/j.comnet.2006.05.001]
[7]
I.F. Akyildiz, W.Y. Lee, and K.R. Chowdhury, "CRAHNs: Cognitive radio ad hoc networks", Ad. Hoc. Netw., vol. 7, no. 5, pp. 810-836, 2009.
[http://dx.doi.org/10.1016/j.adhoc.2009.01.001]
[8]
P. Rawat, K.D. Singh, and J.M. Bonnin, "Cognitive radio for M2M and internet of things: A survey", Comput. Commun., vol. 94, pp. 1-29, 2016.
[http://dx.doi.org/10.1016/j.comcom.2016.07.012]
[9]
J. Mitola, and GQ Maguire, "Cognitive radio: Making software radios more personal", IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, 1999.
[http://dx.doi.org/10.1109/98.788210]
[10]
S. Haykin, "Cognitive radio: Brain-empowered wireless communications", IEEE J. Sel. Areas Comm., vol. 23, no. 2, pp. 201-220, 2005.
[http://dx.doi.org/10.1109/JSAC.2004.839380]
[11]
M. Hasegawa, H. Hirai, K. Nagano, H. Harada, and K. Aihara, "Optimization for centralized and decentralized cognitive radio networks", Proc. IEEE, vol. 102, no. 4, pp. 574-584, 2014.
[http://dx.doi.org/10.1109/JPROC.2014.2306255]
[12]
A. Ghasemi, and E.S. Sousa, "Collaborative spectrum sensing for opportunistic access in fading environments", First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Nov 08-11, 2005, Baltimore, MD, USA, pp. 131-136, 2005.
[http://dx.doi.org/10.1109/DYSPAN.2005.1542627]
[13]
S.M. Mishra, A. Sahai, and R.W. Brodersen, "Cooperative sensing among cognitive radios", 2006 IEEE International Conference on Communications, Jun 11-15, 2006, Istanbul, Turkey, vol. 4. 2006, pp. 1658-1663.
[http://dx.doi.org/10.1109/ICC.2006.254957]
[14]
R. Tandra, and A. Sahai, "SNR walls for signal detection", IEEE J. Sel. Top. Signal Process., vol. 2, no. 1, pp. 4-17, 2008.
[http://dx.doi.org/10.1109/JSTSP.2007.914879]
[15]
I.F. Akyildiz, B.F. Lo, and R. Balakrishnan, "Cooperative spectrum sensing in cognitive radio networks: A survey", Phys. Commun., vol. 4, no. 1, pp. 40-62, 2011.
[http://dx.doi.org/10.1016/j.phycom.2010.12.003]
[16]
E. Visotsky, S. Kuffner, and R. Peterson, "On collaborative detection of TV transmissions in support of dynamic spectrum sharing", First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Nov 08-11, 2005, Baltimore, MD, USA, 2005, pp. 338-45.
[http://dx.doi.org/10.1109/DYSPAN.2005.1542650]
[17]
Z. Li, F.R. Yu, and M. Huang, "A cooperative spectrum sensing consensus scheme in cognitive radios", In: IEEE infocom 2009. Apr 19-25, 2009, Rio de Janeiro, Brazil, 2009, pp. 2546-2550.
[http://dx.doi.org/10.1109/INFCOM.2009.5062184]
[18]
G. Ganesan, and Li. Ye, "Cooperative spectrum sensing in cognitive radio, part II: Multiuser networks", IEEE Trans. Wirel. Commun., vol. 6, no. 6, pp. 2214-2222, 2007.
[http://dx.doi.org/10.1109/TWC.2007.05776]
[19]
W. Zhang, and K. Letaief, "Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks", IEEE Trans. Wirel. Commun., vol. 7, no. 12, pp. 4761-4766, 2008.
[http://dx.doi.org/10.1109/T-WC.2008.060857]
[20]
K.R. Chowdhury, and I.F. Akyildiz, "CRP: A routing protocol for cognitive radio ad hoc networks", IEEE J. Sel. Areas Comm., vol. 29, no. 4, pp. 794-804, 2011.
[http://dx.doi.org/10.1109/JSAC.2011.110411]
[21]
P.K. Varshney, Distributed Detection and Data Fusion., Springer Science & Business Media: New York, 2012.
[22]
W. Saad, Z. Han, M. Debbah, A. Hjorungnes, and T. Basar, "Coalitional games for distributed collaborative spectrum sensing incognitive radio networks", In: IEEE INFOCOM 2009. Apr 19-25, 2009, Rio de Janeiro, Brazil, pp. 2114-2122.
[23]
B. Wang, KR. Liu, and TC. Clancy, "Evolutionary cooperative spectrum sensing game: How to collaborate?", IEEE Transactions Oncommunications, vol. 58, no. 3, pp. 890-900, 2010.
[http://dx.doi.org/10.1109/TCOMM.2010.03.090084]
[24]
J. Zhang, and Q. Zhang, "Stackelberg game for utility-based cooperative cognitiveradio networks", Proceedings of the Tenth ACM International Symposium on Mobile ad Hoc Networking and Computing, May 18, 2005, New York, NY, United States, pp. 23-32, 2005.
[http://dx.doi.org/10.1145/1530748.1530753]
[25]
K. Ben Letaief, and Wei Zhang, "Cooperative communications for cognitive radio networks", Proc. IEEE, vol. 97, no. 5, pp. 878-893, 2009.
[http://dx.doi.org/10.1109/JPROC.2009.2015716]
[26]
Jun Ma, G.Y. Li, and B.H. Juang, "Signal processing in cognitive radio", Proc. IEEE, vol. 97, no. 5, pp. 805-823, 2009.
[http://dx.doi.org/10.1109/JPROC.2009.2015707]
[27]
T. Yucek, and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications", IEEE Commun. Surv. Tutor., vol. 11, no. 1, pp. 116-130, 2009.
[http://dx.doi.org/10.1109/SURV.2009.090109]
[28]
A. Ranjan, and B. Singh, "Design and analysis of spectrum sensing in cognitive radio based on energy detection", In: 2016 International Conference on Signal and Information Processing (IConSIP). Oct 06-08, 2016, Nanded, India, 2016, pp. 1-5.
[http://dx.doi.org/10.1109/ICONSIP.2016.7857444]
[29]
L. Ruan, Y. Li, W. Cheng, and Z. Wu, "A robust threshold optimization approach for energy detection based spectrum sensing withnoise uncertainty", In: 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). Jun 15-17, 2015, Auckland, New Zealand, 2015, pp. 161-165.
[http://dx.doi.org/10.1109/ICIEA.2015.7334103]
[30]
M.Z. Alom, T.K. Godder, M.N. Morshed, and A. Maali, "Enhanced spectrum sensing based on Energy detection in cognitive radionetwork using adaptive threshold", In: 2017 International Conference on Networking, Systems and Security (NSysS). Jan 05-08, 2017, Dhaka, Bangladesh, 2017, pp. 138-143.
[http://dx.doi.org/10.1109/NSysS.2017.7885815]
[31]
Y. Arjoune, Z. El Mrabet, H. El Ghazi, and A. Tamtaoui, "Spectrum sensing: Enhanced energy detection technique based on noisemeasurement", In: 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC). Jan 08-10, 2018, Las Vegas, NV, USA, 2018, pp. 828-834.
[32]
Yonghong Zeng, Rui Zhang, and R. Zhang, "Blindly combined energy detection for spectrum sensing in cognitive radio", IEEE Signal Process. Lett., vol. 15, pp. 649-652, 2008.
[http://dx.doi.org/10.1109/LSP.2008.2002711]
[33]
D.R. Joshi, D.C. Popescu, and O.A. Dobre, "Adaptive spectrum sensing with noise variance estimation for dynamic cognitive radiosystems", In: 2010 44th Annual Conference on Information Sciences and Systems (CISS). Mar 17-19, 2010, Princeton, NJ, USA, 2010, pp. 1-5.
[34]
A. Muralidharan, P. Venkateswaran, S. Ajay, D.A. Prakash, M. Arora, and S. Kirthiga, "An adaptive threshold method for energy basedspectrum sensing in cognitive radio networks", In: 2015 International Conference on Control, Instrumentation, Communicationand Computational Technologies (ICCICCT). Dec 18-19, 2015, Kumaracoil, India, 2015, pp. 8-11.
[http://dx.doi.org/10.1109/ICCICCT.2015.7475239]
[35]
M. Sarker, "Energy detector based spectrum sensing by adaptive threshold for low SNR in CR networks", In: 24th Wirelessand Optical Communication Conference (WOCC). Oct 23-24, 2015, Taipei, Taiwan, 2015, pp. 118-122.
[http://dx.doi.org/10.1109/WOCC.2015.7346189]
[36]
J. Wu, T. Luo, and G. Yue, "An energy detection algorithm based on double-threshold in cognitive radio systems", In: First International Conference on Information Science and Engineering. Dec 26-28, 2009, Nanjing, China, 2009, pp. 493-496.
[http://dx.doi.org/10.1109/ICISE.2009.257]
[37]
S. Suwanboriboon, and W. Lee, "A novel two-stage spectrum sensing for cognitive radio system", In: 2013 13th International Symposium on Communications and Information Technologies (ISCIT). Sept 04-06, 2013, Surat Thani, Thailand, 2013, pp. 176-181.
[http://dx.doi.org/10.1109/ISCIT.2013.6645845]
[38]
P.S. Yawada, and A.J. Wei, "Cyclostationary detection based on non-cooperative spectrum sensing in cognitive radio network", In: 2016 IEEE international conference on cyber technology in automation, control, and intelligent systems (CYBER). Jun 19-22, 2016, Chengdu, China, 2016, pp. 184-187.
[39]
I. Ilyas, S. Paul, A. Rahman, and R.K. Kundu, "Comparative evaluation of cyclostationary detection based cognitive spectrum sensing", In: IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). Oct 20-22, 2016, New York, NY, USA, 2016, pp. 1-7.
[http://dx.doi.org/10.1109/UEMCON.2016.7777887]
[40]
M.A. Damavandi, and S. Nader-Esfahani, "Compressive wideband spectrum sensing in cognitive radio systems based on cyclostationaryfeature detection", In: 9th International Conference on Next Generation Mobile Applications, Services and Technologies. Feb 11-15, 2015, Okinawa, Japan, 2015, pp. 282-287.
[41]
D. Cohen, and Y.C. Eldar, "Compressed cyclostationary detection for cognitive radio", In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Mar 05-09, 2017, New Orleans, LA, USA, 2017, pp. 3509-3513.
[http://dx.doi.org/10.1109/ICASSP.2017.7952809]
[42]
S.K. Sharma, T.E. Bogale, S. Chatzinotas, L.B. Le, X. Wang, and B. Ottersten, "Improving robustness of cyclostationary detectors tocyclic frequency mismatch using Slepian basis", In: IEEE 26th Annual International Symposium on Personal, Indoor, andMobile Radio Communications (PIMRC). Aug 30- Sept 02, 2015, Hong Kong, China, 2015, pp. 456-460.
[43]
H. Reyes, S. Subramaniam, N. Kaabouch, and W.C. Hu, "A spectrum sensing technique based on autocorrelation and Euclidean distance and its comparison with energy detection for cognitive radio networks", Comput. Electr. Eng., vol. 52, pp. 319-327, 2016.
[http://dx.doi.org/10.1016/j.compeleceng.2015.05.015]
[44]
S. Subramaniam, H. Reyes, and N. Kaabouch, "Spectrum occupancy measurement: An autocorrelation based scanning techniqueusing USRP", In: 2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON). Apr 11-15, 2015, Cocoa Beach, FL, USA, 2015, pp. 1-5.
[45]
F. Salahdine, H. El Ghazi, N. Kaabouch, and W.F. Fihri, "Matched filter detection with dynamic threshold for cognitive radio networks", In: 2015 International Conference on Wireless Networks and Mobile Communications (WINCOM). Oct 20-23, 2015, Marrakech, Morocco, 2015, pp. 1-6.
[http://dx.doi.org/10.1109/WINCOM.2015.7381345]
[46]
X. Zhang, R. Chai, and F. Gao, "Matched filter based spectrum sensing and power level detection for cognitive radio network", In: 2014 IEEE global conference on signal and information processing (GlobalSIP). Dec 03-05, 2014, Atlanta, GA, USA, 2014, pp. 1267-1270.
[http://dx.doi.org/10.1109/GlobalSIP.2014.7032326]
[47]
C. Jiang, Y. Li, W. Bai, Y. Yang, and J. Hu, "Statistical matched filter based robust spectrum sensing in noise uncertainty environment", In: 2012 IEEE 14th International Conference on Communication Technology. Nov 09-11, 2012, Chengdu, 2012, pp. 1209-1213.
[http://dx.doi.org/10.1109/ICCT.2012.6511381]
[48]
Q. Lv, and F. Gao, "Matched filter based spectrum sensing and power level recognition with multiple antennas", In: 2015 IEEE Chinasummit and International Conference on Signal and Information Processing (ChinaSIP). Jul 12-15, 2015, Chengdu, China, 2015, pp. 305-309.
[http://dx.doi.org/10.1109/ChinaSIP.2015.7230413]
[49]
K.S. Kumar, R. Saravanan, and R. Muthaiah, "Cognitive radio spectrum sensing algorithms based on eigenvalue and covariancemethods", Int. J. Eng. Technol., vol. 5, no. 2, pp. 385-395, 2013.
[50]
Y. Zeng, and Y.C. Liang, "Covariance based signal detections for cognitive radio", In: 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Apr 17-21, 2007, Dublin, Ireland, pp. 202-207, 2007.
[http://dx.doi.org/10.1109/DYSPAN.2007.33]
[51]
Y. Zeng, and Y.C. Liang, "Maximum-minimum eigenvalue detection for cognitive radio", In: 2007 IEEE 18th International Symposiumon Personal, Indoor and Mobile Radio Communications. Sept 03-07, 2007, Athens, Greece, 2007, pp. 1-5.
[http://dx.doi.org/10.1109/PIMRC.2007.4394211]
[52]
Y. Zeng, "Spectrum-sensing algorithms for cognitive radio based on statistical covariance", IEEE Trans. Vehicular Technol., vol. 58, no. 4, pp. 1802-1904, 2009.
[53]
Q. Zhang, "Advanced detection techniques for cognitive radio", In: 2009 IEEE International Conference on Communications. July 18, 2009, Dresden, Germany, 2009, pp. 1-5.
[54]
B. Zayen, A. Hayar, and K. Kansanen, "Blind spectrum sensing for cognitive radio based on signal space dimension estimation", In: 2009 IEEE International Conference on Communications. Jun 14-19, 2009, Dresden, Germany, 2009, pp. 1-5.
[http://dx.doi.org/10.1109/ICC.2009.5198794]
[55]
V. Balaji, P. Kabra, P.V.P.K. Saieesh, C. Hota, and G. Raghurama, "Cooperative spectrum sensing in cognitive radios using perceptronlearning for ieee 802.22 wran", Procedia Comput. Sci., vol. 54, pp. 14-23, 2015.
[http://dx.doi.org/10.1016/j.procs.2015.06.002]
[56]
K. Zhang, J. Li, and F. Gao, "Machine learning techniques for spectrum sensing when primary user has multiple transmit powers", In 2014 IEEE International Conference on Communication Systems. Nov 19-21, 2014, Macau, China, pp. 137-41
[http://dx.doi.org/10.1109/ICCS.2014.7024781]
[57]
S.K. Sharma, E. Lagunas, S. Chatzinotas, and B. Ottersten, "Application of compressive sensing in cognitive radio communications:A survey", IEEE Commun. Surv. Tutor., vol. 18, no. 3, pp. 1838-1860, 2016.
[http://dx.doi.org/10.1109/COMST.2016.2524443]
[58]
F. Salahdine, N. Kaabouch, and H. El Ghazi, "A survey on compressive sensing techniques for cognitive radio networks", Phys. Commun., vol. 20, pp. 61-73, 2016.
[http://dx.doi.org/10.1016/j.phycom.2016.05.002]
[59]
F. Salahdine, N. Kaabouch, and H. El Ghazi, "Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitiveradio networks", In: 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference(UEMCON). Oct 20-22, 2016, New York, NY, USA, 2016, pp. 1-6.
[60]
Y. Arjoune, N. Kaabouch, H. El Ghazi, and A. Tamtaoui, "Compressive sensing: Performance comparison of sparse recovery algorithms", In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC). Jan 09-11, 2017, pp. 1-7.
[61]
M.A. McHenry, P.A. Tenhula, D. McCloskey, D.A. Roberson, and C.S. Hood, "Chicago spectrum occupancy measurements &analysisand a long-term studies proposal", In: Proceedings of the first international workshop on Technology and policy for accessingspectrum. Aug 05, 2006, New York, NY, United States, 2006, p. 1.
[62]
M. L’opez-Ben’ıtez, A. Umbert, and F. Casadevall, "Evaluation of spectrum occupancy in Spain for cognitive radio applications", In: VTC Spring 2009-IEEE 69th Vehicular Technology Conference. Apr 26-29, 2009, Barcelona, Spain, 2009, pp. 1-5.
[http://dx.doi.org/10.1109/VETECS.2009.5073544]
[63]
Z. Cheng, T. Song, J. Zhang, J. Hu, Y. Hu, and L. Shen, "Self-organizing map-based scheme against probabilistic SSDF attack incognitive radio networks", In: 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP). Oct 11-13, 2017, Nanjing, China, 2017, pp. 1-6.
[64]
Q. Lu, S. Yang, and F. Liu, "Wideband spectrum sensing based on riemannian distance for cognitive radio networks", Sensors, vol. 17, no. 4, p. 661, 2017.
[http://dx.doi.org/10.3390/s17040661] [PMID: 28333119]
[65]
H. Sun, A. Nallanathan, Wang Cheng-Xiang, and Y. Chen, "Wideband spectrum sensing for cognitive radio networks: A survey", IEEE Wirel. Commun., vol. 20, no. 2, pp. 74-81, 2013.
[http://dx.doi.org/10.1109/MWC.2013.6507397]
[66]
Y.L. Polo, Y. Wang, A. Pandharipande, and G. Leus, "Compressive wide-band spectrum sensing", In: 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2009, pp. 2337-2340.
[http://dx.doi.org/10.1109/ICASSP.2009.4960089]
[67]
X. Yang, Q. Cui, R. Yang, X. Tao, and X. Guo, "Multi-antenna compressed wideband spectrum sensing for cognitive radio", In: 2011 IEEE Wireless Communications and Networking Conference. Mar 28-31, 2011, Cancun, Mexico, 2011, pp. 1903-1908.
[http://dx.doi.org/10.1109/WCNC.2011.5779449]
[68]
Z. Tian, Y. Tafesse, and B.M. Sadler, "Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing", IEEE J. Sel. Top. Signal Process., vol. 6, no. 1, pp. 58-69, 2012.
[http://dx.doi.org/10.1109/JSTSP.2011.2181940]
[69]
Y. Wang, and G. Zhang, "Compressed wideband spectrum sensing based on discrete cosine transform", Sci. World J., vol. 2014, pp. 1-5, 2014.
[http://dx.doi.org/10.1155/2014/464895]
[70]
H. Sun, Wei-Yu Chiu, J. Jiang, A. Nallanathan, and H.V. Poor, "Wideband spectrum sensing with sub-Nyquist sampling in cognitiveradios", IEEE Trans. Signal Process., vol. 60, no. 11, pp. 6068-6073, 2012.
[http://dx.doi.org/10.1109/TSP.2012.2212892]
[71]
E.J. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information", IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, 2006.
[http://dx.doi.org/10.1109/TIT.2005.862083]
[72]
E.J. Candes, J.K. Romberg, and T. Tao, "Stable signal recovery from incomplete and inaccurate measurements", Commun. Pure Appl. Math., vol. 59, no. 8, pp. 1207-1223, 2006.
[http://dx.doi.org/10.1002/cpa.20124]
[73]
D.L. Donoho, "Compressed sensing", IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, 2006.
[http://dx.doi.org/10.1109/TIT.2006.871582]
[74]
Z. Tian, and G.B. Giannakis, "Compressed sensing for wideband cognitive radios", In: 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’07, Apr 15-20, 2007, Honolulu, HI, USA, 2007, p. IV-1357.
[http://dx.doi.org/10.1109/ICASSP.2007.367330]
[75]
F. Zeng, C. Li, and Z. Tian, "Distributed compressive spectrum sensing in cooperative multihop cognitive networks", IEEE J. Sel. Top. Signal Process., vol. 5, no. 1, pp. 37-48, 2011.
[http://dx.doi.org/10.1109/JSTSP.2010.2055037]
[76]
Z. Tian, "Compressed wideband sensing in cooperative cognitive radio networks", In: IEEE GLOBECOM 2008-2008 IEEE Global Telecommunications Conference. Dec 08, 2008, New Orleans, LA, USA, 2008, pp. 1-5.
[http://dx.doi.org/10.1109/GLOCOM.2008.ECP.721]
[77]
T. Ragheb, S. Kirolos, J. Laska, A. Gilbert, M. Strauss, and R. Baraniuk, "Implementation models for analog-to-information conversion via random sampling", In: 2007 50th Midwest Symposium on Circuits and Systems. Aug 05-08, 2007, Montreal, QC, Canada, pp. 325-328.
[78]
R. Tejaswi, T.L. Narasimhan, and A. Chockalingam, "Quad-LED complex modulation (QCM) for visible light wireless communication", In: 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). Apr 03-06, 2016, Doha, Qatar, 2016, pp. 18-23.
[79]
D. Cho, K. Minhoe, and L. Woongsup, "Deep cooperative sensing: Cooperative spectrum sensing based on CNN", IEEE Trans. Vehicular Technol., vol. 68, no. 3, pp. 3005-3009, 2019.
[http://dx.doi.org/10.1109/TVT.2019.2891291]
[80]
P. Baskar, M.A. Joseph, N. Narayanan, and R.B. Loya, "Experimental investigation of oxygen enrichment on performance of twincylinder diesel engine with variation of injection pressure", In: 2013 International Conference on Energy Efficient Technologiesfor Sustainability. Apr 10-12, 2013, Nagercoil, India, 2013, pp. 682-7.
[http://dx.doi.org/10.1109/ICEETS.2013.6533467]
[81]
B.M. Pati, M. Kaneko, and A. Taparugssanagorn, "A deep convolutional neural network based transfer learning method for noncooperative spectrum sensing", IEEE Access, vol. 8, pp. 164529-164545, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.3022513]
[82]
L. Abualigah, A. Diabat, P. Sumari, and A.H. Gandomi, "Applications, deployments, and integration of internet of drones (iod): A review", IEEE Sens. J., vol. 21, no. 22, pp. 25532-25546, 2021.
[http://dx.doi.org/10.1109/JSEN.2021.3114266]
[83]
J. Wang, and B. Liu, "A brief review of machine learning algorithms for cooperative spectrum sensing", J. Phy., vol. 1852, p. 042094, 2021.
[http://dx.doi.org/10.1088/1742-6596/1852/4/042094]
[84]
J. Tian, P. Cheng, Z. Chen, M. Li, H. Hu, Y. Li, and B. Vucetic, "A machine learning-enabled spectrum sensing method for OFDM systems", IEEE Trans. Vehicular Technol., vol. 68, no. 11, pp. 11374-11378, 2019.
[http://dx.doi.org/10.1109/TVT.2019.2943997]
[85]
K.M. Thilina, K.W. Choi, N. Saquib, and E. Hossain, "Pattern classification techniques for cooperative spectrum sensing in cognitive radio networks: SVM and W-KNN approaches", In: IEEE Global Communications Conference (GLOBECOM). Dec 03-07, 2012, Anaheim, CA, USA, 2012, pp. 1260-65.
[http://dx.doi.org/10.1109/GLOCOM.2012.6503286]
[86]
S. Liu, J. He, and J. Wu, "Dynamic cooperative spectrum sensing based on deep multi-user reinforcement learning", Appl. Sci. , vol. 11, no. 4, p. 1884, 2021.
[http://dx.doi.org/10.3390/app11041884]
[87]
W. Ning, X. Huang, K. Yang, F. Wu, and S. Leng, "Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks", J. Commun. Netw. (Seoul), vol. 22, no. 1, pp. 12-22, 2020.
[http://dx.doi.org/10.1109/JCN.2019.000052]
[88]
M. Varun, and C. Annadurai, "PALM-CSS: A high accuracy and intelligent machine learning based cooperative spectrum sensingmethodology in cognitive health care networks", J. Ambient Intell. Humaniz. Comput., vol. 12, no. 5, pp. 4631-4642, 2021.
[http://dx.doi.org/10.1007/s12652-020-01859-6]
[89]
J. Kim, and J.P. Choi, "Sensing coverage-based cooperative spectrum detection in cognitive radio networks", IEEE Sens. J., vol. 19, no. 13, pp. 5325-5332, 2019.
[http://dx.doi.org/10.1109/JSEN.2019.2903408]
[90]
H. He, and H. Jiang, "Deep learning based energy efficiency optimization for distributed cooperative spectrum sensing", IEEE Wirel. Commun., vol. 26, no. 3, pp. 32-39, 2019.
[http://dx.doi.org/10.1109/MWC.2019.1800397]
[91]
Z. Shi, W. Gao, S. Zhang, J. Liu, and N. Kato, "Machine learning-enabled cooperative spectrum sensing for non-orthogonal multipleaccess", IEEE Trans. Wirel. Commun., vol. 19, no. 9, pp. 5692-5702, 2020.
[http://dx.doi.org/10.1109/TWC.2020.2995594]
[92]
M.K. Giri, and S. Majumder, "On eigenvalue-based cooperative spectrum sensing using feature extraction and maximum entropyfuzzy clustering", J. Ambient Intell. Humaniz. Comput., pp. 1-15, 2022.
[93]
F. Obite, A.D. Usman, and E. Okafor, "An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks", Digit. Signal Process., vol. 113, p. 103014, 2021.
[http://dx.doi.org/10.1016/j.dsp.2021.103014]
[94]
S. Solanki, V. Dehalwar, and J. Choudhary, "Deep learning for spectrum sensing in cognitive radio", Symmetry , vol. 13, no. 1, p. 147, 2021.
[http://dx.doi.org/10.3390/sym13010147]
[95]
B. Varatharajana, E. Praveen, and E. Vinotha, "Neural network aided enhanced spectrum sensing in ognitive radio", Procedia Eng., vol. 38, pp. 82-88, 2012.
[http://dx.doi.org/10.1016/j.proeng.2012.06.012]
[96]
K. Kim, I.A. Akbar, K.K. Bae, J.S. Um, C.M. Spooner, and J.H. Reed, "Cyclostationary approaches to signal detection and classificationin cognitive radio", In: 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Apr 17-20, 2007, Ireland, 2007, pp. 212-215.
[97]
J.M. Bruno, Y. Ephraim, B.L. Mark, and Z. Tian, "Spectrum sensing using markovian models", In: Handbook of Cognitive Radio., Springer: Singapore, 2019, pp. 33-62.
[http://dx.doi.org/10.1007/978-981-10-1394-2_2]
[98]
L.R.L. Rodrigues, and E.L. Pinto, "HMM models and estimation algorithms for real-time predictive spectrum sensing and cognitive usage", Brazilian Symposium On Telecommunication And Signal Processing. Sept 03-06, 2017, Hotel Fazenda Fonte Colina Verde, São Pedro, SP, 2017.
[99]
P.P. Roy, and M. Muralidhar, "Hidden Markov model based channel state prediction in cognitive radio networks", Int. J. Eng. Res. Technol., vol. 4, no. 2, pp. 391-394, 2015.
[100]
K.P. Aiswarya, A.B. Thomas, A.S. Motti, A. Kuriakose, and J. Jacob, "Decision fusion in cognitive radio using improved fuzzy approach", Procedia Comput. Sci., vol. 143, pp. 219-225, 2018.
[http://dx.doi.org/10.1016/j.procs.2018.10.383]
[101]
Y.E. Morabit, F. Mrabti, and E.H. Abarkan, "Survey of artificial intelligence approaches in cognitive radio networks", J. Inform. Commun. Converg. Engin., vol. 17, no. 1, pp. 21-40, 2019.
[102]
W. Yang, Y. Cai, and Y. Xu, "A fuzzy collaborative spectrum sensing scheme in cognitive radio", In: 2007 International Symposiumon Intelligent Signal Processing and Communication Systems. Feb 01, 2007, Xiamen, China, 2007, pp. 566-569.
[103]
P. Velappan, and D. Krishnamoorthy, "Modified fuzzy C-means and K-means clustering based spectrum sensing using cooperative spectrum for cognitive radio networks applications", J. Intell. Fuzzy Syst., vol. 43, no. 1, pp. 1-14, 2022.
[104]
S. Hu, Y. Yao, and Z. Yang, "MAC protocol identification using support vector machines for cognitive radio networks", IEEE Wirel. Commun., vol. 21, no. 1, pp. 52-60, 2014.
[http://dx.doi.org/10.1109/MWC.2014.6757897]
[105]
A. Balieiro, P. Yoshioka, K. Dias, C. Cordeiro, and D. Cavalcanti, "Adaptive spectrum sensing for cognitive radio based on multi-objective genetic optimisation", Electron. Lett., vol. 49, no. 17, pp. 1099-1101, 2013.
[http://dx.doi.org/10.1049/el.2013.1173]
[106]
G. Eappen, and T. Shankar, "Multi-objective modified grey wolf optimization algorithm for efficient spectrum sensing in the cognitive radio network", Arab. J. Sci. Eng., vol. 46, no. 4, pp. 3115-3145, 2021.
[http://dx.doi.org/10.1007/s13369-020-05084-3]
[107]
L. Abualigah, D. Yousri, M. Abd Elaziz, A.A. Ewees, M.A.A. Al-qaness, and A.H. Gandomi, "Aquila Optimizer: A novel meta-heuristic optimization algorithm", Comput. Ind. Eng., vol. 157, p. 107250, 2021.
[http://dx.doi.org/10.1016/j.cie.2021.107250]
[108]
H.A. Shah, and I. Koo, "Reliable machine learning based spectrum sensing in cognitive radio networks", Wirel. Commun. Mob. Comput., vol. 2018, pp. 1-17, 2018.
[http://dx.doi.org/10.1155/2018/5906097]
[109]
S. Pattanayak, P. Venkateswaran, and R. Nandi, "Artificial intelligence based model for channel status prediction: A new spectrum sensing technique for cognitive radio", Int. J. Commun. Network Sys. Sci., vol. 6, no. 3, pp. 139-148, 2013.
[http://dx.doi.org/10.4236/ijcns.2013.63017]
[110]
C. Ghosh, C. Cordeiro, D.P. Agrawal, and M.B. Rao, "Markov chain existence and hidden Markov models in spectrum sensing", In: 2009 IEEE International Conference on Pervasive Computing and Communications. Mar 09-13, 2009, Galveston, TX, USA, 2009, pp. 1-6.
[http://dx.doi.org/10.1109/PERCOM.2009.4912868]
[111]
Y. Lu, P. Zhu, D. Wang, and M. Fattouche, "Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio net", 2016 IEEE Wireless Communications and Networking Conference. Apr 03-06, 2016, Doha, Qatar, 2016, pp. 1-6.
[112]
M.R. Vyas, D.K. Patel, and M. Lopez-Benitez, "Artificial neural network based hybrid spectrum sensing scheme for cognitive radio", In: IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications. Oct 08-13, 2017, Montreal, QC, Canada, 2017, pp. 1-7.
[http://dx.doi.org/10.1109/PIMRC.2017.8292449]
[113]
Z. Wang, A.M. Mikaeil, and B. Guo, "Machine learning to data fusion approach for cooperative spectrum sensing", In: 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. Oct 13-15, 2014, Shanghai, China, 2014, pp. 429-434.
[114]
H. Zhang, and X. Wang, "A fuzzy decision scheme for cooperative spectrum sensing in cognitive radio", In: 2011 IEEE 73rd Vehicular Technology Conference. May 15-18, 2011, Budapest, Hungary, 2011, pp. 1-4.
[http://dx.doi.org/10.1109/VETECS.2011.5956116]
[115]
O.P. Awe, Z. Zhu, and S. Lambotharan, "Eigenvalue and support vector machine techniques for spectrum sensing in cognitive radio networks", Proc. Conf. Techno. App. Artif. Intell., pp. 223-227, 2013.
[http://dx.doi.org/10.1109/TAAI.2013.52]
[116]
J. Jacob, B.R. Jose, and J. Mathew, "A fuzzy approach to decision fusion in cognitive radio", Procedia Comput. Sci., vol. 46, pp. 425-431, 2015.
[http://dx.doi.org/10.1016/j.procs.2015.02.040]
[117]
V. Kumar, M. Kandpal, R. Gangopadhya, and S. Debnath, "K-mean clustering based cooperative spectrum sensing in generalized к-μ fading channels"", 2018 Chinese Automation Congress (CAC)., Nov 30- Dec 02, 2018, Xi'an, China, pp. 1-5, 2018.
[118]
C. Yan, Y. Zhang, F. Dai, X. Wang, L. Li, and Q. Dai, "Parallel deblocking filter for HEVC on many-core processor", Electron. Lett., vol. 50, no. 5, pp. 367-368, 2014.
[http://dx.doi.org/10.1049/el.2013.3235]
[119]
K.M. Thilina, N. Saquib, and E. Hossain, "Machine learning techniques for cooperative spectrum sensing in cognitive radio networks", IEEE J. Sel. Areas Comm., vol. 31, no. 11, pp. 2209-2221, 2013.
[http://dx.doi.org/10.1109/JSAC.2013.131120]
[120]
P.M. Pradhan, and G. Panda, "Cooperative spectrum sensing in cognitive radio network using multiobjective evolutionary algorithms and fuzzy decision making", Ad. Hoc. Netw., vol. 11, no. 3, pp. 1022-1036, 2013.
[http://dx.doi.org/10.1016/j.adhoc.2012.11.007]
[121]
Q. Zou, S. Zheng, and A.H. Sayed, "Cooperative sensing via sequential detection", IEEE Trans. Signal Process., vol. 58, no. 12, pp. 6266-6283, 2010.
[http://dx.doi.org/10.1109/TSP.2010.2070501]
[122]
J. Lunden, V. Koivunen, A. Huttunen, and H.V. Poor, "Collaborative cyclostationary spectrum sensing for cognitive radio systems", IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4182-4195, 2009.
[http://dx.doi.org/10.1109/TSP.2009.2025152]
[123]
S. Zarrin, and T.J. Lim, "Cooperative spectrum sensing in cognitive radios with incomplete likelihood functions", IEEE Trans. Signal Process., vol. 58, no. 6, pp. 3272-3281, 2010.
[http://dx.doi.org/10.1109/TSP.2010.2045425]
[124]
G.C. Sobabe, Y. Song, and B. Guo, "A cooperative spectrum sensing algorithm based on unsupervised learning", In: 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). Oct 14-16, 2017, Shanghai, China, 2017, pp. 1-6.
[http://dx.doi.org/10.1109/CISP-BMEI.2017.8302156]
[125]
B.F. Lo, I.F. Akyildiz, and A.M. Al-Dhelaan, "Efficient recovery control channel design in cognitive radio ad hoc networks", IEEE Trans. Vehicular Technol., vol. 59, no. 9, pp. 4513-4526, 2010.
[http://dx.doi.org/10.1109/TVT.2010.2073725]
[126]
C. Sun, W. Zhang, and K.B. Letaief, "Cooperative spectrum sensing for cognitive radios under bandwidth constraints", In: 2007 IEEE Wireless Communications and Networking Conference. Mar 11-15, 2007, Hong Kong, China, 2007, pp. 1-5.
[http://dx.doi.org/10.1109/WCNC.2007.6]
[127]
X. Zhou, G.Y. Li, D. Li, D. Wang, and A.C. Soong, "Bandwidth efficient combination for cooperative spectrum sensing in cognitiveradio networks", In: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. Mar 14-19, 2010, Dallas, TX, USA, pp. 3126-9.
[http://dx.doi.org/10.1109/ICASSP.2010.5496092]
[128]
Jun Ma, Guodong Zhao, and Ye Li, "Soft combination and detection for cooperative spectrum sensing in cognitive radio networks", IEEE Trans. Wirel. Commun., vol. 7, no. 11, pp. 4502-4507, 2008.
[http://dx.doi.org/10.1109/T-WC.2008.070941]
[129]
Z Quan, S Cui, and AH Sayed, "Optimal linear cooperation for spectrum sensing in cognitive radio networks", IEEE J. Selected Topics Signal Process, vol. 2, no. 1, pp. 28-40, 2008.
[http://dx.doi.org/10.1109/JSTSP.2007.914882]
[130]
W. Zhang, R. Mallik, and K. Letaief, "Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks", IEEE Trans. Wirel. Commun., vol. 8, no. 12, pp. 5761-5766, 2009.
[http://dx.doi.org/10.1109/TWC.2009.12.081710]
[131]
J. Unnikrishnan, and VV. Veeravalli, "Cooperative sensing for primary detection in cognitive radio", IEEE J. Selected Topics Signal Process, vol. 2, no. 1, pp. 18-27, 2008.
[http://dx.doi.org/10.1109/JSTSP.2007.914880]
[132]
Y. Sel’en, H. Tullberg, and J. Kronander, "Sensor selection for cooperative spectrum sensing", In: 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks. Oct 14-17, 2008, Chicago, IL, USA, 2008, pp. 1-11.
[http://dx.doi.org/10.1109/DYSPAN.2008.51]
[133]
C. Sun, W. Zhang, and K.B. Letaief, "Cluster-based cooperative spectrum sensing in cognitive radio systems", In: 2007 IEEE International Conference on Communications. June 24-28, 2007, Glasgow, UK, 2007, pp. 2511-2515.
[http://dx.doi.org/10.1109/ICC.2007.415]
[134]
A.C. Malady, and C.R. da Silva, "Clustering methods for distributed spectrum sensing in cognitive radio systems", In: MILCOM2008-2008 IEEE Military Communications Conference. Nov 16-19, 2008,, San Diego, CA, USA, 2008, pp. 1-5.
[http://dx.doi.org/10.1109/MILCOM.2008.4753432]
[135]
C. Guo, T. Peng, S. Xu, H. Wang, and W. Wang, "Cooperative spectrum sensing with cluster-based architecture in cognitive radionetworks", In: VTC Spring 2009-IEEE 69th Vehicular Technology Conference. Jun 24-28, 2009, Glasgow, UK, 2009, pp. 1-5.
[136]
J. Wei, and X. Zhang, "Energy-efficient distributed spectrum sensing for wireless cognitive radio networks", In: 2010 INFOCOMIEEE Conference on Computer Communications Workshops. Mar 15-19, 2010, San Diego, CA, USA, 2010, pp. 1-6.
[http://dx.doi.org/10.1109/INFCOMW.2010.5466680]
[137]
Y. Zhao, J. Gaeddert, K.K. Bae, and J.H. Reed, "Radio environment map enabled situation-aware cognitive radio learning algorithms", In: Software Defined Radio Forum (SDRF) Technical Conference. Oct 29-31, 2007, Orlando, FL, USA, 2006, pp. 1-7.
[138]
A.W. Min, and K.G. Shin, "An optimal sensing framework based on spatial rss-profile in cognitive radio networks", In: 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. June 22-26, 2009, Rome, Italy, 2009, pp. 1-9.
[http://dx.doi.org/10.1109/SAHCN.2009.5168908]
[139]
S.J. Kim, E. Dall’Anese, and G.B. Giannakis, "Sparsity-aware cooperative cognitive radio sensing using channel gain maps", In: 2009Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. Nov 1-04, 2009, Pacific Grove, CA, USA, 2009, pp. 518-22.
[http://dx.doi.org/10.1109/ACSSC.2009.5469880]
[140]
J.A. Bazerque, and G.B. Giannakis, "Distributed spectrum sensing for cognitive radio networks by exploiting sparsity", IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1847-1862, 2010.
[http://dx.doi.org/10.1109/TSP.2009.2038417]
[141]
R. Ramjee, S. Roy, and K. Chintalapudi, "A critique of fcc’stv white space regulations", GetMobile. Mobile Comput. Commun., vol. 20, no. 1, pp. 20-25, 2016.
[142]
M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R. Katz, and A. Konwinski, "A view of cloud computing", Commun. ACM, vol. 53, no. 4, pp. 50-58, 2010.
[http://dx.doi.org/10.1145/1721654.1721672]
[143]
V. Namboodiri, "Towards sustainability in portable computing through cloud computing and cognitive radios", In: 2010 39th International Conference on Parallel Processing Workshops. Sept 13-16, 2010, San Diego, CA, USA, 2010, pp. 468-475.
[http://dx.doi.org/10.1109/ICPPW.2010.69]
[144]
P.S. Fleming, D. Koletsi, and N. Pandis, "Blinded by PRISMA: Are systematic reviewers focusing on PRISMA and ignoring other guidelines?", PLoS One, vol. 9, no. 5, p. e96407, 2014.
[http://dx.doi.org/10.1371/journal.pone.0096407] [PMID: 24788774]
[145]
B.F. Lo, and I.F. Akyildiz, "Reinforcement learning-based cooperative sensing in cognitive radio ad hoc networks", In: 21st AnnualIEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Sept 26-30, 2010, Istanbul, Turkey, 2010, pp. 2244-9.
[http://dx.doi.org/10.1109/PIMRC.2010.5671686]
[146]
L. Abualigah, M.A. Elaziz, P. Sumari, Z.W. Geem, and A.H. Gandomi, "Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer", Expert Syst. Appl., vol. 191, p. 116158, 2022.
[http://dx.doi.org/10.1016/j.eswa.2021.116158]
[147]
Y.C. Liang, Y. Zeng, E.C. Peh, and A.T. Hoang, "Sensing-throughput tradeoff for cognitive radio networks", IEEE transac. Wireless Commun., vol. 7, no. 4, pp. 1326-1337, 2008.
[148]
A. Ghasemi, and E.S. Sousa, "Spectrum sensing in cognitive radio networks: The cooperation-processing tradeoff", Wirel. Commun. Mob. Comput., vol. 7, no. 9, pp. 1049-1060, 2007.
[http://dx.doi.org/10.1002/wcm.480]
[149]
C. Song, and Q. Zhang, "Sliding-window algorithm for asynchronous cooperative sensing in wireless cognitive networks", In 2008 IEEE International Conference on Communications. May 19-23, 2008, Beijing, China, 2008, pp. 3432-6
[http://dx.doi.org/10.1109/ICC.2008.645]
[150]
X. Zhou, J. Ma, G.Y. Li, Y.H. Kwon, and A.C. Soong, "Probability-based combination for cooperative spectrum sensing", IEEE Trans. Commun., vol. 58, no. 2, pp. 463-466, 2010.
[http://dx.doi.org/10.1109/TCOMM.2010.02.080154]
[151]
A. Ghasemi, and E. Sousa, "Asymptotic performance of collaborative spectrum sensing under correlated log- normal shadowing", IEEE Commun. Lett., vol. 11, no. 1, pp. 34-36, 2007.
[http://dx.doi.org/10.1109/LCOM.2007.357451]
[152]
A. Wong, "Pin-Han Ho and P.H. Ho, “Extended knowledge-based reasoning approach to spectrum sensing for cognitive radio”", IEEE Trans. Mobile Comput., vol. 9, no. 4, pp. 465-478, 2010.
[http://dx.doi.org/10.1109/TMC.2009.148]
[153]
L. Abualigah, A. Diabat, S. Mirjalili, M. Abd Elaziz, and A.H. Gandomi, "The arithmetic optimization algorithm", Comput. Methods Appl. Mech. Eng., vol. 376, p. 113609, 2021.
[http://dx.doi.org/10.1016/j.cma.2020.113609]
[154]
A.W. Min, and K.G. Shin, "Impact of mobility on spectrum sensing in cognitive radio networks", In: Proceedings of the 2009 ACMworkshop on Cognitive radio networks. Sept 29, 2009, New York, NY, United States, 2009, pp. 13-8.
[http://dx.doi.org/10.1145/1614235.1614239]
[155]
R. Chen, J.M. Park, and K. Bian, "Robust distributed spectrum sensing in cognitive radio networks", In: IEEE INFOCOM 2008-The27th Conference on Computer Communications. Apr 13-18, 2008, Phoenix, AZ, USA, 2008, pp. 1876-1884.
[http://dx.doi.org/10.1109/INFOCOM.2008.251]
[156]
P. Kaligineedi, M. Khabbazian, and V.K. Bhargava, "Secure cooperative sensing techniques for cognitive radio systems", In: 2008 IEEEInternational Conference on Communications. May 19-23, 2008, Beijing, China, 2008, pp. 3406-10.
[http://dx.doi.org/10.1109/ICC.2008.640]
[157]
R. Chen, J.M. Park, and J.H. Reed, "Defense against primary user emulation attacks in cognitive radio networks", IEEE J. selected areas commun., vol. 26, no. 1, pp. 25-37, 2008.
[http://dx.doi.org/10.1109/JSAC.2008.080104]
[158]
L. Lazos, S. Liu, and M. Krunz, "Mitigating control-channel jamming attacks in multi-channel ad hoc networks", In: Proceedings ofthe second ACM conference on Wireless network security. Mar 16, 2009, New York, NY, United States, 2009, pp. 169-80.
[http://dx.doi.org/10.1145/1514274.1514299]
[159]
P. Tague, M. Li, and R. Poovendran, "Mitigation of control channel jamming under node capture attacks", IEEE Transactions on Mobile Computing, vol. 8, no. 9, pp. 1221-1234, 2009.
[http://dx.doi.org/10.1109/TMC.2009.33]
[160]
L. Dong, Z. Han, A.P. Petropulu, and H.V. Poor, "Improving wireless physical layer security via cooperating relays", IEEE Transactionson Signal Processing, vol. 58, no. 3, pp. 1875-1888, 2009.

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