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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Hybrid Spectrum Handoff Scheme of Imperfect Sensing in Cognitive Radio Networks

Author(s): Peng Junwei, Han Zhiren, Tao Kai and Li Weishuang*

Volume 13, Issue 4, 2019

Page: [364 - 373] Pages: 10

DOI: 10.2174/1872212112666181025161710

Price: $65

Abstract

Background: In the actual cognitive radio network, there exist the imperfect sensing such as false alarm and missed detection which can lead to the inaccurate spectrum handoff and cause more uncertain problems. Meanwhile, the predetermined target channel has high risk of being unavailable in the proactive-decision spectrum handoff scheme.

Objective: To solve the problem that the state of the predetermined target channel is updated in the proactive-decision spectrum handoff scheme, we present a novel hybrid spectrum handoff scheme based on Preemptive Resume Priority (PRP) M/G/m queuing network model in this paper.

Methods: The proposed scheme combines the advantages of proactive-decision spectrum handoff and reactive-decision spectrum handoff, and performs the spectrum sensing during the waiting time of the cognitive user on the target channel. On this basis, we consider the influence of multiple cognitive users, multiple authorization channels, multiple spectrum handoffs and other factors on the spectrum handoff delay of cognitive user. Then, the detailed analysis and derivations of cognitive user’s extended data delivery time are conducted. Furthermore, the effect of imperfect spectrum sensing on the spectrum handoff performance of cognitive users is discussed.

Results: Compared with traditional spectrum handoff schemes, numerical results show that the extended data delivery time of the proposed scheme is smaller, and the performance of spectrum handoff is further improved. In addition, the performance of the proposed scheme is less affected by the probability of false alarm and missed detection with frequent channel states variations. Simulation results are given to validate the analytical results.

Conclusion: The hybrid spectrum handoff scheme provide better performance on the spectrum sharing between primary users and cognitive users in cognitive radio network under imperfect sensing condition.

Keywords: Cognitive radio, spectrum handoff, hybrid scheme, extended data delivery time, imperfect sensing.

Graphical Abstract

[1]
B. Wang, and K.J.R. Liu, "Advances in cognitive radio networks: A survey", IEEE J. Sel. Top. Signal Process., vol. 5, pp. 5-23, 2011.
[2]
Y. Lin, C. Wang, J.X. Wang, and Z. Dou, "A novel dynamic spectrum access framework based on reinforcement learning for cognitive radio sensor networks", Sensors, vol. 16, pp. 1-22, 2016.
[3]
S. Liu, Z. Pan, W. Fu, and X. Cheng, "Fractal generation method based on asymptote family of generalized Mandelbrot set and its application", J. Nonlinear Sci. App., vol. 10, pp. 1148-1161, 2017.
[4]
G.R. Ding, J.L. Wang, Q.H. Wu, L.Y. Zhang, Y.L. Zou, Y.D. Yao, and Y.Y. Chen, "Robust spectrum sensing with crowd sensors", IEEE Trans. Commun., vol. 62, pp. 1-7, 2014.
[5]
H. Wang, J.C. Li, L.L. Guo, Z. Dou, Y. Lin, and R.L. Zhou, "Fractal complexity-based feature extraction algorithm of communication signals", FRACTALS, vol. 25, .1740008 2017
[6]
R. Aguilar-Gonzalez, M. Cardenas-Juarez, U. Pineda-Rico, and E. Stevens-Navarro, "Performance of MADM algorithms with real spectrum measurements for spectrum decision in cognitive radio networks", Elec. Eng. Comput. Sci. Auto. Cont., vol. 11, pp. 1-6, 2014.
[7]
Y. Li, C. Wang, C.G. Ma, Z. Dou, and X.F. Ma, "A new combination method for multisensor conflict information", J. Supercomput., vol. 72, pp. 2874-2890, 2016.
[8]
N. Zhao, F.R. Yu, H. Sun, and M. Li, "Adaptive power allocation schemes for spectrum sharing in interference-alignment-based cognitive radio networks", IEEE Trans. Biomed. Circuits Syst., vol. 65, pp. 3700-3714, 2016.
[9]
L.C. Wang, and C.W. Wang, "Spectrum handoff for cognitive radio networks: Reactive-sensing or proactive sensins? In ", Performance, Computing and Communications Conference, vol. 2008, pp. 343-348 2009
[10]
C.W. Wang, and L.C. Wang, "Analysis of reactive spectrum handoff in cognitive radio networks", IEEE J. Sel. Areas Comm., vol. 30, pp. 2016-2028, 2012.
[11]
S. Liu, W. Fu, L. He, J. Zhou, and M. Ma, "Distribution of primary additional errors in fractal encoding method", Multimedia Tools Appl., vol. 76, pp. 5787-5802, 2017.
[12]
L. Zhang, T. Song, M. Wu, X. Bao, J. Guo, and J. Hu, "Traffic-adaptive proactive spectrum handoff strategy for graded secondary users in cognitive radio networks", Chin. J. Electron., vol. 24, pp. 844-851, 2015.
[13]
F.Z. Benidris, B. Benmammar, and F. Krief, "A novel approach to spectrum management in cognitive radio networks using agent coalition formation", Inter. J. Wireless Mobile Comput., vol. 9, pp. 27-35, 2015.
[14]
W. Bai, Z. Gao, C. Jiang, and Y. Li, Frequency spectrum handoff method and device in cognitive radio system. W.O. Patent 082,973 A1, 2013
[15]
S. Bayhan, and F. Alagöz, "A Markovian approach for best-fit channel selection in cognitive radio networks", Ad Hoc Netw., vol. 12, pp. 165-177, 2014.
[16]
L. Zhang, T. Song, M. Wu, J. G, D. Sun, and B. Gu, "Modeling for spectrum handoff based on secondary users with different priorities in cognitive radio networks", Wireless Commun. Signal Process., vol. 7363, pp. 1-6, 2012.
[17]
Q. Xiao, Y. Li, M. Zhao, S. Zhou, and J. Wang, "Opportunistic channel selection approach under collision probability constraint in cognitive radio systems", Comput. Commun., vol. 32, pp. 1914-1922, 2009.
[18]
F. Hu, and Y. Wu, system and method for managing wireless frequency usage. U.S. Patent 0,365,871, 2015.
[19]
Y. Wu, F. Hu, Y. Zhu, and S. Kumar, "Optimal spectrum handoff control for CRN based on hybrid priority queuing and multi-teacher apprentice learning", IEEE Trans. Biomed. Circuits Syst., vol. 66, pp. 2630-2642, 2017.
[20]
L. Li, Y. Shen, K. Li, and K. Lin, "TPSH: A novel spectrum handoff approach based on time estimation in dynamic spectrum networks", Comput. Sci. Eng., vol. 14, pp. 345-350, 2011.
[21]
X.L. Yang, X.Z. Tan, and K. Guan, "Spectrum handoff model based on preemptive queuing theory in cognitive radio networks", Acta Physica Sinica, vol. 64, pp. 1-9, 2015.
[22]
M.A. Bin, X.M. Bao, and X.Z. Xie, "The handoff study of imperfect sensing in cognitive radio network", J. Beijing Uni. Posts Telecommun., vol. 39, pp. 13-18, 2016.
[23]
L.C. Wang, C.W. Wang, and C.J. Chang, "Modeling and analysis for spectrum handoffs in cognitive radio networks", IEEE Trans. Mobile Comput., vol. 11, pp. 1499-1513, 2012.

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