基于特征值的频谱感知融合算法

doi:10.11959/j.issn.1000-436x.2019201

Abstract

Abstract:

Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.

Key words: spectrum sensing, random matrix theory, eigenvalues

CLC Number:

TN914

Wenjing ZHAO,He LI,Minglu JIN. Fusion spectrum sensing algorithm based on eigenvalues[J]. Journal on Communications, 2019, 40(11): 57-64.

Figures/Tables 7

算法	虚警概率	门限
MET	$P_{fa} = 1 - F_{TW} (\frac{γ M N - μ}{ν})$	$γ = (\frac{F_{TW}^{- 1} (1 - P_{fa}) ν + μ}{M N})$
MEGM	$P_{fa} = 1 - F_{TW} (\frac{γ N - μ}{ν})$	$γ = (\frac{F_{TW}^{- 1} (1 - P_{fa}) ν + μ}{N})$

References 20

[1]	XU T , ZHANG M , HU H ,et al. Sliced spectrum sensing—a channel condition aware sensing technique for cognitive radio networks[J]. IEEE Transactions on Vehicular Technology, 2018,67(11): 10815-10829.
[2]	SHBAT M , ORDAZ-SALAZAR F C , GONZáLEZ-SALAS J S , . Spectrum sensing challenges of iot nodes designed under 5G network standards[C]// 2018 15th International Conference on Electrical Engineering,Computing Science and Automatic Control. IEEE, 2018: 1-6.
[3]	EJAZ W , IBNKAHLA M . Multiband spectrum sensing and resource allocation for IoT in cognitive 5G networks[J]. IEEE Internet of Things Journal, 2018,5(1): 150-163.
[4]	KATZ M , MATINMIKKO-BLUE M , LATVA-AHO M , . 6Genesis flagship program:building the bridges towards 6G-enabled wireless smart society and ecosystem[C]// 2018 IEEE 10th Latin-American Conference on Communications. IEEE, 2018: 1-9.
[5]	MITOLA J , MAGUIRE G Q . Cognitive radio:making software radios more personal[J]. IEEE Personal Communications, 1999,6(4): 13-18.
[6]	ALI A , HAMOUDA W . Advances on spectrum sensing for cognitive radio networks:theory and applications[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(2): 1277-1304.
[7]	AWIN F , ABDEL-RAHEEM E , TEPE K . Blind spectrum sensing approaches for interweaved cognitive radio system:a tutorial and short course[J]. IEEE Communications Surveys ＆ Tutorials, 2019,21(1): 238-259.
[8]	余盼, 李斌, 赵成林 . 基于能量检测的异步感知算法[J]. 通信学报, 2017,38(3): 165-173.
	YU P , LI B , ZHAO C L . Asynchronous perception algorithm based on energy detection[J]. Journal on Communications, 2017,38(3): 165-173.
[9]	许炜阳, 李有均, 徐宏乾 ,等. 基于随机矩阵非渐近谱理论的协作频谱感知算法研究[J]. 电子与信息学报, 2018,40(1): 123-129.
	XU W Y , LI Y J , XU H Q ,et al. Study on cooperative spectrum sensing algorithm based on random matrix non-asymptotic spectral theory[J]. Journal of Electronics ＆ Information Technology, 2018,40(1): 123-129.
[10]	KAY S M . Fundamentals of statistical signal processing[M]. Englewood Cliffs: Prentice HallPress, 1998: 94-112.
[11]	DIGHAM F F , ALOUINI M S , SIMON M K . On the energy detection of unknown signals over fading channels[J]. IEEE Transactions on Communications, 2007,55(1): 21-24.
[12]	刘玉磊, 梁俊, 肖楠 ,等. 基于信道历史状态感知信息的频谱感知方法[J]. 通信学报, 2017,38(8): 118-130.
	LIU Y L , LIANG J , XIAO N ,et al. Spectrum sensing method based on past channel sensing information[J]. Journal on Communications, 2017,38(8): 118-130.
[13]	YUCEK T , ARSLAN H . A survey of spectrum sensing algorithms for cognitive radio applications[J]. IEEE Communications Surveys ＆ Tutorials, 2009,11(1): 116-130.
[14]	LIU C , LI H , WANG J ,et al. Optimal eigenvalue weighting detection for multi-antenna cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2017,16(4): 2083-2096.
[15]	ZENG Y , LIANG Y C . Eigenvalue-based spectrum sensing algorithms for cognitive radio[J]. IEEE Transactions on Communications, 2009,57(6): 1784-1793.
[16]	ZENG Y , LIANG Y C , ZHANG R . Blindly combined energy detection for spectrum sensing in cognitive radio[J]. AEU-International Journal of Electronics and Communications, 2012,66(1): 89-92.
[17]	WANG P , FANG J , HAN N ,et al. Multiantenna-assisted spectrum sensing for cognitive radio[J]. IEEE Transactions on Vehicular Technology, 2010,59(4): 1791-1800.
[18]	PILLAY N , XU H J . Blind eigenvalue-based spectrum sensing for cognitive radio networks[J]. IET Communications, 2012,6(11): 1388-1396.
[19]	BOUALLEGUE K , DAYOUB I , GHARBI M ,et al. ,Blind spectrum sensing using extreme eigenvalues for cognitive radio networks[J]. IEEE Communication Letter, 2018,22(7): 1386-1389.
[20]	JOHNSTONE I M . On the distribution of the largest eigenvalue in principal components analysis[J]. The Annals of Statistics, 2001,29(2): 295-327.

Metrics

Recommended 0

No Suggested Reading articles found!

Fusion spectrum sensing algorithm based on eigenvalues

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 20

Related Articles 15

Metrics

Recommended 0

[1]	Jianxin GAI, Xianfeng XUE, Ruixiang NAN, Jingyi WU. Spectrum sensing method based on residual dense network [J]. Journal on Communications, 2021, 42(12): 182-191.
[2]	Zhiguo SUN, Xinyue REN, Zengmao CHEN, Ming DIAO. Cooperative spectrum sensing method and performance analysis based on similarity between evidences [J]. Journal on Communications, 2020, 41(12): 139-147.
[3]	Yuanhua FU,Zhiming HE. Distance criterion-based quantizer design for cooperative spectrum sensing [J]. Journal on Communications, 2018, 39(9): 49-56.
[4]	Yu-lei LIU,Jun LIANG,Nan XIAO,Xiao-gang YUAN,Zhen-hao ZHANG. Spectrum sensing method based on past channel sensing information [J]. Journal on Communications, 2017, 38(8): 118-130.
[5]	Pan YU,Bin LI,Cheng-lin ZHAO. Asynchronous perception algorithm based on energy detection [J]. Journal on Communications, 2017, 38(3): 165-173.
[6]	Jing-yu FENG,Xu DU,Hong-gang WANG,Wen-hua HUANG. Research on multi-channel routing threats and defense for cognitive ad hoc network [J]. Journal on Communications, 2016, 37(Z1): 92-97.
[7]	Ming WU,Tie-cheng SONG,Jing HU,Lian-feng SHEN. Novel cooperative global spectrum sensing algorithm based on variational Bayesian inference [J]. Journal on Communications, 2016, 37(2): 116-124.
[8]	Yang ZHANG,Hua PENG,Ke-xian GONG. Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis [J]. Journal on Communications, 2016, 37(2): 191-198.
[9]	Chang LIU,SajjadAli Syed,Rui ZHANG,Si-ying LI,Jie WANG,Ming-lu JIN. Spatial spectrum based blind spectrum sensing for multi-antenna cognitive radio system [J]. Journal on Communications, 2015, 36(4): 115-124.
[10]	Yin MI,Guang-yue LU. Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution [J]. Journal on Communications, 2015, 36(1): 84-89.
[11]	Xu-zhou ZUO,Wei-wei XIA,Lian-feng SHEN. Dynamic spectrum access method for femtocells in LTE [J]. Journal on Communications, 2015, 36(1): 111-120.
[12]	. New spectrum sensing method under time-variant flat fading channels [J]. Journal on Communications, 2014, 35(7): 8-69.
[13]	Meng-wei SUN,Long ZHAO,Qiao-chun XU,Bin LI,Cheng-lin ZHAO. New spectrum sensing method under time-variant flat fading channels [J]. Journal on Communications, 2014, 35(7): 63-69.
[14]	Bin SHEN,Shu WANG,Qiong HUANG,Qian-bin CHEN. Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio [J]. Journal on Communications, 2014, 35(4): 1-10.
[15]	. Gerschgorin disk theorem based spectrum sensing for wideband cognitive radio [J]. Journal on Communications, 2014, 35(4): 1-10.