Computer Science ›› 2018, Vol. 45 ›› Issue (9): 166-170.doi: 10.11896/j.issn.1002-137X.2018.09.027

• Network & Communication • Previous Articles     Next Articles

Double Thresholds DMM Cooperative Spectrum Sensing Algorithm Based on Credibility

GAO Peng1, LIU Yun-jiang1, GAO Wei-ting1, LI Man2, CHEN Juan3   

  1. Information and Navigation Institute,Air Force Engineering University,Xi’an 710077,China1
    Computer Institute,Xi’an Aeronautical University,Xi’an 710077,China2
    The Army of 91917,Beijing 102401,China3
  • Received:2017-07-01 Online:2018-09-20 Published:2018-10-10

Abstract: Because the eigenvalue-based double thresholds spectrum sensing algorithms overlook the reliability differencebetween second users(SU) and the highexpense of fusion decisions,a double thresholds DMM cooperative spectrum sensing algorithm based on credibility(DT-CDMM) was proposed to improve the sensing performance.Based on the difference between maximum and minimum eigenvalue(DMM) algorithm,a double thresholds DMM spectrum sensing algorithm based on limiting eigenvalue distribution is used as SU’s local sensing,a triggered mechanism combined with soft and hard decisions is established to cut the system expenses,the final decision is obtained via the weighting of SU’ssensing performance and local credibility,and a self-adaption compensation for hard decisions is applied.Theory analysis and simulations show that the DT-CDMMimproves the probability of multi-user collaborative detection compared with double eigenvalue thresholds algorithms and double thresholds energy detection algorithm when noise is undefined.

Key words: Cooperative spectrum sensing, Credibility, DMM, Eigenvalue, Limiting eigenvalue distribution

CLC Number: 

  • TN92
[1]ROBERT C Q,ZHEN H,HUSHENG L,等.认知无线电通信组网:原理与应用[M].郎为民,等译.第一版.北京:机械工业出版社,2013:1-3.
[2]PANDIT S,SINGH G.Spectrum Sensing in Cognitive Radio
Networks:Potential Challenges and Future Perspective[M]∥Spectrum Sharing in Cognitive Radio Networks.German:Springer International Publishing,2017.
[3]SEDIGHI S,TAHERPOUR A,GAZOR S,et al.Eigenvalue-Based Multiple Antenna Spectrum Sensing:Higher Order Moments[J].IEEE Transactions on Wireless Communications,2017,16(2):1168-1184.
[4]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.
[5]ZHANG X J,LU Y,TIAN F,et al.Double-threshold cooperative spectrum sensing for cognitive radio based on trust[J].Acta Physica Sinica,2014,63(7):362-372.(in Chinese)
[6]JIANG X L.Double threshold collaborative spectrum sensing algorithm based on energy sensing[J].D’d Journal of Heilongjiang University of Science and Technology,2016,26(1):75-79.(in Chinese)
[7]LI M Y,LI O,SUN W J.Double-threshold Cooperative Spectrum Sensing Algorithm Based on Noise Uncertainty[J].Computer Engineering,2014,40(4):81-86. (in Chinese)
[8]ZENG Y H,LIANG Y C.Maximum Minimum eigenvalue detection for cognitive radio[C]∥The 18th Annual IEEE Internatio-nal Symposium on Personal,Indoor and Mobile Radio Communications.Athens,Greece,2007:1-5.
[9]WANG Y X,LU G Y.DMM Based Spectrum Sensing Method for Cognitive Radio Systems[J]. D’d Journal of Electronics & Information Technology,2010,32(11):2572-2574.(in Chinese)
[10]TSINOS C G,BERBERIDIS K.Decentralized Adaptive Eigen-value-Based Spectrum Sensing for Multiantenna Cognitive Radio Systems[J].IEEE Transactions on Wireless Communications,2013,14(3):1703-1715.
[11]LI Z,WANG D,QI P,et al.Maximum-Eigenvalue-Based Sen-sing and Power Recognition for Multiantenna Cognitive Radio System[J].IEEE Transactions on Vehicular Technology,2016,65(10):8218-8229.
[12]ZOU W X,DING Q,ZHOU Z,et al.Double threshold spectrum sensing algorithm based on limiting eigenvalue distribution[J]. Systems Engineering and Electronics,2012,34(3):588-591.(in Chinese)
[13]HAREESH K,SINGH P.An energy efficient hybrid co-operative spectrum sensing technique for CRSN[C]∥International Multi-Conference on Automation,Computing,Communication,Control and Compressed Sensing.IEEE,2013:438-442.
[14]PENG Y,CUI Z R.CHEN C K.Selectively Triggered Cooperative Specturm Sensing in Wireless Cognitive Network[J].Computer Engineering,2017,43(3):89-93.(in Chinese)
[1] WANG Yu-fei, CHEN Wen. Tri-training Algorithm Based on DECORATE Ensemble Learning and Credibility Assessment [J]. Computer Science, 2022, 49(6): 127-133.
[2] SONG Yu, SUN Wen-yun. Edge Detection in Images Corrupted with Noise Based on Improved Nonlinear Structure Tensor [J]. Computer Science, 2021, 48(6): 138-144.
[3] GUO Cong-rui, WANG Jun and FENG Yi-ming. Research on Method of Credibility Evaluation of System Simulation [J]. Computer Science, 2020, 47(6A): 567-571.
[4] GAO Qing-Ji, WANG Wen-bo, HOU Shi-hao and XING Zhi-wei. Traffic Strategy in Dense Crowd Environments Based on Expandable Path [J]. Computer Science, 2020, 47(6A): 34-39.
[5] YANG Xiao-jun, XU Zhong-fu, ZHANG Xing, SUN Dan-hui. Overview and Difficulties Analysis on Credibility Assessment of Simulation Models [J]. Computer Science, 2019, 46(6A): 23-29.
[6] LI Meng-xiao, YAO Shi-yuan. Design and Improvement of Face Recognition System Based on PCA [J]. Computer Science, 2019, 46(6A): 577-579.
[7] WANG Qian-qing, ZHANG Jing-lei. Face Pose and Expression Correction Based on 3D Morphable Model [J]. Computer Science, 2019, 46(6): 263-269.
[8] LIU Hua-jun, TANG Shi-di, ZHANG Di-ke, XIA Qiao-qiao. Study on Optimization of Quantization Algorithm in ADMM Decoding Algorithm Based on Lookup Table [J]. Computer Science, 2019, 46(11): 328-333.
[9] ZHENG Hong-liang, HOU Xue-hui, SONG Xiao-ying, PANG Kuo, ZOU Li. Approach for Knowledge Reasoning Based on Hesitate Fuzzy Credibility [J]. Computer Science, 2019, 46(1): 131-137.
[10] XU Shao-ping, ZENG Xiao-xia ,JIANG Yin-nan ,LIN Guan-xi ,TANG Yi-ling. Fast Noise Level Estimation Algorithm Based on Nonlinear Rectification of Smallest Eigenvalue [J]. Computer Science, 2018, 45(7): 219-225.
[11] FENG Lei, JI Jun-zhong, WU Chen-sheng. New Method for Ranking Scientific Publications with Creditworthiness Mechanism [J]. Computer Science, 2018, 45(11A): 132-137.
[12] QI Quan, WANG Ke-ren and DU Yi-hang. Cooperative Spectrum Sensing Based on Reputation Mechanism in Cognitive Ad hoc Networks [J]. Computer Science, 2017, 44(10): 103-108.
[13] ZHANG Xing-hang, GUO Yan, LI Ning and SUN Bao-ming. DOA Estimating Algorithm Based on Grid-less Compressive Sensing [J]. Computer Science, 2017, 44(10): 99-102.
[14] WU Wei-min, CHEN Dong-xin, LAI Wen-xin and SU Qing. Research and Implementation of EFI OS Loader Security Reinforcement Technology [J]. Computer Science, 2016, 43(9): 188-191.
[15] ZHANG Xue-ming, HUANG Zhi-qiu and SUN Yi. Research on Privacy Access Control Based on RBAC [J]. Computer Science, 2016, 43(1): 166-171.
Full text



No Suggested Reading articles found!