Ning YANG, Daoxing GUO. Detection of 3D Spatial-Temporal Spectrum Opportunity in Satellite-Terrestrial Integrated Network[J]. Space-integrated-ground information networks, 2022, 3(4): 67-74.
DOI:
Ning YANG, Daoxing GUO. Detection of 3D Spatial-Temporal Spectrum Opportunity in Satellite-Terrestrial Integrated Network[J]. Space-integrated-ground information networks, 2022, 3(4): 67-74. DOI: 10.11959/j.issn.2096-8930.2022044.
Detection of 3D Spatial-Temporal Spectrum Opportunity in Satellite-Terrestrial Integrated Network
The detection of 3D spectrum opportunities in the downlink sharing scenario in satellite-terrestrial integrated networks was investigated.First
defined the 3D space-time spectrum opportunities in the satellite-terrestrial integrated networks
and further divided the opportunities into three areas in the spatial domain: the communication area of primary user
the communication protection belt
and the free access area.Then
based on the proposed 3D opportunity model
derived the closed expressions of the detection and false alarm probability at the user-level and the network-level
respectively.In order to further utilized the spatial spectrum opportunity
a power control scheme of the cognitive user was determined through 3D spectrum sensing
i.e.
interference constraint (IC).The simulation results demonstrated that the proposed power control scheme could realized the detection of 3D spectrum opportunity.
关键词
Keywords
references
SHARMA S K , CHATZINOTAS S , OTTERSTEN B . Satellite cognitive communications:interference modeling and techniques selection [C ] // Proceedings of 2012 6th Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC) . Piscataway:IEEE Press , 2012 : 111 - 118 .
TANDRA R , MISHRA S M , SAHAI A . What is a spectrum hole and what does it take to recognize one? [J ] . Proceedings of the IEEE , 2009 , 97 ( 5 ): 824 - 848 .
WANG B B , LIU K J R . Advances in cognitive radio networks:a survey [J ] . IEEE Journal of Selected Topics in Signal Processing , 2011 , 5 ( 1 ): 5 - 23 .
MA J , ZHAO G D , LI Y . Soft combination and detection for cooperative spectrum sensing in cognitive radio networks [J ] . IEEE Transactions on Wireless Communications , 2008 , 7 ( 11 ): 4502 - 4507 .
HAYKIN S . Cognitive radio:brain-empowered wireless communications [J ] . IEEE Journal on Selected Areas in Communications , 2005 , 23 ( 2 ): 201 - 220 .
ZHANG L Y , DING G R , WU Q H . Detecting abnormal power emission for orderly spectrum usage [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 2 ): 1989 - 1992 .
QUAN Z , CUI S G , SAYED A H . Optimal linear cooperation for spectrum sensing in cognitive radio networks [J ] . IEEE Journal of Selected Topics in Signal Processing , 2008 , 2 ( 1 ): 28 - 40 .
JIANG C X , CHEN Y , LIU K J R , et al . Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior [J ] . IEEE Journal on Selected Areas in Communications , 2013 , 31 ( 3 ): 406 - 416 .
LIU Y , ZHANG B N , GUO D X , et al . Detection of spectrum misuse behavior in satellite-terrestrial spectrum sensing based on multihypothesis tests [J ] . IEEE Access , 2020 ( 99 ): 50399 - 50413 .
ZHANG L Y , DING G R , WU Q H , et al . Spectrum sensing under spectrum misuse behaviors:a multi-hypothesis test perspective [J ] . IEEE Transactions on Information Forensics and Security , 2018 , 13 ( 4 ): 993 - 1007 .
ZHANG C , JIANG C X , KUANG L L , et al . Spatial spectrum sharing for satellite and terrestrial communication networks [J ] . IEEE Transactions on Aerospace and Electronic Systems , 2019 , 55 ( 3 ): 1075 - 1089 .
盛骤 . 概率论与数理统计 [M ] . 北京 : 高等教育出版社 , 2001 .
SHENG Z . Probability Theory and Mathematical Statistics [M ] . Beijing : Higher Education Press , 2001 .