Energy Detection Based Spectrum Sensing Strategy for CRN

被引:0
|
作者
Arshid, Kaleem [1 ]
Zhang Jianbiao [2 ]
Hanif, Irfan [3 ]
Munir, Rizwan [4 ]
Yaqub, Muhammad [1 ]
Tariq, Umair [4 ]
机构
[1] Beijing Univ Technol, Fac Informat Technol, Chaoyang, Peoples R China
[2] Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Trusted Comp, Beijing 100124, Peoples R China
[3] Minist Educ, Dept Comp Sci, Kotli, Pakistan
[4] Beijing Univ Post & Telecommun, Dept Elect Sci & Technol, Beijing, Peoples R China
来源
PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS) | 2020年
关键词
Cognitive Radio Networks; Spectrum Sensing; Spectrum Management Framework; Sensing Strategies; COGNITIVE RADIO;
D O I
10.1109/icaiis49377.2020.9194899
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cognitive Radio (CR) is an emerging technology which enables a secondary user (SU) to utilize the unoccupied spectrum holes owned by a primary user (PU) through spectrum sensing in order to maximize the utilization of finite spectrum resources. Although CRNs maximize the channel bandwidth resources without any impact upon well-established regulation of spectrum allocation but on the other hand energy consumption can be a challenge as efficient performance and energy consumption coexists. Spectrum sensing is very important part of spectrum management in CRNs as it detects the free bands to shift over the transmission of SU to it when PU comes back to its licensed band. In this research we proposed a novel spectrum sensing strategy that performs sensing in an energy efficient manner to select the most suitable target hole. We have compared our proposed strategy with existing spectrum sensing strategies in CRNs in a theoretical manner. Results show that proposed spectrum sensing strategy has better performance with comparison of recent technologies.
引用
收藏
页码:107 / 112
页数:6
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