Compressive spectrum sensing for 5G cognitive radio networks - LASSO approach

被引：5
|
作者：
Koteeshwari, R. S. [1 ,2 ]
Malarkodi, B. [1 ]
机构：
[1] Natl Inst Technol, Dept Elect & Commun Engn, Trichy 620015, India
[2] EGS Pillay Engn Coll, Dept Elect & Commun Engn, Nagapattinam 611002, India
来源：
HELIYON | 2022年 / 8卷 / 06期
关键词：
5G networks; Compressed sensing; Recovery algorithm; LASSO; SIGNAL RECOVERY; ALGORITHMS;
D O I：
10.1016/j.heliyon.2022.e09621
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In recent years, the importance of Artificial Intelligence is inevitable for effective performance in communication area. The progressing in standards from beyond 5G networks are compatible gadgets for incorporate wireless communication. Cognitive radio (CR) is a sensible and advanced scientific communication that can effectively handle the radio spectrum applications. Spectrum sensing (SR) is the primary role in CR. In SR, various Wide Band techniques suited for 5G were investigated in this paper. (Least Absolute Shrinkage and Selection Operator) LASSO is the suitable choice for communication in compressive sensing and recovery in wideband 5G networks. The obtained results were correlated with recent report. Further, the relative merit and demerits are discussed significantly.
引用
收藏
页数：5
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