Paper Info
Title
Analysis of Cognitive Radio for LTE and 5G Waveforms
Abstract
Spectrum sensing is one of the major concerns in reaching an efficient Quality of service (QOS) in the advanced mobile communication system. The advanced engineering sciences such as 5G, device 2 device communications (D2D), Internet of things (IoT), MIMO require a large spectrum for better service. Orthogonal frequency division multiplexing (OFDM) is not a choice in advanced radio due to the Cyclic Prefix (CP), wastage of the spectrum, and so on. Hence, it is important to explore the spectral efficient advanced waveform techniques and combine a cognitive radio (CR) with the 5G waveform to sense the idle spectrum, which overcomes the spectrum issue. The demand for spectrum is ever increasing; however, spectrum is limited and is an acutely scarce resource. To alleviate the issue, techniques like Cognitive Radios (CR) have been devised. However, such techniques are non-standardized, and many variations of CR algorithms have been tried and tested. This paper details the several spectrum sensing methods tailored for CR. We explain the benefits, uniqueness, and drawbacks of the various techniques to provide a comprehensive review of the scene, including all recent and novel techniques of CR. Finally, we provided experimental results for the performance of the CR for key 5G and beyond modulation techniques to elaborate the dependency of the CR techniques for CR applications and provide a competitive review of their performance. Experiments show that the CR integrated with NOMA shows better performance as compared with existing techniques.
Year
DOI
Venue
2022
10.32604/csse.2022.024749
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
Keywords
DocType
Volume
CR, Energy detection, FBMC, NOMA, OFDM
Journal
43
Issue
ISSN
Citations 
3
0267-6192
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Ramesh Ramamoorthy100.68
Himanshu Sharma200.68
A. Akilandeswari300.34
Nidhi Gour400.34
Arun Kumar57310.24
Mehedi Masud67726.95