Compressive spectrum sensing for 5G cognitive radio networks - LASSO approach
Related Experiment Video
Updated: Sep 20, 2025

Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
R S Koteeshwari1,2, B Malarkodi1
1Department of Electronics and Communication Engineering, National Institute of Technology, Trichy, 620 015, India.
Abstract:
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.
Related Concept Videos
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
Receiver Operating Characteristic Plot
Classification of Signals
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
Linear Approximation in Time Domain
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
IR Frequency Region: X–H Stretching

