A5024415601- Cognitive Radio Networks and Spectrum Sensing
- Distributed Sensor Networks and Detection Algorithms
- Sparse and Compressive Sensing Techniques
- Advanced MIMO Systems Optimization
- Wireless Communication Networks Research
- Microwave Imaging and Scattering Analysis
- Blind Source Separation Techniques
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Silicon Carbide Semiconductor Technologies
- Advanced Wireless Communication Techniques
Government of Mizoram
2022-2025
Maulana Azad National Institute of Technology
2022-2025
Central Electronics Engineering Research Institute
2022
National Institute of Technology
2022
ABSTRACT Spectrum sensing (SS) is a significant processing of cognitive radio networks (CRNs) that enables users to detect the underutilized or unutilized primary (PUs) and licensed spectrum for effectual usage. The threshold value selection vital step in determining state (appearance/non‐appearance) PU sensing, it has impact on detection false‐alarm probability. When targeted parameter achieved at low SNR, other considerably degrades. In this manuscript, adaptive sampling point with...
The generalized block sparsity adaptive matching pursuit (GBSAMP) approach is suggested for Massive Multi-Input Multi-Output (MIMO) systems with unexpected channel routes. endorsed set atoms are quickly and initially chosen using the combined of massive MIMO system sub-channels by imposing threshold identifying highest backward differential location, as well energy dispersion caused a non-orthogonality observation matrix taken into consideration to enhance algorithm's estimation accuracy....
Finding substitutes for Silicon dioxide materials is necessary when technology scaled back. TheSOI device conceals the self heating effects induced in MOSFET. There exists an active path of conduction from drain to substrate and source entire curb effects. The buried oxide layer used SiO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> it essentially free issues related fabrication performance. comparison made bulk MOSFET SOI literature....
Abstract The proposed cooperative spectrum sensing (CSS) network has promising characteristics that might increase detection performance. This study focuses on identifying unknown signals in a Rayleigh fading environment using an improved energy detector (IED). suggested is made up of numerous cognitive radio (CR) nodes, with number antennas installed at each CR node and selection combining (SC) used to identify the maximum probability. Furthermore, activity primary user (PU) completed...