Spectrum Allocation of Secondary Users Using Optimization Problem of Linear Cooperative Spectrum Sensing Techniques

Pratik Tawde , Madhavi.M , Shilpa Gaikwad

Cognitive Radio, OFDM, MATLAB, Power.

Resource allocation is used for complete utilization of frequency spectrum in cognitive radio networks. To maximize capacity is current research problem because of the many practical limitations such as transmission power, interference threshold of primary users and traffic demands of secondary users. In this paper consider spectrum access scenario which consists of two groups of users, namely Primary Users (PUs) and Secondary Users (SUs) in Cognitive Radio Networks (CRNs). Genetic algorithm (GA) is an efficient technique used for achieving power allocation in proposed systems. Cognitive radio has attracted a lot of attention recently due to its superior spectral efficiency and could play a vital role in improving the capacity of future networks. This paper presents resource allocation in terms of number of user, power. Simulation is done in MATLAB software and results shows that resource allocation gives complete utilization of spectrum bandwidth with minimum power along with maximum data rate.

Published Paper   E-Certificate

"Spectrum Allocation of Secondary Users Using Optimization Problem of Linear Cooperative Spectrum Sensing Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.434 - 439, September-2022, Available :https://ijsdr.org/papers/IJSDR2209072.pdf

Volume 7 Issue 9, September-2022

Pages : 434 - 439

Paper Reg. ID: IJSDR_201627

Published Paper Id: IJSDR2209072

Downloads: 000347190

Research Area: Engineering

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2209072

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2209072

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition