Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract: The increasing demand for wireless communication has led to a shortage of frequency spectrum, with primary users (PUs) underutilizing their licensed bands and secondary users (SUs) restricted from accessing them, causing inefficiency. This project focuses on optimizing power allocation and channel sensing in multi-user cognitive OFDM systems. We propose a dynamic power allocation scheme that ensures secondary users meet required SINR while minimizing interference with primary users, using techniques like water-filling and game-theory-based algorithms. Additionally, we employ spectrum sensing methods such as energy detection and cyclostationary feature detection to identify available spectrum and reduce interference. By integrating optimized power allocation and spectrum sensing, this approach improves spectrum efficiency, data throughput, and reduces interference, enhancing overall performance in cognitive radio networks.
Keywords:
Cite Article:
"Optimized Power Allocation and Channel Sensing in Multi-User Cognitive OFDM System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b59-b62, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504110.pdf
Downloads:
000327
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator