Effect of Dynamic Spectrum Aggregation and Allocation Algorithms in Cognitive Radio Networks
N. Suganthi1, S. Meenakshi2
1N. Suganthi, Research Scholar, Sathyabama University, Assistant Professor, Department of Information Technology, Jeppiaar SRR Engineering College, Chennai, India.
2Dr. S. Meenakshi , Professor and Head of the Department, Department of Information Technology Jeppiaar SRR Engineering College, Chennai, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9865-9868 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9151118419/2019©BEIESP | DOI: 10.35940/ijrte.D9151.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With rapid proliferation of radio technology, discontinuous spectrum aggregation and access in a single radio has become conceivable. When the bandwidth of the spectrum fragment is narrow, then spectrum aggregation can be utilized to bundle multiple small fragments in one radio. This can positively improve the efficiency of the spectrum utilization. Though, aggregation of fragmented segments leads to improved spectrum utilization it results in further spectrum fragmentation leading to practical hardware constraints. As a solution, we use the popular memory allocation techniques to perform spectrum aggregation so that further fragmentation can be reduced. We derive at an efficient Spectrum Aggregation Algorithm based on Memory Allocation techniques.
Keywords: Cognitive Radio, Spectrum Aggregation, Channel Fragments, Memory Allocation.
Scope of the Article: Aggregation, Integration, and Transformation.