Cost-Effective Spectrum Utilization for Futuristic Cognitive Radio based Services
Chanda V. Reddy
Dr. Chanda V.Reddy, Professor and Head, Department of TCE, Kammavari Sangham Institute of Technology, Bangalore, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2476-2480 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1616029420/2020©BEIESP | DOI: 10.35940/ijitee.D1616.029420
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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: The proliferation of various mobile users in the context of advanced wireless technologies, spectrum scarcity arises as a crucial problem. The notion of cognitive radio (CR) principle offers cost-effective spectrum reusability with intelligent mode of transmission model. It basically enables a radio-driven technology to utilize dynamic spectrum accessing to meet the quality-of-services (QoS) requirements by satisfying enormous communication and connectivity demands. To alleviate the spectrum scarcity problem the study proposes a novel analytical solution of spectrum allocation considering a simplified evolutionary learning model. The prime target of the formulated concept is to detects the spectrum holes effectively for reusability and the possibility of identification has be maximized for best possible spectrum allocation to the radios. And on the other hand also the occurrence of false positive identification has to be minimized. The outcome obtained after performing the simulation shows promising aspects in the context of effective spectrum allocation for higher priority user with better throughput performance.
Keywords: Cognitive Radio, Spectrum Allocation, multi-Objective Optimization, Throughput Performance
Scope of the Article: Cloud Resources Utilization in IoT