Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks
Vani B P1, R. Sundaraguru2
1Vani B P*, Research Scholar, Department of Electronics & Communication Engineering. Sir M. Visvesvaraya Institute of Technology, Bengaluru, India.
2Dr. R. Sundaraguru, Professor and HoD, Department of Electronics & Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India
Manuscript received on November 18, 2019. | Revised Manuscript received on 29 November, 2019. | Manuscript published on December 10, 2019. | PP: 3017-3022 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6655129219/2019©BEIESP | DOI: 10.35940/ijitee.B6655.129219
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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 adoption of cognitive radio technology is characterized by various beneficial characteristics that can facilitate better spectrum sensing performance in a 5G network and thereby acting as a boosting element towards a high data transmission rate. However, it is also characterized by various challenges that limit the significant development in resource utilization in 5G. Therefore, this paper introduces a novel and simplified mechanism that facilitates the 5G network to perform better in data transmission and its associated quality of it. The proposed system also performs modeling using practical constraints associated with the usage of cognitive radio over 5G networks using a convex optimization approach. The model is simulated using practical environmental parameters to prove that the proposed system excels better performance in faster processing and quality signal in contrast to the existing resource allocation scheme exercised in 5G networks.
Keywords: Cognitive Radio, Internet of Things, 5G networks Resource, Cost.
Scope of the Article: Internet of Things