Spectrum Opportunity Detection in Cellular Networks
Astha Sharma1, Laxman Singh2
1AsthaSharma, Department of Electronics & Comm. Engineering, IILM-AHL-College of Engineering & Technology, Gr. Noida, India.
2Laxman Singh* , Dept. of Elect. & Comm. Engineering, Noida Institute of Engineering & Technology, Gr. Noida, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2395-2399 | Volume-9 Issue-2, December, 2019. | Retrieval Number: A2255109119/2019©BEIESP | DOI: 10.35940/ijeat.A2255.129219
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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 signal propagation over wireless channels cannot be predicted perfectly due to numerous factors such as fading, channel interference and obstacles. An interference footprint is required to be estimated accurately for evaluation of the spatial spectrum opportunity. It is difficult to determine the spatial spectrum opportunities available in uplink bands of cellular networks due to different location of primary users at different times. In this research work, spatial spectrum opportunity in uplink bands of cellular network is determined using an efficient computational geometry tool for realistic scenario. Our results shows that the performance of umbrella footprints based approach is better than that of conventional circular footprints based approach in terms of false alarm and missed detection probabilities.
Keywords: Interference Model; Opportunistic Spectrum Access; Power Control; Spatial spectrum opportunity; Umbrella Diagram