Enhanced energy Detection based spectrum sensing for Cognitive Radios
T V N L Aswini1, Padma Raju. K2, Leela Kumari. B3
1T V N L Aswini, ECE Department, Sri Vasavi Engg College, Pedatadepalli, Tadepalligudem,A.P., India.
2LeelaKumari B, ECE Department, Jawaharlal Nehru Technological University, Kakinada, India.
3Padma Raju K, ECE Department, Jawaharlal Nehru Technological University, Kakinada, India.
Manuscript received on 01 August 2019. | Revised Manuscript received on 07 August 2019. | Manuscript published on 30 September 2019. | PP: 8436-8440 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6295098319/2019©BEIESP | DOI: 10.35940/ijrte.C6295.098319
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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: Wireless communications play an important role in present days growth of wireless networks which shows the association of mobile systems and internet technologies like IoT in the future which offers various number of services. Different networks with different qualities of networks are available for various areas. In some areas, there will be no connectivity whereas some areas deliver poor connectivity to the network. Hence the spectrum may not be always in use which results in spectral inefficiency. Radio spectrum in the advancement of technology gave an effective solution in terms as Cognitive Radio which manages the spectrum by sensing and sharing effectively. Of all these, sensing plays an important role which detects the vacant band within less time. Energy Detector is one of the sensing methods became more popular because of its low complexity and moderate sensing time. The proposed method is an improvement of Energy Detector with an arbitrary power operation. This reduces the sensing time and improves the recovery performance even at low SNR. The simulation results have proved this for different SNRs ranging from -15db to 5db. The probability of detection was also increased.
Keywords: Spectrum Sensing, Cognitive Radio, Threshold, Sensing Gain.
Scope of the Article: Renewable Energy Technology