Efficient Spectrum Sensing and Decision Making for Utilizing TV White Spaces
Sri Jagadeesh. R1, Meghalatha.CK2, Krishna Chaitanya.K3, B. Seetha Ramanjaneyulu4
1Sri Jagadeesh. R, Department of ECE, VFSTR University, Vadlamudi, Guntur (A.P), India.
2Meghalatha.CK, Department of ECE, VFSTR University, Vadlamudi, Guntur (A.P), India.
3Krishna Chaitanya.K, Department of ECE, VFSTR University, Vadlamudi, Guntur (A.P), India.
4Dr. B.Seetha Ramanjaneyulu, Department of ECE, VFSTR University, Vadlamudi, Guntur (A.P), India.
Manuscript received on 13 February 2019 | Revised Manuscript received on 04 March 2019 | Manuscript Published on 08 June 2019 | PP: 275-279 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10560275S419/19©BEIESP
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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: Accurate sensing of spectrum is important while utilizing the TV white space frequencies using cognitive radio mechanism. The secondary user needs to know whether the channel is occupied by the primary user or it is vacant. It is also needed to vacate the channel within reasonable time, when the primary user returns back. In this paper, two methods are proposed to aid the process of channel acquisition and handoff of Television white space (TVWS) frequencies, by secondary users. These are based on sensing the spectrum with appropriate intervals and carrying out background sensing of channels. It is found that these methods offer better sensing with low latency and high QoS.
Keywords: TVWS, Spectrum Access, Cognitive Radio, Background Sensing, Channel Allocation.
Scope of the Article: Distributed Mobile Applications Utilizing IoT