Efficient Spectrum Utilization using Dynamic Spectrum Allocation in Multiuser Cognitive Radio Network
Tamilarasan. K1, JeevaaKatiravan2, Rajesh.L3

1Tamilarasan.K, Department of Electronics Engineering, MIT, Anna University, Chennai, (Tamilnadu), India.
2JeevaaKatiravan, Department of Computer Science and Engineering, Velammal Engineering College, Chennai, (Tamilnadu), India.
3Rajesh.L, Department of Electronics Engineering, MIT, Anna University, Chennai, (Tamilnadu), India.

Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1687-1692 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6596068819/19©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: With the blooming of the IoT and mobile technologies, the demand for bandwidth is increasing. As a result, spectrum resources are becoming scarce. Emerging Cognitive Radio Networks (CRN) technology provides an efficient solution to address this problem.With appropriate spectrum sensing methods, the secondary users (SUs) can find the available spectrum holes without influencing the PUs. However, the allocation of these resources among the SUs becomes the major problem. This paper proposes the dynamic spectrum allocation method for finding the maximum consecutive spectrum hole to provide the maximum possible transmission rate to each SU. The probability distribution of the available channels is used to detect the maximum consecutive spectrum hole. M/G/K/K queueing model is used to derive the performance metrics of SUs.
Keyword: Cognitive Radio Networks, Queueing models, Probability distribution, Dynamic Spectrum Allocation.
Scope of the Article: Bio Science and Bio-Technology.