Loading

Transient Analysis of Interrupted Secondary Users with the Provision of Finite Buffer
B.B.V. Satya Vara Prasad1, B. Basaveswara Rao2, V. Vasanta Kumar3, K. Chandan4

1B.B.V. Satya Vara Prasad, Research Scholar Department of CSE, Acharya Nagarjuna University, Guntur, India & Assistant Professor in KLEF, Vijayawada (Andhra Pradesh), India.
2B. Basaveswara Rao, Department of Computer Centre, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.
3V. Vasanta Kumar, Professor& Head, of Department of Mathematics, K L E F, Vijayawada (Andhra Pradesh), India.
4K. Chandan, Professor, Department of Statistics, Acharya Nagarjuna University, Guntur (Andhra Pradesh), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1835-1850 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6103058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper investigates the provision of buffer mechanism impact for interrupted secondary users using analytical finite time dependent queuing model. The main focus of the research area in Cognitive Radio Networks(CRN) is the spectrum access management of the secondary users along with interrupted secondary users, because the secondary users play key role for getting maximum revenue of service providers with opportunistic spectrum access. During the transmission period of secondary users, the handoffs occurred due to primary user arrivals when all channels are busy. The primary users arrival rate, the state of all channels busy are fluctuated from time to time. In this paper, to resolve these timely varying problems with a two fold. (i) provision of buffer for the interrupted secondary users (ii) transition analysis is carried out to identify transition behavior of interrupted secondary users. For achieving these objectives, the CRN transmission process modeled as multi channel with finite buffer queueing model and differential equations are derived. Important performance metrics are evaluated based on these derived equations and numerical illustration is carried out. The analytical results presented as tables and graphs and conclusions are drawn.
Keyword: Cognitive Radio Networks, M/M/C/K, Queue Length, Throughput, Blocking Probability.
Scope of the Article: Image analysis and Processing.