Skip to the content

Reliable spectrum sharing management for cognitive radio networks

Fakhrudeen, A and Alani, OYK 2016, Reliable spectrum sharing management for cognitive radio networks , in: Wireless Innovation Forum Conference on Wireless Communications Technologies and Software Defined Radio, 15-17 March 2016, Reston, Virginia, USA.

[img] PDF
Restricted to Repository staff only

Download (1MB)

Abstract

Cognitive Radio Network (CRN) is a promising network that aims to improve the utilization of the wireless spectrum by enabling unlicensed (secondary) users to reuse the underutilized bands. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. Numerous Internetwork spectrum sharing frameworks have been proposed in the literature; however, spectrum sharing among overlapping CRNs presents significant challenges. This paper comprises two major contributions; firstly, it proposes a novel CRNs management framework, CogMnet, which regulates the operation of centralized CRNs. CogMnet aims to ensure the reliability of CRNs' spectrum sharing by tackling the Primary User Emulation Attack (PUEA) issue and avoiding an overcrowded CRNs scenario. Secondly, it proposes CRN Admission Control (CRNAC) algorithm capable of determining the maximum number of CRNs allowed in any location. To the best of our knowledge CogMnet is the first Internetwork framework able to distinguish an attacker CRN that may perform PUEA. Furthermore, CRNAC is the first network admission decision making algorithm in the CRNs literature. Analytical results are presented to demonstrate the performance of the algorithm. Assigning the number of CRNs is very important to avoid saturated spectrum situation.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Funders: University of Salford
Depositing User: A Fakhrudeen
Date Deposited: 06 Apr 2016 09:39
Last Modified: 06 Apr 2016 09:39
URI: http://usir.salford.ac.uk/id/eprint/38630

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)

Downloads

Downloads per month over past year