Int. J. of Machine Intelligence and Sensory Signal Processing   »   2014 Vol.1, No.3

 

 

Title: QoS provisioning in channel allocation strategy in cognitive radio using fuzzy logic

 

Authors: Maninder Jeet Kaur; Harsh K. Verma; Moin Uddin

 

Addresses:
Department of Computer Science Engineering, Dr B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India
Department of Computer Science Engineering, Dr B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India
Faculty of Management and Information Technology, Jamia Hamdard University, New Delhi, India

 

Abstract: In the cognitive radio scenario, the secondary user (SU) detects the vacant spectrum holes, coordinates this information among the other secondary users and selects the most suitable of the vacant spectrum band for its transmission purposes, with the condition that the functioning of the primary user is not altered. For the realisation of this concept, there have been many studies, proposals for techniques, hardware and protocol suggested by the researchers. Subsequently, the focus has been on implementing smart behaviour into the radio devices to enable more adequate configurations, so as to make the devices get adapted to their environment. For implementations, the main challenge is to find the most appropriate way to correctly dimension the cognitive abilities of the device according to the environment as well as the user. In this paper, we use fuzzy logic to solve spectrum management issues related to spectrum decision and allocating specific channel to the secondary user. The different solutions presented include: 1) estimate the probability of primary channel utilisation; 2) estimate the channel availability and nonavailability periods; 3) monitor the traffic and estimate the probability of channel allocation guaranteeing the required QoS.

 

Keywords: cognitive radio; fuzzy logic; quality of service; QoS; channel allocation; spectrum management.

 

DOI: 10.1504/IJMISSP.2014.066438

 

Int. J. of Machine Intelligence and Sensory Signal Processing, 2014 Vol.1, No.3, pp.215 - 231

 

Submission date: 19 Aug 2013
Date of acceptance: 02 May 2014
Available online: 19 Dec 2014

 

 

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