Performance Analysis of MADM Techniques in Cognitive Radio for Proximity Services

Abstract

It is envisioning that Cognitive Radio (CR) networks are boundless to end up spectrum scantiness and upgrade spectrum efficiency by spectrum allocation techniques. Cognitive Radio authorizes to use the unlicensed spectrum with the ease of spectrum sensing. Energy detection is one of the prominent methodologies of spectrum sensing. Energy detection does not require any prerequisite knowledge about the primary user. The energy detector differentiates the calculated energy with the threshold value to check the channel availability. Energy detection with adaptive double threshold meliorates than Adaptive Threshold. The regulation of radio frequencies procedure is managed by spectrum handoff. Spectrum handoff is the main aspect of Spectrum Management techniques. The phenomenon of spectrum handoff starts with the appearance of Cognitive Radio. The decision of selecting the top notch network by network selection ranking in spectrum handoff using Multiple Attribute Decision Making schemes (MADM). MADM itself is a procedure used to obtain the ideal alternative from different alternative with particular attribute. The objective of this paper is to implement Grey Relational Analysis (GRA) and Cost Function method and in contrast with simple additive weighting (SAW) and technique of order preference to ideal solution (TOPSIS). The comparison of multiple attribute based on quad-play services in CR network to reduce complexity and extent quality of services. The numerical results indicate that Grey Relational Analysis is reliable for optimal network using Relative Standard Deviation having quad-play services such as voice, video, data, and mobile voice over Internet are 4.34, 16.06, 10.80, 9.9 used in this paper.