Open AccessCooperative Spectrum Sensing Based on HML and Vector Quantization for Cognitive Radio Networks
Author(s) -
Shweta Alpna,
Amrit Mukherjee,
Amlan Datta
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.20.16728
Subject(s) - cognitive radio , vector quantization , computer science , quantization (signal processing) , learning vector quantization , spectrum (functional analysis) , algorithm , artificial intelligence , electronic engineering , telecommunications , engineering , physics , wireless , quantum mechanics
The proposed work illustrates a novel technique for cooperative spectrum sensing in a cognitive radio (CR) network. The work includes an approach of identifying secondary users (SUs) based on Hierarchical Maximum Likelihood (HML) technique followed by Vector Quantization. Initially, the arrangement of the SUs are been observed using HML with respect to a spatial domain and then the active SUs among them are identified using VQ. The approach will not only save the energy, but the decision of the real-time and dynamic cooperative communication network becomes more accurate as we can predict the behavior of SUs movement and spectrum sensing by each individual SU at that particular place. The results and simulations of the real-time experiment justifies with the proposed approach.