Resource Allocation and Receiver Localization for Underlay CRs Using Interference Tweets

Abstract

Cognitive radio network provides re-utilization of unused portions of the licensed spectrum. Such that primary users do not affect harmful interference from the transmission of secondary users. Therefore, to analyze the effect of interference across primary user and their minimization have become an important criterion in cognitive network. This paper attempts to provide localization technique based on Bayesian approach gives exact location of primary user. The conventional localization technique provides information related to coverage region of primary user so we cannot estimate accurate location. Secondary users opportunistically share a fixed spectrum resource with different probability of interference constraints. The proposed algorithm shows increased network utility with optimize performance of secondary network.
DOI: 10.17762/ijritcc2321-8169.150280