Generalized Area Spectral Efficiency for Cognitive Radio Network using Lame Curve

Abstract

For easy functioning, cognitive radio networks (CRNs) are equipped with centralized center also known as decision making controller (DMC). The DMC handles the control and data flow from respective nodes to their destination. The performance of CRN is largely dependent on the control and data channel powers use to broadcast \ communicate over the network consisting of a DMC, a Cognitive User Equipment (CUE) and a licensed user equipment (LUE). Generalized Area Spectral Efficiency (GASE) acts as a performance evaluation metric for various communication networks. This paper focusses on developing an analytical result in terms of GASE and allowable collision probability for a CRN. The analytical analysis is derived using Lame Curve based on distances between DMC-CUE and CUE-LUE. Simulation result shows CRN performance based on GASE metrics for varying parameters.