Performance evaluation of ED based spectrum sensing over fluctuating two ray fading channel

• Published in: International journal of electronics and communications 2020-05, Vol.118, p.153143, Article 153143
• Main Authors: Kumar, Rahul, Soni, Surender Kumar
• Format: Article
• Language: English
• Subjects: Cognitive radio; Energy detection; Fading; FTR; Spectrum sensing
• ISSN: 1434-8411
• DOI: 10.1016/j.aeue.2020.153143

With the advancement in technologies like 5G and Internet of things (IOT), communication over non-traditional channel environment is growing. These technology enables large number of diverse devices to communicate in a given frequency band, hence high spectrum efficiency is desirable. Use of cognitive radio along with aforesaid technology is an obvious solution to achieve high spectrum efficiency. These communication scenarios are heavily affected by small scale fading and their behaviour could not be tracked accurately using conventional fading models. However recently developed fluctuating two ray fading (FTR) channel model can be used to model the behavior of mm wave in aforesaid fading environments. This paper investigates the performance of energy detection (ED) based spectrum sensing over FTR fading environments. To quantify the performance of ED, expression for Probability of detection and Area under the curve (AUC) have been derived. Then derived performance measures are studied in context with classical fading models, and a comprehensive analysis exhibits a degraded performance of ED based spectrum sensing in FTR fading environment, however improvements are shown by employing cooperative detection based spectrum sensing. At the end Monte Carlo simulations have been carried out to verify the validity of theoretically derived expressions.