Energy detector performance over log-normal fading channel with diversity reception

ABSTRACT

In this work, the performance of energy detection (ED)-based spectrum-sensing in cognitive radio (CR) networks over the Log-Normal (LN) fading channel has been analyzed. More specifically, accurate analytical expressions for the average detection probability using various diversity techniques, namely maximal ratio combining (MRC), equal gain combining (EGC), and selection combining (SC) are derived and evaluated. To get the improved system performance, the detection threshold parameter is optimized by minimizing the probability of error. The impact of the shadowing parameters on the performance of energy detectors is studied in the light of complimentary receiver operating characteristics (CROC) and area under the receiver operating characteristics curve (AUC). The derived analytical framework is generic which can be used for both integer and non-integer values of the shadowing parameters. To verify the correctness of our analysis, the derived results are corroborated via Monte-Carlo simulations.

KEYWORDS:

• Fading channel
• shadowing
• cognitive radio
• diversity
• spectrum sensing

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Sandeep Kumar http://orcid.org/0000-0002-5750-6112

Additional information

Notes on contributors

Puspraj Singh Chauhan

Puspraj Singh Chauhan was born in UP, India. He received his Bachelor of Technology in Electronics and Communication Engineering from Uttar Pradesh Technical University, India in 2009, the M. Tech degree in Digital Signal Processing from Govind Ballabh Pant Engineering College, Pauri, Uttarakhand, India in 2011. Currently he is working towards the PhD. degree in Electronics and Communication Engineering from Govind Ballabh Pant Engineering College, Pauri, Uttarakhand, India. His research interests include Wireless Communication and Propagation Channel Modeling.

Diwaker Tiwari

Diwaker Tiwari was born in Uttarakhand, India. He received his B. Tech. degree in Electronics and Communication Engineering from Uttarakhand Technical University, Dehradun in 2011 and M. Tech. in Digital Signal Processing from Uttarakhand Technical University, Dehradun in 2017. His main research interests are in the area of wireless fading channel modeling, cognitive radio.

Sanjay Kumar Soni

Sanjay Kumar Soni was born in UP, India on March, 1975. He received his Bachelor of Engineering in Electronics Engineering from Madan Mohan Malviya Engineering College, Gorakhpur, Uttar Pradesh, India in 1997, the M. Tech degree in Communication Engineering from IIT Kanpur in 2004, and PhD in wireless Communication Engineering from IIT Kharagpur, India in 2011. Currently he is working as Associate Professor in Electronics and Communication department, G. B. Pant Engineering College, Pauri. His research interests include Wireless Communication, Propagation Channel Modeling, Cognitive Radio, MIMO-OFDM, UWB Communication, Statistical Characterization of Wireless Channel.

Sandeep Kumar

Sandeep Kumar received his B. Tech. in electronics and communication from Kurukshetra University, India in 2004 and Master of Engineering in Electronics and Communication from Thapar University, Patiala, India in 2007. He received his Ph.D. from Delhi Technological University, Delhi, India in 2018. He is currently working as Member (Senior Research Staff) at Central Research Laboratory, Bharat Electronics Limited Ghaziabad, India. His research interests include the study of wireless channels, performance modeling of fading channels and cognitive radio networks. He is also serving as a reviewer for IEEE, Elsevier and Springer journals.