Presentation Title

Performance Analysis of Spectrum Sensing in Cognitive Vehicular Network for Mobile Secondary Users

Location

Atrium

Session Format

Poster Presentation

Research Area Topic:

Engineering and Material Sciences - Electrical

Co-Presenters, Co- Authors, Co-Researchers, Mentors, or Faculty Advisors

Dr. Danda B. Rawat

Abstract

Due to the rapid growth in wireless devices, fixed spectrum allocation policy is soon going to be non-existent and smart spectrum allocation policy is going to be the best choice for perfect utilization of such a scarce resource, bandwidth. In cognitive vehicular networks unlicensed secondary users use any spectrum channel based on primary user activity on the channel and to find out traffic on a spectrum band, the secondary users have to rely heavily on spectrum sensing. Most of the existing research on spectrum sensing was conducted considering secondary users to be stationary, thus avoiding consequences of mobility of secondary users on the performance of spectrum sensing to some extent. In a highly dynamic cognitive vehicular network the vehicles are assumed to be equipped with cognitive radio for spectrum sensing and they play the role of secondary users. To acquire information about more realistic nature of spectrum sensing and to predict the network behavior in practical scenarios, we scrutinize the combined impact of the mobility of secondary users and primary user activity on the performance of spectrum sensing in highly dynamic cognitive networks. Our main contribution in this paper is to investigate the change in nature of three important performance metrics of spectrum sensing such as probability of miss detection, probability of false alarm and expected transmission time with respect to mobility of secondary users. The mathematical model used in this paper considers velocity of secondary users, activity of primary users, initial distance between primary and secondary users and their transmission ranges. Numerical results procured from various simulation of the mathematical model are presented to make the analysis meaningful. It is noted that mobility of secondary users has a significant impact on probability of miss detection and expected transmission time, but probability of false alarm shows almost neutral behavior to mobility of secondary users.

Keywords

Cognitive vehicular network, Mobility, Spectrum sensing, Misdetection, False alarm, Expected transmission time

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Presentation Type and Release Option

Presentation (Open Access)

Start Date

4-24-2015 10:45 AM

End Date

4-24-2015 12:00 PM

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Apr 24th, 10:45 AM Apr 24th, 12:00 PM

Performance Analysis of Spectrum Sensing in Cognitive Vehicular Network for Mobile Secondary Users

Atrium

Due to the rapid growth in wireless devices, fixed spectrum allocation policy is soon going to be non-existent and smart spectrum allocation policy is going to be the best choice for perfect utilization of such a scarce resource, bandwidth. In cognitive vehicular networks unlicensed secondary users use any spectrum channel based on primary user activity on the channel and to find out traffic on a spectrum band, the secondary users have to rely heavily on spectrum sensing. Most of the existing research on spectrum sensing was conducted considering secondary users to be stationary, thus avoiding consequences of mobility of secondary users on the performance of spectrum sensing to some extent. In a highly dynamic cognitive vehicular network the vehicles are assumed to be equipped with cognitive radio for spectrum sensing and they play the role of secondary users. To acquire information about more realistic nature of spectrum sensing and to predict the network behavior in practical scenarios, we scrutinize the combined impact of the mobility of secondary users and primary user activity on the performance of spectrum sensing in highly dynamic cognitive networks. Our main contribution in this paper is to investigate the change in nature of three important performance metrics of spectrum sensing such as probability of miss detection, probability of false alarm and expected transmission time with respect to mobility of secondary users. The mathematical model used in this paper considers velocity of secondary users, activity of primary users, initial distance between primary and secondary users and their transmission ranges. Numerical results procured from various simulation of the mathematical model are presented to make the analysis meaningful. It is noted that mobility of secondary users has a significant impact on probability of miss detection and expected transmission time, but probability of false alarm shows almost neutral behavior to mobility of secondary users.