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 and Faculty Mentors or 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
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
Recommended Citation
Tanjil Amin and Danda B. Rawat, "Performance Analysis of Spectrum Sensing in Cognitive Vehicular Network for Mobile Secondary Users" (April 24, 2015). Georgia Southern University Research Symposium. Paper 28.
source:http://digitalcommons.georgiasouthern.edu/research_symposium/2015/2015/28
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.
