Adaptive Threshold Based Sensing for Cognitive Wireless Mobile Network
Primary Faculty Mentor’s Name
danda rawat
Proposal Track
Student
Session Format
Poster
Abstract
Radio Frequency (RF) spectrum are statistically assigned to service providers by the FCC in existing wireless world. As technology rapidly grows, it becomes an issue to not over crowd restricted access of these frequency bands and severe issues in band width allocation will soon become an issue. Our goal is to design and experimentally test a system that uses RF senor technology to find idle channels for given time and location, which primary users have priority access to, for secondary to access and use for opportunistic communication and also determine the effects of mobility on the ability for a sensor to accurately find frequencies. For this, we create a system that scans channels for their activity based on power observed by a sensor. We set up experimental scenarios in order to test Universal Software Peripheral, USRP, devices as they scan frequency channels. We use probability of misdetection and false alarms as metrics to create a threshold limit for energy based detection. The design goal of this project is to solve the issue of using bandwidth as a determining factor of active power levels; this solution currently has issues with false alarms and misdetections of channels that are actually considered idle. We propose a solution to this problem by setting an adaptive threshold against power of a signal in order to determine whether or not it is considered idle. By creating this system, we expand the efficiency of channels that are reserved, but are not optimally being used. In this work, we experimentally test and record the ability of a sensor to accurately sense for active and idle channels across a radio frequency spectrum while implementing adaptive threshold to find idle channels for secondary users. This project is funded by U.S. National Science Foundation (NSF) under Research for Undergraduates (REU) grant CNS-1405670.
Keywords
RF Spectrum, Cognitive Network, Wireless Network, Spectrum Sensing, National Science Foundation
Award Consideration
1
Location
Concourse and Atrium
Presentation Year
2015
Start Date
11-7-2015 10:10 AM
End Date
11-7-2015 11:20 AM
Publication Type and Release Option
Presentation (Open Access)
Recommended Citation
source:http://digitalcommons.georgiasouthern.edu/gurc/2015/2015/67/
Adaptive Threshold Based Sensing for Cognitive Wireless Mobile Network
Concourse and Atrium
Radio Frequency (RF) spectrum are statistically assigned to service providers by the FCC in existing wireless world. As technology rapidly grows, it becomes an issue to not over crowd restricted access of these frequency bands and severe issues in band width allocation will soon become an issue. Our goal is to design and experimentally test a system that uses RF senor technology to find idle channels for given time and location, which primary users have priority access to, for secondary to access and use for opportunistic communication and also determine the effects of mobility on the ability for a sensor to accurately find frequencies. For this, we create a system that scans channels for their activity based on power observed by a sensor. We set up experimental scenarios in order to test Universal Software Peripheral, USRP, devices as they scan frequency channels. We use probability of misdetection and false alarms as metrics to create a threshold limit for energy based detection. The design goal of this project is to solve the issue of using bandwidth as a determining factor of active power levels; this solution currently has issues with false alarms and misdetections of channels that are actually considered idle. We propose a solution to this problem by setting an adaptive threshold against power of a signal in order to determine whether or not it is considered idle. By creating this system, we expand the efficiency of channels that are reserved, but are not optimally being used. In this work, we experimentally test and record the ability of a sensor to accurately sense for active and idle channels across a radio frequency spectrum while implementing adaptive threshold to find idle channels for secondary users. This project is funded by U.S. National Science Foundation (NSF) under Research for Undergraduates (REU) grant CNS-1405670.
