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SEAMCAT Manual Table of contents
- About this Wiki
- About the STG (SEAMCAT Technical Group)
- About the source code
- Frequently Asked Questions
- How to register on TracTool?
- Tutorial videos
- Known Issues
- Disclaimer
Introduction
Main structural elements of SEAMCAT
Data elements
- SEAMCAT Data types
- Function entry dialog window
- Emissions mask dialog window
- Random distribution dialog window
- Antenna pattern dialog window
- Signal display window
- How to generate a truncated distribution?
Simulation workspace
Creating SEAMCAT scenario
- Simulation scenario and its programming
- Victim link dialog window
- Interfering link dialog window
- CDMA system dialog window
- Sharing and importing scenarios
CDMA module
- CDMA Module Overview
- CDMA Simulation Engine (CDMAE)
- CDMA system dialog window
- CDMA Link level data
- CDMA simulation algorithm
- CDMA input parameters
- CDMA output results
OFDMA module
Cognitive Radio System module
Performing a simulation
- Simulation control settings
- Running a simulation (event generation)
- Calculating probability of interference
Simulation results...
- Producing simulation report
- Logging options and Remote server
- Saving results in .csv format
Library of scenario elements
- SEAMCAT Library
- Antenna elements
- Receiver elements
- Transmitter elements
- CDMA Link level data
- Propagation model plugins
- Post processing plugins
- Setting up environment for programming plugins
- Exporting and importing a library
Special functions
Detailed algorithms
- Calculation of wanted signal (dRSS)
- Calculation of unwanted and blocking signals (iRSS)
- Calculation of overloading (iRSS)
- Calculation of intermodulation signal (iRSS)
- Interference calculation (non-CDMA/non-OFDMA)
- CDMA simulation algorithm
- OFDMA simulation algorithm
Elementary calculations
- Relative location of VR and IT (Simulation Radius)
- Relative location of transceivers within a link
- Calculation of azimuths and elevations (within a link)
- Calculation of azimuths and elevations (IT-VR path)
- Calculation of antenna gains
- Calculation of VR blocking attenuation
- Calculation of the coverage radius of a transmitter
- Calculation of IT power control gain
- Calculation of IT (unwanted) emissions
Propagation models
- Guide to propagation models in SEAMCAT
- How to test propagation model?
- ITU-R P.1546 model
- Extended Hata and Hata-SRD models
- Spherical diffraction model
- Free Space Loss model
- User-defined model (Propagation plug-in)
- JTG5-6 propagation plug-in
- SE42 propagation plug-in
- Longley Rice propagation plug-in
- Winner propagation plug-in
- IEEE 802.11 Model C (modified) plug-in
Reference annexes
- Setting antenna height, pointing azimuth and elevation
- Setting path azimuths in links
- Setting blocking attenuation of victim receiver
- Scenario consistency check
- Error and warning messages
Example Scenarios
Release to be tested by STG
Cognitive Radio Algorithm
Cognitive radio is a new technology which is being developed to bring greater efficiency, speed and reliability to users of wireless devices. The number of high powered wireless devices coming on to the market is increasing exponentially placing an unprecedented demand on the limited radio spectrum. Cognitive radio technology is seen as a potential solution to this problem as it identifies unused frequencies in a local area and switches a device to this temporarily to provide users with uninterrupted and faster mobile services.
The Manual on Cognitive Radio Simulation (3.5 MB) has been developed to aid technical studies into this new technology. The manual sets out how SEAMCAT can be used for spectrum sensing where the interfering devices (It) try to detect the presence of protected services (e.g. the Wt) transmitting in each of the potentially available channels.
Spectrum sensing essentially involves conducting a measurement within a candidate channel to determine whether any protected service is present and transmitting. When a channel is determined to be vacant, sensing is typically applied to adjacent channels to identify what constraints there might be on transmission power, if any.
A key parameter for spectrum sensing is the detection threshold that is used by a cognitive device to detect the presence or the absence of a protected service’s transmission. If it detects no emission above this threshold in a channel, the white space device (WSD, i.e. the It) is allowed to transmit, otherwise the WSD keeps silent or look into other channels.
SEAMCAT allows studying this phenomenon with its implementation of the algorithm. SEAMCAT enables multiple cognitive radio systems. The cognitive radio feature mainly introduces the detection threshold and the selection of the operating frequency of the WSD.
Here is an example of Initial results of the SEAMCAT simulations using new CRS module with the workspace (revised 24 June 2010)
Attachments
-
STG(10)19 Annex2 - SEAMCAT specification for CR implementation.pdf
(285.1 KB) -
added by jean-philippe 2 years ago.
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SE43(10)102_ECO on SEAMCAT simulations of WSD-2rev24June2010.pdf
(284.4 KB) -
added by jean-philippe 20 months ago.
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CRS-preliminary results_rev24June2010.sws
(101.2 KB) -
added by jean-philippe 20 months ago.
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STG(11)12rev1 - SEAMCAT Cognitive Radio manual (STG(10)41rev10).pdf
(3.3 MB) -
added by jean-philippe 13 months ago.
